Edward K. L. Chan


Dr. Chan has lifelong interests in human autoantibodies during his postdoctoral training at the Scripps Research Institute, La Jolla. His lab has been highly successful in using autoimmune antibodies to identify and clone a number of interesting self-antigens. These include SS-B/La; Ro52/TRIM21; the ribosomal RNA transcription factor NOR90/hUBF; p80-coilin of the Cajal body; coiled-coil-rich Golgi proteins known as golgins; and GW182, a marker for cytoplasmic foci GW bodies. A new area is the identification of novel rod/ring structures, that are targets of autoantibodies in patients with hepatitis C infection and undergone interferon/ribavirin therapy. These structures are observed in conditions requiring increased GTP/CTP biosynthesis in all mammalian cells examined to date. Since 1999, he has served on the Autoantibody Standardization Committee and currently serving as Chairman (2015-2018). He also serves as coordinator for the International Consensus on Antinuclear antibody Patterns (ICAP) initiative together with Luis E. C. Andrade since 2014. His lab is currently active on microRNA research in innate immunity, autoimmune diseases, and oral cancer.

Research Fields


Has reviewed for

Showing 6 of 56  

Pre Publication Reviews

Showing of  

Your statistics are calculated based on the information you have submitted to Publons.
Read more about them here.

Compare your statistics to those of any research field on Publons using the form below. Leaving the form blank will compare your statistics to all research fields on Publons.



Reviews (last 12 months)


Reviews (average per year)






Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Edward K. L. Chan has reviewed for.

Edward K. L. Chan

All fields reviewers

Total reviews over time

A cumulative record of Edward K. L. Chan's total number of reviews.

Reviews per month

The total number of reviews performed by Edward K. L. Chan each month.

Average review length

The average number of words per review (for which we have content), compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.

Weekly review punchcard

The distribution of days that reviews were performed on, compared to All fields reviewers and reviewers at affiliated institutions.