Suzanne Li

4.5k citations
83 papers · 3.3k · h-index 31

Impact in

Papers in

Suzanne Li

79 papers receiving 3.2k citations

Peers

Suzanne Li
Comparison fields: 5 of 108
  • Developmental Neuroscience 210
  • Rheumatology 690
  • Pathology and Forensic Medicine 805
  • Hematology 372
  • Dermatology 233
Replace John R. Richert with:
John R. Richert United States
Stephen Reddel Australia
Norbert Goebels Germany
Behrouz Nikbin Iran
Anne‐Katrin Pröbstel Switzerland
Louise A. Brueton United Kingdom
Jonathan Zonana United States
Luís Querol Spain
Scott M. Paul United States
Christopher L. Moertel United States
Suzanne Li relative to John R. Richert United States John R. Richert's profile →
Citations per field
00.5×2×4×6.8×
John R. Richert · 1×
Citations per year

Countries citing papers authored by Suzanne Li

Since Specialization
Citations

This map shows the geographic impact of Suzanne Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Suzanne Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Li more than expected).

Fields of papers citing papers by Suzanne Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Suzanne Li. The network helps show where Suzanne Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Suzanne Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suzanne Li Line = papers co-authored together Suzanne Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004318
2 2019178
3 2012166
4 2002162
5 1984159
6 2017157
7 2009153
8 2009134
9 2016115
10 2013112
11 1999101
12
Age-dependent changes in the molecular size of human lens proteins and their relationship to light scatter.
197483
13 199472
14 201867
15 201966
16 200963
17 202060
18 201754
19 199048
20 201743

About Suzanne Li

Suzanne Li is a scholar working on Pathology and Forensic Medicine, Rheumatology, Hematology, Pulmonary and Respiratory Medicine and Speech and Hearing, having authored 83 papers that have together received 3.3k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (36 papers), Autoimmune and Inflammatory Disorders Research (9 papers), Vasculitis and related conditions (8 papers), Spondyloarthritis Studies and Treatments (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Adolescent and Pediatric Healthcare (4 papers), T-cell and B-cell Immunology (4 papers) and Dermatological and Skeletal Disorders (4 papers). The work is most often cited by research in Developmental Neuroscience (210 citations), Rheumatology (690 citations), Pathology and Forensic Medicine (805 citations), Hematology (372 citations) and Dermatology (233 citations). Suzanne Li has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Eseng Lai, Carina Hanashima, Lijian Shen, Catherine L. Squires, Craig L. Squires, Gord Fishell, Dafna Gladman, Vinod Chandran, Kathryn S. Torok and Gloria C. Higgins. Their work appears in journals such as Pediatric Rheumatology, The Journal of Rheumatology, Arthritis & Rheumatology, Arthritis Care & Research and Molecular and Cellular Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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