Lawrence S. Chan

7.3k total citations
121 papers, 4.6k citations indexed

About

Lawrence S. Chan is a scholar working on Pathology and Forensic Medicine, Rheumatology and Genetics. According to data from OpenAlex, Lawrence S. Chan has authored 121 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Pathology and Forensic Medicine, 45 papers in Rheumatology and 41 papers in Genetics. Recurrent topics in Lawrence S. Chan's work include Autoimmune Bullous Skin Diseases (63 papers), Urticaria and Related Conditions (43 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (40 papers). Lawrence S. Chan is often cited by papers focused on Autoimmune Bullous Skin Diseases (63 papers), Urticaria and Related Conditions (43 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (40 papers). Lawrence S. Chan collaborates with scholars based in United States, Belgium and Japan. Lawrence S. Chan's co-authors include Lei Bao, Kevin D. Cooper, Amy S. Paller, Huayi Zhang, Mei Chen, Luting Xu, John J. Voorhees, Takashi Hashimoto, Craig Hammerberg and Vivian Y. Shi and has published in prestigious journals such as JAMA, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

Lawrence S. Chan

120 papers receiving 4.4k citations

Peers

Lawrence S. Chan
Comparison fields: 5 of 124
  • Pathology and Forensic Medicine 2.0k
  • Rheumatology 1.5k
  • Dermatology 1.4k
  • Genetics 1.2k
  • Immunology 912
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Michael D. Tharp United States
Tamihiro Kawakami Japan
Ingrid Haußer Germany
Beate M. Henz Germany
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Yuji Shirakata Japan View profile →
Citations per field, relative to Lawrence S. Chan
Lawrence S. Chan · 1×
Citations per year, relative to Lawrence S. Chan
Lawrence S. Chan · 1×

Countries citing papers authored by Lawrence S. Chan

Since Specialization
Citations

This map shows the geographic impact of Lawrence S. Chan'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 Lawrence S. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence S. Chan more than expected).

Fields of papers citing papers by Lawrence S. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence S. Chan. 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 Lawrence S. Chan. The network helps show where Lawrence S. Chan may publish in the future.

Co-authorship network of co-authors of Lawrence S. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence S. Chan. A scholar is included among the top collaborators of Lawrence S. Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lawrence S. Chan. Lawrence S. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 18
4 15
5 262
6 54
7 42
8
Effectiveness and side effects of anti-CD20 therapy for autoantibody-mediated blistering skin diseases: A comprehensive survey of 71 consecutive patients from the Initial use to 2007
6
9 93
10 10
11 232
12 18
13 76
14 32
15 47
16 13
17 2
18 17
19 106
20 1

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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