Brian LaMoreaux

726 citations
67 papers · 472 · h-index 13

Impact in

  • Nephrology top 1%
    • Gout, Hyperuricemia, Uric Acid
  • Rheumatology top 10%
    • Urticaria and Related Conditions
    • Eosinophilic Disorders and Syndromes
    • Spondyloarthritis Studies and Treatments

Papers in

    • Gout, Hyperuricemia, Uric Acid 54
    • Case Reports on Hematomas 5
    • Muscle and Compartmental Disorders 5

Brian LaMoreaux

59 papers receiving 455 citations

Peers

Brian LaMoreaux
Comparison fields: 5 of 56
  • Nephrology 368
  • Rheumatology 96
  • Hepatology 24
  • Surgery 119
  • Hematology 17
Replace S.-F. Luo with:
S.-F. Luo China
Hsiao-Chun Chang Taiwan
Roger Sinclair Australia
Toshiko Nagata Japan
K Sonda Pakistan
Maria Ludovica Degl’Innocenti Italy
Loreto Gesualdo Italy
Miltiades Kastanakis Greece
Takuya Fujimaru Japan
Chiara Donadei Italy
Brian LaMoreaux relative to S.-F. Luo China S.-F. Luo's profile →
Citations per field
00.5×
S.-F. Luo · 1×
Citations per year

Countries citing papers authored by Brian LaMoreaux

Since Specialization
Citations

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

Fields of papers citing papers by Brian LaMoreaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian LaMoreaux. 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 Brian LaMoreaux. The network helps show where Brian LaMoreaux may publish in the future.

Co-authors

The 25 scholars most cited alongside Brian LaMoreaux, 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 Brian LaMoreaux Line = papers co-authored together Brian LaMoreaux links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202044
2 202042
3 202237
4 202134
5 202022
6 201919
7 202017
8 202316
9 201516
10 202215
11 202114
12 202313
13 202013
14 202012
15 202210
16 20229
17 20199
18 20199
19 20228
20 20237

About Brian LaMoreaux

Brian LaMoreaux is a scholar working on Nephrology, Surgery, Rheumatology, Hepatology and Pathology and Forensic Medicine, having authored 67 papers that have together received 472 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (54 papers), Urticaria and Related Conditions (7 papers), Case Reports on Hematomas (5 papers), Muscle and Compartmental Disorders (5 papers), Liver Disease and Transplantation (4 papers), Hepatitis C virus research (3 papers), Systemic Sclerosis and Related Diseases (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Nephrology (368 citations), Rheumatology (96 citations), Hepatology (24 citations), Surgery (119 citations) and Hematology (17 citations). Brian LaMoreaux has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Lissa Padnick‐Silver, K. Obermeyer, Richard J. Johnson, Michael E. Weinblatt, Robert T. Keenan, Megan Francis‐Sedlak, John Tesser, Puja Khanna, Naomi Schlesinger and Robert J. Holt. Their work appears in journals such as Annals of the Rheumatic Diseases, Rheumatology and Therapy, ACR Open Rheumatology, Arthritis Research & Therapy and Lara D. Veeken.

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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