Lawrence Wang

24 papers receiving 570 citations

Peers

Lawrence Wang
Comparison fields: 5 of 91
  • Health 61
  • Epidemiology 225
  • Virology 27
  • Public Health, Environmental and Occupational Health 132
  • Surgery 191
Replace Miguel Ángel Sánchez-Alemán with:
Miguel Ángel Sánchez-Alemán Mexico
MJ Tormo Spain
Marla Shapiro Canada
Yuyang Xu China
Aaron F. Bochner United States
William W. Huang United States
Matthys H. Botha South Africa
Jill M. Forrest Australia
Shu Su China
Benedetto Simone Italy
Lawrence Wang relative to Miguel Ángel Sánchez-Alemán Mexico Miguel Ángel Sánchez-Alemán's profile →
Citations per field
00.5×3.5×
Miguel Ángel Sánchez-Alemán · 1×
Citations per year

Countries citing papers authored by Lawrence Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201584
2 201766
3 202063
4 201554
5 201935
6 201434
7 201630
8 201430
9 201525
10 202123
11 201220
12 202118
13 201817
14 201513
15 201512
16 201411
17 20209
18 20228
19 20237
20 19957

About Lawrence Wang

Lawrence Wang is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Surgery, Virology and Infectious Diseases, having authored 25 papers that have together received 581 indexed citations. Recurring topics across this work include Malaria Research and Control (8 papers), Mosquito-borne diseases and control (5 papers), HIV Research and Treatment (4 papers), Shoulder Injury and Treatment (4 papers), Shoulder and Clavicle Injuries (4 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Nerve Injury and Rehabilitation (2 papers). The work is most often cited by research in Health (61 citations), Epidemiology (225 citations), Virology (27 citations), Public Health, Environmental and Occupational Health (132 citations) and Surgery (191 citations). Lawrence Wang has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Nathanael D. Heckmann, Thay Q. Lee, Reza Omid, C. Thomas Vangsness, Michelle H. McGarry, Mark H. Sawyer, K. Michael Peddecord, James E. Tibone, Evan Argintar and Pamela Orjuela-Sánchez. Their work appears in journals such as Journal of Shoulder and Elbow Surgery, Journal of Adolescent Health, Cell Reports, PLoS Pathogens and Knee Surgery Sports Traumatology Arthroscopy.

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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