Richard M. Scearce

8.0k citations
67 papers · 3.3k indexed · 1 hit paper · h-index 32

Richard M. Scearce

66 papers receiving 3.1k citations

Hit Papers

Cardiolipin Polyspecific Autoreactivity in Two Broadly Ne...5532005202620122019100200300400500

Peers

Richard M. Scearce
Comparison fields: 5 of 99
  • Virology 1.5k
  • Immunology 1.8k
  • Radiology, Nuclear Medicine and Imaging 664
  • Agronomy and Crop Science 275
  • Infectious Diseases 465
Replace Takao Masuda with:
Takao Masuda Japan
Claudia Ballaun Austria
J P Lévy France
Jean Claude Gluckman France
Yasuko Tsunetsugu‐Yokota Japan
F. Dianzani Italy
Naoki Oyaizu Japan
Roberto S. Accolla Italy
Robert M. Woods United States
Zhongyu Zhu United States
Richard M. Scearce relative to Takao Masuda Japan Takao Masuda's profile →
Citations per field
00.5×3.0×
Takao Masuda · 1×
Citations per year

Countries citing papers authored by Richard M. Scearce

Since Specialization
Citations

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

Fields of papers citing papers by Richard M. Scearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard M. Scearce. 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 Richard M. Scearce. The network helps show where Richard M. Scearce may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20178
2 201027
3 201031
4 200920
5 20081
6 200785
7 2006125
8 200646
9 200533
10 200521
11 200437
12 200431
13 20021
14 200229
15 200220
16 199515
17 199315
18 1989109
19 198968
20 1984127

About Richard M. Scearce

Richard M. Scearce is a scholar working on Virology, Immunology and Infectious Diseases, having authored 67 papers that have together received 3.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (28 papers), Immune Cell Function and Interaction (23 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), HIV/AIDS drug development and treatment (11 papers), T-cell and B-cell Immunology (10 papers), T-cell and Retrovirus Studies (8 papers), Glycosylation and Glycoproteins Research (7 papers) and Diabetes and associated disorders (6 papers). The work is most often cited by research in Virology (1.5k citations), Immunology (1.8k citations) and Radiology, Nuclear Medicine and Imaging (664 citations). Richard M. Scearce has collaborated with scholars based in United States, Japan and South Africa. Frequent co-authors include Barton F. Haynes, S. Munir Alam, B F Haynes, T J Palker, Hua‐Xin Liao, George S. Eisenbarth, Herman F. Staats, James E. Robinson, David F. Lobach and J. T. Fleming. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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