Charles C. Abrams

21 papers receiving 1.1k citations

Peers

Charles C. Abrams
Comparison fields: 5 of 47
  • Agronomy and Crop Science 900
  • Ecology, Evolution, Behavior and Systematics 611
  • Cardiology and Cardiovascular Medicine 505
  • Infectious Diseases 216
  • Immunology 227
Replace Otfried Marquardt with:
Otfried Marquardt Germany
Marisa Nogal Spain
Yimei Cao China
Julian Seago United Kingdom
Pu Sun China
Xingwen Bai China
Elizabeth A. Vuono United States
Hongxing Ding China
Alison Burman United Kingdom
Shaoxiong Yu China
Charles C. Abrams relative to Otfried Marquardt Germany Otfried Marquardt's profile →
Citations per field
00.5×9.3×
Otfried Marquardt · 1×
Citations per year

Countries citing papers authored by Charles C. Abrams

Since Specialization
Citations

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

Fields of papers citing papers by Charles C. Abrams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles C. Abrams. 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 Charles C. Abrams. The network helps show where Charles C. Abrams may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016153
2 2004144
3 1998124
4 1995111
5 1995101
6 201369
7 200067
8 200656
9 200750
10 200740
11 199138
12 199430
13 201230
14 199029
15 199926
16 201221
17 201318
18 201314
19 200811
20 19993

About Charles C. Abrams

Charles C. Abrams is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Cardiology and Cardiovascular Medicine, Immunology and Molecular Biology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (18 papers), Vector-Borne Animal Diseases (14 papers), Viral Infections and Immunology Research (10 papers), T-cell and Retrovirus Studies (7 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Toxin Mechanisms and Immunotoxins (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Agronomy and Crop Science (900 citations), Ecology, Evolution, Behavior and Systematics (611 citations), Cardiology and Cardiovascular Medicine (505 citations), Infectious Diseases (216 citations) and Immunology (227 citations). Charles C. Abrams has collaborated with scholars based in United Kingdom, France and Spain. Frequent co-authors include Linda K. Dixon, Lynnette C. Goatley, Graham J. Belsham, Andrew M. Q. King, James Miskin, David A. Chapman, Christopher L. Netherton, Gavin C. Bowick, Ana Luísa Reis and Pedro J. Sánchez‐Cordón. Their work appears in journals such as Journal of Virology, Virology, Journal of General Virology, Veterinary Research and Veterinary Immunology and Immunopathology.

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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