Aimee E. Pugh‐Bernard
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research
Papers in
-
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 1
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Amedeo Cappione (7 shared papers)Iñaki Sanz (5 shared papers)Jennifer H. Anolik (5 shared papers)Gregg J. Silverman (3 shared papers)Jennifer Barnard (2 shared papers)Lori Sussel (2 shared papers)Beatriz Sosa‐Pineda (1 shared paper)Lynda Elghazi (1 shared paper)
- Journals
- Journal of Clinical Investigation (3 papers)The Journal of Immunology (2 papers)Developmental Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Current Opinion in Rheumatology (1 paper)
- Partner nations
- United States
In The Last Decade
Aimee E. Pugh‐Bernard
11 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 71
- Immunology 1.2k
- Rheumatology 589
- Endocrine and Autonomic Systems 162
- Genetics 211
- Radiology, Nuclear Medicine and Imaging 396
Countries citing papers authored by Aimee E. Pugh‐Bernard
This map shows the geographic impact of Aimee E. Pugh‐Bernard'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 Aimee E. Pugh‐Bernard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aimee E. Pugh‐Bernard more than expected).
Fields of papers citing papers by Aimee E. Pugh‐Bernard
This network shows the impact of papers produced by Aimee E. Pugh‐Bernard. 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 Aimee E. Pugh‐Bernard. The network helps show where Aimee E. Pugh‐Bernard may publish in the future.
Co-authors
The 25 scholars most cited alongside Aimee E. Pugh‐Bernard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 453 | |
| 2 | 2004 | 370 | |
| 3 | 2004 | 362 | |
| 4 | 2001 | 262 | |
| 5 | 2005 | 259 | |
| 6 | 2001 | 252 | |
| 7 | 2004 | 132 | |
| 8 | 2007 | 78 | |
| 9 | 2006 | 34 | |
| 10 | 2008 | 19 | |
| 11 | 2004 | 2 |
About Aimee E. Pugh‐Bernard
Aimee E. Pugh‐Bernard is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Rheumatology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Systemic Lupus Erythematosus Research (3 papers), Pancreatic function and diabetes (2 papers), Diet, Metabolism, and Disease (2 papers), Diabetes and associated disorders (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (1.2k citations), Rheumatology (589 citations), Endocrine and Autonomic Systems (162 citations), Genetics (211 citations) and Radiology, Nuclear Medicine and Imaging (396 citations). Aimee E. Pugh‐Bernard has collaborated with scholars based in United States. Frequent co-authors include Amedeo Cappione, Iñaki Sanz, Jennifer H. Anolik, Gregg J. Silverman, Jennifer Barnard, Lori Sussel, Beatriz Sosa‐Pineda, Lynda Elghazi, Richard A. Insel and Daniel Ryan. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology, Developmental Biology, Proceedings of the National Academy of Sciences and Current Opinion in Rheumatology.
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.