Eric Derby
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
-
- Pluripotent Stem Cells Research 2
- Glycosylation and Glycoproteins Research 1
- Cell death mechanisms and regulation 1
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 1
- Co-authors
- Wu Ma (2 shared papers)Mahendra S. Rao (2 shared papers)Mark P. Mattson (2 shared papers)Anatoli Malyguine (5 shared papers)Michael Baseler (5 shared papers)Thomas J. Sayers (3 shared papers)Susan Strobl (1 shared paper)Kimberly Shafer-Weaver (1 shared paper)
- Journals
- Immunology Letters (2 papers)Biological Psychiatry (1 paper)International Immunology (1 paper)Cytokine (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United States
In The Last Decade
Eric Derby
10 papers receiving 500 citations
Peers
Comparison fields: 5 of 68
- Developmental Neuroscience 53
- Immunology 169
- Cellular and Molecular Neuroscience 71
- Molecular Biology 227
- Immunology and Allergy 16
Countries citing papers authored by Eric Derby
This map shows the geographic impact of Eric Derby'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 Eric Derby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Derby more than expected).
Fields of papers citing papers by Eric Derby
This network shows the impact of papers produced by Eric Derby. 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 Eric Derby. The network helps show where Eric Derby may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Derby, 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 | 2008 | 207 | |
| 2 | 2003 | 100 | |
| 3 | 2001 | 58 | |
| 4 | 2009 | 45 | |
| 5 | 2008 | 40 | |
| 6 | 2001 | 19 | |
| 7 | 1995 | 15 | |
| 8 | 2001 | 12 | |
| 9 | 2000 | 10 | |
| 10 | 2002 | 8 |
About Eric Derby
Eric Derby is a scholar working on Molecular Biology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 514 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Pluripotent Stem Cells Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Immunotherapy and Immune Responses (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Developmental Neuroscience (53 citations), Immunology (169 citations), Cellular and Molecular Neuroscience (71 citations), Molecular Biology (227 citations) and Immunology and Allergy (16 citations). Eric Derby has collaborated with scholars based in United States. Frequent co-authors include Wu Ma, Mahendra S. Rao, Mark P. Mattson, Anatoli Malyguine, Michael Baseler, Thomas J. Sayers, Susan Strobl, Kimberly Shafer-Weaver, Edward L. Nelson and William Kopp. Their work appears in journals such as Immunology Letters, Biological Psychiatry, International Immunology, Cytokine and The Journal of Immunology.
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.