Marc E. Weksler
- Immunology top 0.5%
- T-cell and B-cell Immunology 80
- Immune Cell Function and Interaction 61
- Immunotherapy and Immune Responses 36
- Immune Response and Inflammation 20
- Biological Psychiatry top 1%
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Aging top 2%
- Physiology top 1%
- Alzheimer's disease research and treatments 14
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- Monoclonal and Polyclonal Antibodies Research 22
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- Diabetes and associated disorders 11
- Co-authors
- Paul SzaboJ B InnesRobert W. KozakT. H. HütterothR. SchwabNorman RelkinCharles E. MoodyGregory W. Siskind
- Journals
- Cellular Immunology (22 papers)The Journal of Immunology (17 papers)The Journal of Experimental Medicine (14 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Marc E. Weksler
188 papers receiving 7.0k citations
Peers
Comparison fields: 5 of 130
- Immunology 4.0k
- Biological Psychiatry 306
- Neurology 719
- Aging 135
- Physiology 1.4k
Countries citing papers authored by Marc E. Weksler
This map shows the geographic impact of Marc E. Weksler'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 Marc E. Weksler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc E. Weksler more than expected).
Fields of papers citing papers by Marc E. Weksler
This network shows the impact of papers produced by Marc E. Weksler. 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 Marc E. Weksler. The network helps show where Marc E. Weksler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc E. Weksler, 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 | 2010 | 48 | |
| 2 | 2008 | 91 | |
| 3 | 2005 | 5 | |
| 4 | 2004 | 1 | |
| 5 | 2000 | 76 | |
| 6 | 1999 | 32 | |
| 7 | 1997 | 45 | |
| 8 | 1996 | 5 | |
| 9 | 1995 | 38 | |
| 10 | 1994 | 25 | |
| 11 | 1993 | 43 | |
| 12 | 1990 | 25 | |
| 13 | 1989 | 96 | |
| 14 | 1988 | 6 | |
| 15 | 1987 | 58 | |
| 16 | 1986 | 81 | |
| 17 | 1985 | 41 | |
| 18 | 1977 | 120 | |
| 19 | 1977 | 9 | |
| 20 | Lymphocyte transformation induced by autologous cells. III. Lymphoblast-induced lymphocyte to stimulation does not correlate with EB viral antigen expression or immunity. | 1976 | 21 |
About Marc E. Weksler
Marc E. Weksler is a scholar working on Immunology, Biological Psychiatry and Anatomy, having authored 191 papers that have together received 7.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (80 papers), Immune Cell Function and Interaction (61 papers), Immunotherapy and Immune Responses (36 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Immune Response and Inflammation (20 papers), Alzheimer's disease research and treatments (14 papers), Diabetes and associated disorders (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). The work is most often cited by research in Immunology (4.0k citations), Biological Psychiatry (306 citations) and Neurology (719 citations). Marc E. Weksler has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Paul Szabo, J B Innes, Robert W. Kozak, T. H. Hütteroth, R. Schwab, Norman Relkin, Charles E. Moody, Gregory W. Siskind, Marco Durante and Steven Gillis. Their work appears in journals such as Cellular Immunology, The Journal of Immunology, The Journal of Experimental Medicine, Journal of Clinical Investigation and Annals of the New York 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.