Janet L. Maryanski
- Immunology top 0.5%
- Immunotherapy and Immune Responses 41
- T-cell and B-cell Immunology 36
- Immune Cell Function and Interaction 27
- Virology top 2%
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- Monoclonal and Polyclonal Antibodies Research 27
- Oncology top 5%
- CAR-T cell therapy research 6
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- Malaria Research and Control 5
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- vaccines and immunoinformatics approaches 13
- Glycosylation and Glycoproteins Research 3
- Co-authors
- Pedro RomeroJean‐Laurent CasanovaGiampietro CorradinThierry BoonH. Robson MacDonaldJean‐Charles CerottiniFidel ZavalaRuth S. Nussenzweig
- Partner nations
- SwitzerlandFranceBelgium
In The Last Decade
Janet L. Maryanski
70 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 92
- Immunology 3.1k
- Virology 237
- Radiology, Nuclear Medicine and Imaging 691
- Oncology 659
- Public Health, Environmental and Occupational Health 565
Countries citing papers authored by Janet L. Maryanski
This map shows the geographic impact of Janet L. Maryanski'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 Janet L. Maryanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet L. Maryanski more than expected).
Fields of papers citing papers by Janet L. Maryanski
This network shows the impact of papers produced by Janet L. Maryanski. 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 Janet L. Maryanski. The network helps show where Janet L. Maryanski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Janet L. Maryanski, 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 | 2004 | 203 | |
| 2 | 1996 | 22 | |
| 3 | 1995 | 66 | |
| 4 | 1993 | 22 | |
| 5 | 1993 | 7 | |
| 6 | 1993 | 71 | |
| 7 | 1993 | 95 | |
| 8 | 1992 | 13 | |
| 9 | 1992 | 85 | |
| 10 | 1991 | 9 | |
| 11 | 1991 | 283 | |
| 12 | 1991 | 127 | |
| 13 | 1991 | 53 | |
| 14 | 1990 | 33 | |
| 15 | 1989 | 8 | |
| 16 | 1989 | 435 | |
| 17 | 1988 | 17 | |
| 18 | 1988 | 92 | |
| 19 | 1988 | 34 | |
| 20 | 1983 | 204 |
About Janet L. Maryanski
Janet L. Maryanski is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Virology, having authored 71 papers that have together received 4.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (41 papers), T-cell and B-cell Immunology (36 papers), Immune Cell Function and Interaction (27 papers), Monoclonal and Polyclonal Antibodies Research (27 papers), vaccines and immunoinformatics approaches (13 papers), CAR-T cell therapy research (6 papers), Malaria Research and Control (5 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (3.1k citations), Virology (237 citations) and Radiology, Nuclear Medicine and Imaging (691 citations). Janet L. Maryanski has collaborated with scholars based in Switzerland, France and Belgium. Frequent co-authors include Pedro Romero, Jean‐Laurent Casanova, Giampietro Corradin, Thierry Boon, H. Robson MacDonald, Jean‐Charles Cerottini, Fidel Zavala, Ruth S. Nussenzweig, Christian Widmann and Pietro Pala. Their work appears in journals such as Nature, Cell 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.