Jane Seagal
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Immunology 17
- T-cell and B-cell Immunology 13
- Immune Cell Function and Interaction 12
- Immunotherapy and Immune Responses 7
- Immunodeficiency and Autoimmune Disorders 2
- interferon and immune responses 1
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- Glycosylation and Glycoproteins Research 2
- Co-authors
- Klaus Rajewsky (8 shared papers)Zhenyue Hao (2 shared papers)Stefano Casola (2 shared papers)Ari Waisman (2 shared papers)Doron Melamed (5 shared papers)Yoshiteru Sasaki (2 shared papers)Baochun Zhang (2 shared papers)Nathalie Uyttersprot (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)The Journal of Experimental Medicine (2 papers)International Immunology (2 papers)Blood (1 paper)Immunology (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Jane Seagal
20 papers receiving 991 citations
Peers
Comparison fields: 5 of 92
- Immunology 644
- Pathology and Forensic Medicine 159
- Oncology 236
- Cancer Research 94
- Hepatology 44
Countries citing papers authored by Jane Seagal
This map shows the geographic impact of Jane Seagal'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 Jane Seagal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Seagal more than expected).
Fields of papers citing papers by Jane Seagal
This network shows the impact of papers produced by Jane Seagal. 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 Jane Seagal. The network helps show where Jane Seagal may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Seagal, 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 | 2006 | 169 | |
| 2 | 2008 | 154 | |
| 3 | 2010 | 142 | |
| 4 | 2007 | 105 | |
| 5 | 2007 | 93 | |
| 6 | 2019 | 65 | |
| 7 | 2022 | 63 | |
| 8 | 2001 | 53 | |
| 9 | 2003 | 37 | |
| 10 | 2019 | 30 | |
| 11 | 2009 | 24 | |
| 12 | 2003 | 14 | |
| 13 | 2002 | 11 | |
| 14 | 2011 | 9 | |
| 15 | 2004 | 8 | |
| 16 | 2004 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2001 | 3 | |
| 19 | 2003 | 3 | |
| 20 | 2017 | 1 |
About Jane Seagal
Jane Seagal is a scholar working on Immunology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 20 papers that have together received 995 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Glycosylation and Glycoproteins Research (2 papers), interferon and immune responses (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Immunology (644 citations), Pathology and Forensic Medicine (159 citations), Oncology (236 citations), Cancer Research (94 citations) and Hepatology (44 citations). Jane Seagal has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Klaus Rajewsky, Zhenyue Hao, Stefano Casola, Ari Waisman, Doron Melamed, Yoshiteru Sasaki, Baochun Zhang, Nathalie Uyttersprot, Angela Egert and Sergei B. Koralov. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, International Immunology, Blood and 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.