Janet Siebert
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in ⓘ
- Immunology 16
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 5
- Co-authors
- Edwin Walker (3 shared papers)Holden T. Maecker (11 shared papers)William L. Miller (1 shared paper)Walter J. Urba (1 shared paper)Todd Coffey (1 shared paper)Brendan D. Curti (1 shared paper)Marka R. Crittenden (1 shared paper)Steven K. Seung (1 shared paper)
- Journals
- Journal of Translational Medicine (4 papers)The Journal of Immunology (3 papers)PLoS ONE (3 papers)BMC Bioinformatics (2 papers)Obesity (2 papers)
- Partner nations
- United StatesCroatiaSwitzerland
In The Last Decade
Janet Siebert
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Immunology 623
- Oncology 564
- Biological Psychiatry 22
- Transplantation 15
- Genetics 124
Countries citing papers authored by Janet Siebert
This map shows the geographic impact of Janet Siebert'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 Siebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Siebert more than expected).
Fields of papers citing papers by Janet Siebert
This network shows the impact of papers produced by Janet Siebert. 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 Siebert. The network helps show where Janet Siebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Janet Siebert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 302 | |
| 2 | 2012 | 246 | |
| 3 | 2015 | 76 | |
| 4 | 2019 | 43 | |
| 5 | 2010 | 42 | |
| 6 | 2021 | 41 | |
| 7 | 2021 | 41 | |
| 8 | 2007 | 38 | |
| 9 | 2018 | 35 | |
| 10 | 2016 | 26 | |
| 11 | 2010 | 25 | |
| 12 | 2009 | 24 | |
| 13 | 2007 | 22 | |
| 14 | 2011 | 21 | |
| 15 | 2016 | 20 | |
| 16 | 2017 | 17 | |
| 17 | 2010 | 16 | |
| 18 | 2017 | 16 | |
| 19 | 2022 | 13 | |
| 20 | 2021 | 11 |
About Janet Siebert
Janet Siebert is a scholar working on Biological Psychiatry, Immunology, Microbiology, Transplantation and Genetics, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gut microbiota and health (8 papers), T-cell and B-cell Immunology (7 papers), Diabetes and associated disorders (7 papers), Immune Cell Function and Interaction (7 papers), Single-cell and spatial transcriptomics (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (5 papers) and Reproductive tract infections research (4 papers). The work is most often cited by research in Immunology (623 citations), Oncology (564 citations), Biological Psychiatry (22 citations), Transplantation (15 citations) and Genetics (124 citations). Janet Siebert has collaborated with scholars based in United States, Croatia and Switzerland. Frequent co-authors include Edwin Walker, Holden T. Maecker, William L. Miller, Walter J. Urba, Todd Coffey, Brendan D. Curti, Marka R. Crittenden, Steven K. Seung, Roxanne Payne and John A. Glaspy. Their work appears in journals such as Journal of Translational Medicine, The Journal of Immunology, PLoS ONE, BMC Bioinformatics and Obesity.
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.