Janet Siebert
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cell Biology top 5%
- melanin and skin pigmentation
Papers in
-
- Gut microbiota and health 9
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 3
- Oncology 7
- Cancer Immunotherapy and Biomarkers 7
- Co-authors
- Edwin Walker (3 shared papers)Holden Terry Maecker (11 shared papers)Steven K. Seung (1 shared paper)Roxanne Payne (1 shared paper)Walter John Urba (1 shared paper)William L. Miller (1 shared paper)Todd S. Coffey (1 shared paper)Marka R. Crittenden (1 shared paper)
- Journals
- Journal of Translational Medicine (4 papers)PLoS ONE (3 papers)The Journal of Immunology (3 papers)BMC Bioinformatics (2 papers)Bioanalysis (2 papers)
- Partner nations
- United StatesUnited KingdomPeru
In The Last Decade
Janet Siebert
44 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 88
- Oncology 549
- Cell Biology 200
- Immunology 245
- Aging 11
- Genetics 153
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 347 | |
| 2 | 2012 | 266 | |
| 3 | 2016 | 260 | |
| 4 | 2015 | 85 | |
| 5 | 2019 | 54 | |
| 6 | 2021 | 52 | |
| 7 | 2010 | 45 | |
| 8 | 2021 | 44 | |
| 9 | 2007 | 42 | |
| 10 | 2018 | 41 | |
| 11 | 2016 | 29 | |
| 12 | 2010 | 28 | |
| 13 | 2009 | 26 | |
| 14 | 2007 | 24 | |
| 15 | 2017 | 23 | |
| 16 | 2011 | 21 | |
| 17 | 2016 | 21 | |
| 18 | 2017 | 20 | |
| 19 | 2010 | 17 | |
| 20 | 2022 | 16 |
About Janet Siebert
Janet Siebert is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Virology, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gut microbiota and health (9 papers), Cancer Immunotherapy and Biomarkers (7 papers), T-cell and B-cell Immunology (5 papers), HIV Research and Treatment (3 papers), Syphilis Diagnosis and Treatment (3 papers), Bioinformatics and Genomic Networks (3 papers), Diabetes and associated disorders (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Oncology (549 citations), Cell Biology (200 citations), Immunology (245 citations), Aging (11 citations) and Genetics (153 citations). Janet Siebert has collaborated with scholars based in United States, United Kingdom and Peru. Frequent co-authors include Edwin Walker, Holden Terry Maecker, Steven K. Seung, Roxanne Payne, Walter John Urba, William L. Miller, Todd S. Coffey, Marka R. Crittenden, Brendan D. Curti and Paula J. Kaplan‐Lefko. Their work appears in journals such as Journal of Translational Medicine, PLoS ONE, The Journal of Immunology, BMC Bioinformatics and Bioanalysis.
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.