Jennifer L. Taylor
- Immunology top 5%
- Immunotherapy and Immune Responses 18
- Immune Cell Function and Interaction 7
- interferon and immune responses 5
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 10
- Oncology top 5%
- CAR-T cell therapy research 11
- Cancer Immunotherapy and Biomarkers 10
- Parasitology top 5%
- Epidemiology top 5%
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- Heart Rate Variability and Autonomic Control 6
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- Ovarian cancer diagnosis and treatment 6
- Co-authors
- Walter J. StorkusManoj ChelvanambiAndrew D. M. DobsonSarah RandolphScott M. PalmerRandall J. BasarabaIan M. OrmeRonald J. Fecek
- Journals
- Infection and Immunity (5 papers)Magnetic Resonance in Medicine (3 papers)Frontiers in Immunology (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jennifer L. Taylor
74 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 130
- Immunology 779
- Infectious Diseases 515
- Oncology 590
- Parasitology 134
- Epidemiology 547
Countries citing papers authored by Jennifer L. Taylor
This map shows the geographic impact of Jennifer L. Taylor'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 Jennifer L. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer L. Taylor more than expected).
Fields of papers citing papers by Jennifer L. Taylor
This network shows the impact of papers produced by Jennifer L. Taylor. 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 Jennifer L. Taylor. The network helps show where Jennifer L. Taylor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer L. Taylor, 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 | 2024 | 3 | |
| 2 | 2021 | 8 | |
| 3 | 2019 | 21 | |
| 4 | 2017 | 2 | |
| 5 | 2016 | 1 | |
| 6 | 2015 | 37 | |
| 7 | 2015 | 51 | |
| 8 | 2014 | 19 | |
| 9 | 2014 | 17 | |
| 10 | 2013 | 27 | |
| 11 | 2013 | 30 | |
| 12 | 2012 | 8 | |
| 13 | 2011 | 17 | |
| 14 | 2009 | 30 | |
| 15 | 2008 | 23 | |
| 16 | 2008 | 4 | |
| 17 | 2003 | 36 | |
| 18 | 1999 | 40 | |
| 19 | 1997 | 25 | |
| 20 | 1982 | 2 |
About Jennifer L. Taylor
Jennifer L. Taylor is a scholar working on Microbiology, Immunology, Oncology, Reproductive Medicine and Infectious Diseases, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (18 papers), CAR-T cell therapy research (11 papers), Tuberculosis Research and Epidemiology (10 papers), Cancer Immunotherapy and Biomarkers (10 papers), Immune Cell Function and Interaction (7 papers), Heart Rate Variability and Autonomic Control (6 papers), Ovarian cancer diagnosis and treatment (6 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Immunology (779 citations), Infectious Diseases (515 citations), Oncology (590 citations), Parasitology (134 citations) and Epidemiology (547 citations). Jennifer L. Taylor has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Walter J. Storkus, Manoj Chelvanambi, Andrew D. M. Dobson, Sarah Randolph, Scott M. Palmer, Randall J. Basaraba, Ian M. Orme, Ronald J. Fecek, Angelo Izzo and Michael J. Joyner. Their work appears in journals such as Infection and Immunity, Magnetic Resonance in Medicine, Frontiers in Immunology, The Journal of Immunology and Journal of Applied Physiology.
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.