Meghan E. Turnis
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- 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 10
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 2
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- Mitochondrial Function and Pathology 2
- Signaling Pathways in Disease 1
- Co-authors
- Dario A.A. Vignali (5 shared papers)Lawrence P. Andrews (2 shared papers)Peter Vogel (4 shared papers)Greg M. Delgoffe (2 shared papers)Creg J. Workman (2 shared papers)David Finkelstein (3 shared papers)Cliff Guy (1 shared paper)David M. Gravano (1 shared paper)
- Journals
- Molecular Therapy (1 paper)Clinical Cancer Research (1 paper)Immunity (1 paper)Life Science Alliance (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesFranceRussia
In The Last Decade
Meghan E. Turnis
15 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 818
- Oncology 471
- Cancer Research 94
- Physiology 28
- Molecular Biology 375
Countries citing papers authored by Meghan E. Turnis
This map shows the geographic impact of Meghan E. Turnis'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 Meghan E. Turnis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meghan E. Turnis more than expected).
Fields of papers citing papers by Meghan E. Turnis
This network shows the impact of papers produced by Meghan E. Turnis. 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 Meghan E. Turnis. The network helps show where Meghan E. Turnis may publish in the future.
Co-authors
The 25 scholars most cited alongside Meghan E. Turnis, 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 | Stability and function of regulatory T cells is maintained by a neuropilin-1–semaphorin-4a axis Hit paper breakdown → | 2013 | 445 |
| 2 | 2016 | 243 | |
| 3 | 2018 | 242 | |
| 4 | 2015 | 119 | |
| 5 | 2010 | 57 | |
| 6 | 2017 | 25 | |
| 7 | 2010 | 25 | |
| 8 | 2024 | 23 | |
| 9 | 2012 | 17 | |
| 10 | 2010 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 12 | |
| 13 | 2013 | 10 | |
| 14 | 2008 | 4 | |
| 15 | 2024 | 1 |
About Meghan E. Turnis
Meghan E. Turnis is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Organic Chemistry, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), T-cell and B-cell Immunology (2 papers), Mitochondrial Function and Pathology (2 papers), Metabolism and Genetic Disorders (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Immunology (818 citations), Oncology (471 citations), Cancer Research (94 citations), Physiology (28 citations) and Molecular Biology (375 citations). Meghan E. Turnis has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Dario A.A. Vignali, Lawrence P. Andrews, Peter Vogel, Greg M. Delgoffe, Creg J. Workman, David Finkelstein, Cliff Guy, David M. Gravano, Matthew L. Bettini and Seng‐Ryong Woo. Their work appears in journals such as Molecular Therapy, Clinical Cancer Research, Immunity, Life Science Alliance and Molecular Cell.
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.