Ann V. Griffith
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Immunology 11
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
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- Single-cell and spatial transcriptomics 2
- Co-authors
- Howard T. Petrie (4 shared papers)Thomas Venables (7 shared papers)Mohammad Fallahi (3 shared papers)Hiroshi Nakase (1 shared paper)Mark Gosink (1 shared paper)Brandon Young (1 shared paper)Yangming Xiao (5 shared papers)Ellen R. Richie (3 shared papers)
- Journals
- Cell Reports (3 papers)Frontiers in Immunology (2 papers)The Journal of Immunology (2 papers)Nature Communications (1 paper)Aging Cell (1 paper)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Ann V. Griffith
15 papers receiving 466 citations
Peers
Comparison fields: 5 of 68
- Immunology 249
- Aging 18
- Endocrine and Autonomic Systems 49
- Endocrinology, Diabetes and Metabolism 55
- Oncology 69
Countries citing papers authored by Ann V. Griffith
This map shows the geographic impact of Ann V. Griffith'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 Ann V. Griffith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann V. Griffith more than expected).
Fields of papers citing papers by Ann V. Griffith
This network shows the impact of papers produced by Ann V. Griffith. 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 Ann V. Griffith. The network helps show where Ann V. Griffith may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann V. Griffith, 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 | 2011 | 97 | |
| 2 | 2009 | 67 | |
| 3 | 2015 | 60 | |
| 4 | 2018 | 56 | |
| 5 | 2019 | 51 | |
| 6 | 2017 | 42 | |
| 7 | 2008 | 39 | |
| 8 | 2013 | 21 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 8 | |
| 12 | 2025 | 2 | |
| 13 | 2006 | 2 | |
| 14 | 2017 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2025 | 0 |
About Ann V. Griffith
Ann V. Griffith is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Surgery, having authored 16 papers that have together received 472 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (3 papers), Circadian rhythm and melatonin (2 papers), Diabetes and associated disorders (2 papers), Lymphatic System and Diseases (2 papers), Single-cell and spatial transcriptomics (2 papers) and Adrenal Hormones and Disorders (2 papers). The work is most often cited by research in Immunology (249 citations), Aging (18 citations), Endocrine and Autonomic Systems (49 citations), Endocrinology, Diabetes and Metabolism (55 citations) and Oncology (69 citations). Ann V. Griffith has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Howard T. Petrie, Thomas Venables, Mohammad Fallahi, Hiroshi Nakase, Mark Gosink, Brandon Young, Yangming Xiao, Ellen R. Richie, Andrew G. Farr and Luke I. Szweda. Their work appears in journals such as Cell Reports, Frontiers in Immunology, The Journal of Immunology, Nature Communications and Aging 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.