Ann V. Griffith

613 citations
16 papers · 460 · h-index 10

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Aging top 10%

Papers in

    • T-cell and B-cell Immunology 10
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 3
    • Single-cell and spatial transcriptomics 2

Ann V. Griffith

15 papers receiving 454 citations

Peers

Ann V. Griffith
Comparison fields: 5 of 69
  • Immunology 250
  • Aging 20
  • Endocrine and Autonomic Systems 49
  • Endocrinology, Diabetes and Metabolism 52
  • Oncology 68
Replace Thomas Venables with:
Thomas Venables United States
Zhanfeng Liang China
Gergely Talabér Hungary
Shir Nevo Israel
Kun Zhu China
Novella Guidi United States
Luciana Rocha-Viegas Argentina
Elena De Angelis Italy
Katerina Vlahos Australia
Thomas Hochdörfer Germany
Ann V. Griffith relative to Thomas Venables United States Thomas Venables's profile →
Citations per field
00.5×2.9×
Thomas Venables · 1×
Citations per year

Countries citing papers authored by Ann V. Griffith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ann V. Griffith Line = papers co-authored together Ann V. Griffith links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201195
2 200966
3 201558
4 201856
5 201949
6 201741
7 200839
8 201320
9 202212
10 202211
11 20218
12 20062
13 20251
14 20191
15 20171
16 20250

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 460 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), Single-cell and spatial transcriptomics (2 papers), Pancreatic function and diabetes (2 papers), Lymphatic System and Diseases (2 papers), Diabetes and associated disorders (2 papers) and Adrenal Hormones and Disorders (2 papers). The work is most often cited by research in Immunology (250 citations), Aging (20 citations), Endocrine and Autonomic Systems (49 citations), Endocrinology, Diabetes and Metabolism (52 citations) and Oncology (68 citations). Ann V. Griffith has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Howard T. Petrie, Thomas Venables, Mohammad Fallahi, Brandon Young, Mark Gosink, Hiroshi Nakase, Yangming Xiao, Ellen R. Richie, Nancy R. Manley and Holly Van Remmen. Their work appears in journals such as Cell Reports, The Journal of Immunology, Frontiers in Immunology, Molecular Carcinogenesis and Nature Communications.

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.

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