Tim D. Holmes
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Reproductive System and Pregnancy
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
- Immunology 11
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 2
- IL-33, ST2, and ILC Pathways 1
- Immunotoxicology and immune responses 1
- T-cell and Retrovirus Studies 1
- Reproductive System and Pregnancy 1
- Co-authors
- Yenan T. Bryceson (4 shared papers)Graham P. Cook (6 shared papers)Karl‐Johan Malmberg (1 shared paper)Hans‐Gustaf Ljunggren (1 shared paper)Bianca Tesi (1 shared paper)Bree Foley (1 shared paper)Heinrich Schlums (1 shared paper)Stella Larsson (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Immunology (1 paper)Seminars in Immunology (1 paper)Frontiers in Immunology (1 paper)Immunity (1 paper)
- Partner nations
- United KingdomSwedenNorway
In The Last Decade
Tim D. Holmes
11 papers receiving 1.0k citations
Tim D. Holmes's Hit Papers
Peers
Comparison fields: 5 of 68
- Immunology 939
- Hematology 141
- Oncology 331
- Virology 39
- Epidemiology 150
Countries citing papers authored by Tim D. Holmes
This map shows the geographic impact of Tim D. Holmes'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 Tim D. Holmes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim D. Holmes more than expected).
Fields of papers citing papers by Tim D. Holmes
This network shows the impact of papers produced by Tim D. Holmes. 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 Tim D. Holmes. The network helps show where Tim D. Holmes may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim D. Holmes, 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 | Cytomegalovirus Infection Drives Adaptive Epigenetic Diversification of NK Cells with Altered Signaling and Effector Function Hit paper breakdown → | 2015 | 551 |
| 2 | 2007 | 264 | |
| 3 | 2014 | 57 | |
| 4 | 2018 | 46 | |
| 5 | 2010 | 46 | |
| 6 | 2016 | 22 | |
| 7 | 2014 | 22 | |
| 8 | 2009 | 18 | |
| 9 | 2017 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 2 |
About Tim D. Holmes
Tim D. Holmes is a scholar working on Immunology, Hematology, Genetics, Infectious Diseases and Oncology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (2 papers), Virus-based gene therapy research (2 papers), IL-33, ST2, and ILC Pathways (1 paper), Immunotoxicology and immune responses (1 paper), T-cell and Retrovirus Studies (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Immunology (939 citations), Hematology (141 citations), Oncology (331 citations), Virology (39 citations) and Epidemiology (150 citations). Tim D. Holmes has collaborated with scholars based in United Kingdom, Sweden and Norway. Frequent co-authors include Yenan T. Bryceson, Graham P. Cook, Karl‐Johan Malmberg, Hans‐Gustaf Ljunggren, Bianca Tesi, Bree Foley, Heinrich Schlums, Stella Larsson, Hongya Han and Frank Cichocki. Their work appears in journals such as The Journal of Immunology, Immunology, Seminars in Immunology, Frontiers in Immunology and Immunity.
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.