Thomas Serwold
Impact in
- Aging top 1%
- Immunology top 1%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Immunology 26
- T-cell and B-cell Immunology 18
- Immune Cell Function and Interaction 17
- Immunotherapy and Immune Responses 16
- Aging 2
- Co-authors
- Nilabh ShastriIrving L. WeissmanMatthew A. InlaySusan R. SchwabRichard J. JacobFederico GonzãlezJennifer KimLauren I. R. Ehrlich
- Journals
- The Journal of Immunology (6 papers)Blood (4 papers)Immunity (3 papers)Proceedings of the National Academy of Sciences (3 papers)Nature (2 papers)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Thomas Serwold
36 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Aging 222
- Immunology 1.8k
- Hematology 449
- Molecular Biology 2.3k
- Rheumatology 362
Countries citing papers authored by Thomas Serwold
This map shows the geographic impact of Thomas Serwold'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 Thomas Serwold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Serwold more than expected).
Fields of papers citing papers by Thomas Serwold
This network shows the impact of papers produced by Thomas Serwold. 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 Thomas Serwold. The network helps show where Thomas Serwold may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Serwold, 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 | 2020 | 33 | |
| 2 | 2018 | 2 | |
| 3 | 2015 | 76 | |
| 4 | 2015 | 24 | |
| 5 | 2015 | 57 | |
| 6 | 2015 | 21 | |
| 7 | Restoring Systemic GDF11 Levels Reverses Age-Related Dysfunction in Mouse Skeletal Muscle Hit paper breakdown → | 2014 | 621 |
| 8 | 2014 | 47 | |
| 9 | Growth Differentiation Factor 11 Is a Circulating Factor that Reverses Age-Related Cardiac Hypertrophy Hit paper breakdown → | 2013 | 699 |
| 10 | 2013 | 53 | |
| 11 | Position-Dependent Silencing of Germline V beta Segments on TCR beta Alleles Containing Preassembled V beta DJ beta C beta 1 Genes | 2010 | 1 |
| 12 | Comprehensive methylome map of lineage commitment from haematopoietic progenitors Hit paper breakdown → | 2010 | 467 |
| 13 | 2009 | 222 | |
| 14 | 2008 | 108 | |
| 15 | 2005 | 91 | |
| 16 | 2001 | 152 | |
| 17 | 2000 | 42 | |
| 18 | 1999 | 23 | |
| 19 | 1998 | 13 | |
| 20 | 1997 | 20 |
About Thomas Serwold
Thomas Serwold is a scholar working on Immunology, Aging, Hematology, Molecular Biology and Biotechnology, having authored 36 papers that have together received 4.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (17 papers), Immunotherapy and Immune Responses (16 papers), vaccines and immunoinformatics approaches (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Pluripotent Stem Cells Research (4 papers), CAR-T cell therapy research (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Aging (222 citations), Immunology (1.8k citations), Hematology (449 citations), Molecular Biology (2.3k citations) and Rheumatology (362 citations). Thomas Serwold has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Nilabh Shastri, Irving L. Weissman, Matthew A. Inlay, Susan R. Schwab, Richard J. Jacob, Federico Gonzãlez, Jennifer Kim, Lauren I. R. Ehrlich, Amy J. Wagers and Jennifer L. Shadrach. Their work appears in journals such as The Journal of Immunology, Blood, Immunity, Proceedings of the National Academy of Sciences and Nature.
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.