Greg A. Timblin
Impact in
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- Immune cells in cancer
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- CRISPR and Genetic Engineering 1
- Advanced biosensing and bioanalysis techniques 1
- FOXO transcription factor regulation 1
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Co-authors
- Kaoru Saijo (4 shared papers)Clive Yik‐Sham Chung (1 shared paper)Christopher J. Chang (1 shared paper)Mark S. Schlissel (4 shared papers)Kevin M. Tharp (4 shared papers)Johanna ten Hoeve (2 shared papers)Andreas Stahl (3 shared papers)Kwan T. Chow (1 shared paper)
- Journals
- iScience (1 paper)Cell Metabolism (1 paper)The EMBO Journal (1 paper)Journal of the American Chemical Society (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Greg A. Timblin
10 papers receiving 409 citations
Greg A. Timblin's Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 127
- Biochemistry 33
- Aging 6
- Cell Biology 48
- Cancer Research 38
Countries citing papers authored by Greg A. Timblin
This map shows the geographic impact of Greg A. Timblin'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 Greg A. Timblin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg A. Timblin more than expected).
Fields of papers citing papers by Greg A. Timblin
This network shows the impact of papers produced by Greg A. Timblin. 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 Greg A. Timblin. The network helps show where Greg A. Timblin may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg A. Timblin, 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 | Tumor-associated macrophages restrict CD8+ T cell function through collagen deposition and metabolic reprogramming of the breast cancer microenvironment Hit paper breakdown → | 2024 | 119 |
| 2 | 2018 | 95 | |
| 3 | 2018 | 62 | |
| 4 | 2021 | 60 | |
| 5 | 2013 | 30 | |
| 6 | 2013 | 22 | |
| 7 | 2015 | 8 | |
| 8 | 2017 | 8 | |
| 9 | 2024 | 5 | |
| 10 | 2006 | 2 | |
| 11 | 2025 | 0 |
About Greg A. Timblin
Greg A. Timblin is a scholar working on Molecular Biology, Immunology, Oncology, Physiology and Biochemistry, having authored 11 papers that have together received 411 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Adipose Tissue and Metabolism (2 papers), CRISPR and Genetic Engineering (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), FOXO transcription factor regulation (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Immunology (127 citations), Biochemistry (33 citations), Aging (6 citations), Cell Biology (48 citations) and Cancer Research (38 citations). Greg A. Timblin has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Kaoru Saijo, Clive Yik‐Sham Chung, Christopher J. Chang, Mark S. Schlissel, Kevin M. Tharp, Johanna ten Hoeve, Andreas Stahl, Kwan T. Chow, Sarah M. McWhirter and Alexis J. Combes. Their work appears in journals such as iScience, Cell Metabolism, The EMBO Journal, Journal of the American Chemical Society and The Journal of Immunology.
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.