Andrew L. Doedens
- Immunology top 0.5%
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 2%
- Genetics top 5%
- Co-authors
- Randall S. JohnsonAnanda W. GoldrathChristian StockmannVictor NizetCarole PeyssonnauxStephen Μ. HedrickAnthony T. PhanAlexander Weidemann
- Topics
- Cancer, Hypoxia, and Metabolism (8 papers)Immune Cell Function and Interaction (8 papers)Immune cells in cancer (7 papers)
- Cited by
- ImmunologyCancer ResearchOncology
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Andrew L. Doedens
23 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 2.5k
- Molecular Biology 1.6k
- Cancer Research 1.4k
- Oncology 1.0k
- Genetics 382
Countries citing papers authored by Andrew L. Doedens
This map shows the geographic impact of Andrew L. Doedens'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 Andrew L. Doedens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew L. Doedens more than expected).
Fields of papers citing papers by Andrew L. Doedens
This network shows the impact of papers produced by Andrew L. Doedens. 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 Andrew L. Doedens. The network helps show where Andrew L. Doedens may publish in the future.
Co-authorship network of co-authors of Andrew L. Doedens
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew L. Doedens. A scholar is included among the top collaborators of Andrew L. Doedens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew L. Doedens. Andrew L. Doedens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 0 | |
| 3 | 24 | |
| 4 | 162 | |
| 5 | 326 | |
| 6 | Hypoxia-inducible factors enhance the effector responses of CD8+ T cells to persistent antigenbreakdown → | 503 |
| 7 | 236 | |
| 8 | 10 | |
| 9 | 255 | |
| 10 | Macrophage Expression of Hypoxia-Inducible Factor-1α Suppresses T-Cell Function and Promotes Tumor Progressionbreakdown → | 523 |
| 11 | Differential activation and antagonistic function of HIF-α isoforms in macrophages are essential for NO homeostasisbreakdown → | 501 |
| 12 | 365 | |
| 13 | 11 | |
| 14 | 400 | |
| 15 | HIF-1α expression regulates the bactericidal capacity of phagocytesbreakdown → | 566 |
| 16 | 42 | |
| 17 | 20 | |
| 18 | 36 | |
| 19 | 74 | |
| 20 | 2 |
About Andrew L. Doedens
Andrew L. Doedens is a scholar working on Aging, Immunology and Cancer Research, having authored 24 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Immune Cell Function and Interaction (8 papers) and Immune cells in cancer (7 papers). The work is most often cited by research in Immunology (2.5k citations), Cancer Research (1.4k citations) and Oncology (1.0k citations). Andrew L. Doedens has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Randall S. Johnson, Ananda W. Goldrath, Christian Stockmann, Victor Nizet, Carole Peyssonnaux, Stephen Μ. Hedrick, Anthony T. Phan, Alexander Weidemann, Norihiko Takeda and Rodrigo Hess Michelini. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.