Dan R. Littman
- Immunology top 0.01%
- Molecular Biology top 0.02%
- Oncology top 0.05%
- Virology top 0.01%
- Infectious Diseases top 0.02%
- Co-authors
- Steffen JungIvaylo I. IvanovLiang ZhouKenya HondaMary Jean SunshineDerya UnutmazFrédéric GeissmannAndrew J. Macpherson
- Topics
- Immune Cell Function and Interaction (158 papers)T-cell and B-cell Immunology (146 papers)Immunotherapy and Immune Responses (76 papers)
- Cited by
- ImmunologyVirologyNeurology
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Dan R. Littman
342 papers receiving 97.1k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Immunology 56.0k
- Molecular Biology 30.6k
- Oncology 13.8k
- Virology 11.2k
- Infectious Diseases 10.1k
Countries citing papers authored by Dan R. Littman
This map shows the geographic impact of Dan R. Littman'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 Dan R. Littman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan R. Littman more than expected).
Fields of papers citing papers by Dan R. Littman
This network shows the impact of papers produced by Dan R. Littman. 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 Dan R. Littman. The network helps show where Dan R. Littman may publish in the future.
Co-authorship network of co-authors of Dan R. Littman
This figure shows the co-authorship network connecting the top 25 collaborators of Dan R. Littman. A scholar is included among the top collaborators of Dan R. Littman 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 Dan R. Littman. Dan R. Littman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 17 | |
| 3 | 36 | |
| 4 | The maternal interleukin-17a pathway in mice promotes autism-like phenotypes in offspringbreakdown → | 861 |
| 5 | 124 | |
| 6 | 133 | |
| 7 | 203 | |
| 8 | 260 | |
| 9 | 60 | |
| 10 | 29 | |
| 11 | CX 3 CR1-Mediated Dendritic Cell Access to the Intestinal Lumen and Bacterial Clearancebreakdown → | 1232 |
| 12 | A Clonogenic Bone Marrow Progenitor Specific for Macrophages and Dendritic Cellsbreakdown → | 756 |
| 13 | 107 | |
| 14 | 3 | |
| 15 | 155 | |
| 16 | 404 | |
| 17 | 371 | |
| 18 | 341 | |
| 19 | 17 | |
| 20 | 226 |
About Dan R. Littman
Dan R. Littman is a scholar working on Virology, Immunology and Immunology and Allergy, having authored 345 papers that have together received 98.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (158 papers), T-cell and B-cell Immunology (146 papers) and Immunotherapy and Immune Responses (76 papers). The work is most often cited by research in Immunology (56.0k citations), Virology (11.2k citations) and Neurology (8.3k citations). Dan R. Littman has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Steffen Jung, Ivaylo I. Ivanov, Liang Zhou, Kenya Honda, Mary Jean Sunshine, Derya Unutmaz, Frédéric Geissmann, Andrew J. Macpherson, Lora V. Hooper and Arthur Weiss. Their work appears in journals such as Nature, Science and Cell.
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.