Larry M. Wahl
- Immunology top 0.5%
- Molecular Biology top 5%
- Cancer Research top 1%
- Epidemiology top 2%
- Oncology top 2%
- Co-authors
- Sharon M. WahlGeorge R. MartinStephan E. MergenhagenYunbiao LuAndrei E. MedvedevChristopher L. KarpStefanie N. VogelDiane E. Griffin
- Topics
- Immune Response and Inflammation (22 papers)Protease and Inhibitor Mechanisms (21 papers)Cell Adhesion Molecules Research (17 papers)
- Partner nations
- United StatesSlovakiaJapan
In The Last Decade
Larry M. Wahl
110 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Immunology 2.9k
- Molecular Biology 1.9k
- Cancer Research 1.1k
- Epidemiology 987
- Oncology 985
Countries citing papers authored by Larry M. Wahl
This map shows the geographic impact of Larry M. Wahl'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 Larry M. Wahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry M. Wahl more than expected).
Fields of papers citing papers by Larry M. Wahl
This network shows the impact of papers produced by Larry M. Wahl. 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 Larry M. Wahl. The network helps show where Larry M. Wahl may publish in the future.
Co-authorship network of co-authors of Larry M. Wahl
This figure shows the co-authorship network connecting the top 25 collaborators of Larry M. Wahl. A scholar is included among the top collaborators of Larry M. Wahl 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 Larry M. Wahl. Larry M. Wahl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | Reprogramming of TLR4 signaling in endotoxin tolerance: altered IRAK4 and TAK1 activation, K63-linked polyubiquitination and signalosome assembly of IRAK1, TRAF6, IKK{gamma} and increased A20 expression | 1 |
| 3 | 33 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 144 | |
| 7 | 133 | |
| 8 | 251 | |
| 9 | 71 | |
| 10 | 315 | |
| 11 | 13 | |
| 12 | 122 | |
| 13 | 6 | |
| 14 | 7 | |
| 15 | 42 | |
| 16 | 37 | |
| 17 | 16 | |
| 18 | 16 | |
| 19 | 13 | |
| 20 | Differential endotoxin sensitivity of lymphocytes and macrophages from mice with an X-linked defect in B cell maturation. | 29 |
About Larry M. Wahl
Larry M. Wahl is a scholar working on Immunology and Allergy, Virology and Immunology, having authored 111 papers that have together received 7.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (22 papers), Protease and Inhibitor Mechanisms (21 papers) and Cell Adhesion Molecules Research (17 papers). The work is most often cited by research in Immunology (2.9k citations), Virology (442 citations) and Immunology and Allergy (477 citations). Larry M. Wahl has collaborated with scholars based in United States, Slovakia and Japan. Frequent co-authors include Sharon M. Wahl, George R. Martin, Stephan E. Mergenhagen, Yunbiao Lu, Andrei E. Medvedev, Christopher L. Karp, Stefanie N. Vogel, Diane E. Griffin, Srisakul Kliks and Donald S. Burke. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.