Kevin Shenderov
- Immunology top 1%
- Molecular Biology top 5%
- Epidemiology top 2%
- Oncology top 10%
- Infectious Diseases top 5%
- Co-authors
- Alan SherLiang ZhouDan R. LittmanIvaylo I. IvanovTakeshi EgawaWarren J. LeonardDavid T. LevyRosanne Spolski
- Topics
- Immune Response and Inflammation (6 papers)Autophagy in Disease and Therapy (3 papers)Tuberculosis Research and Epidemiology (3 papers)
- Cited by
- ImmunologyEpidemiologyPhysiology
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Kevin Shenderov
17 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 2.4k
- Molecular Biology 1.4k
- Epidemiology 1.1k
- Oncology 427
- Infectious Diseases 426
Countries citing papers authored by Kevin Shenderov
This map shows the geographic impact of Kevin Shenderov'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 Kevin Shenderov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Shenderov more than expected).
Fields of papers citing papers by Kevin Shenderov
This network shows the impact of papers produced by Kevin Shenderov. 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 Kevin Shenderov. The network helps show where Kevin Shenderov may publish in the future.
Co-authorship network of co-authors of Kevin Shenderov
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Shenderov. A scholar is included among the top collaborators of Kevin Shenderov 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 Kevin Shenderov. Kevin Shenderov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Immune dysregulation as a driver of idiopathic pulmonary fibrosisbreakdown → | 191 |
| 3 | 33 | |
| 4 | 126 | |
| 5 | 34 | |
| 6 | 16 | |
| 7 | 135 | |
| 8 | 101 | |
| 9 | Activation of autophagy by inflammatory signals limits IL-1β production by targeting ubiquitinated inflammasomes for destructionbreakdown → | 1126 |
| 10 | 193 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 372 | |
| 14 | 82 | |
| 15 | Inflammasome-dependent IL-1 beta production is critical for complete Freund's adjuvant-induced helper T cell polarization | 1 |
| 16 | IL-6 programs TH-17 cell differentiation by promoting sequential engagement of the IL-21 and IL-23 pathwaysbreakdown → | 1721 |
| 17 | 16 |
About Kevin Shenderov
Kevin Shenderov is a scholar working on Immunology, Emergency Medical Services and Virology, having authored 17 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Autophagy in Disease and Therapy (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Immunology (2.4k citations), Epidemiology (1.1k citations) and Physiology (113 citations). Kevin Shenderov has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Alan Sher, Liang Zhou, Dan R. Littman, Ivaylo I. Ivanov, Takeshi Egawa, Warren J. Leonard, David T. Levy, Rosanne Spolski, Katherine A. Fitzgerald and John H. Kehrl. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Nature 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.