Travis Lear
Impact in
-
- interferon and immune responses
- Immune Response and Inflammation
-
- Inflammasome and immune disorders
- Ubiquitin and proteasome pathways
- Mitochondrial Function and Pathology
- Heme Oxygenase-1 and Carbon Monoxide
Papers in
-
- Ubiquitin and proteasome pathways 11
- Cell death mechanisms and regulation 3
- Immunology 11
- Immune Response and Inflammation 5
- Immunotherapy and Immune Responses 4
- interferon and immune responses 3
- Co-authors
- Bill B. Chen (26 shared papers)Shristi Rajbhandari (7 shared papers)Rama K. Mallampalli (7 shared papers)Yuan Liu (17 shared papers)Jacob A. Jerome (3 shared papers)Chunbin Zou (3 shared papers)John Evankovich (14 shared papers)SeungHye Han (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)JCI Insight (3 papers)The FASEB Journal (2 papers)FEBS Journal (2 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Travis Lear
29 papers receiving 713 citations
Peers
Comparison fields: 5 of 84
- Immunology 215
- Molecular Biology 476
- Cancer Research 64
- Nephrology 26
- Clinical Biochemistry 23
Countries citing papers authored by Travis Lear
This map shows the geographic impact of Travis Lear'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 Travis Lear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Lear more than expected).
Fields of papers citing papers by Travis Lear
This network shows the impact of papers produced by Travis Lear. 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 Travis Lear. The network helps show where Travis Lear may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis Lear, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 161 | |
| 2 | 2021 | 58 | |
| 3 | 2015 | 57 | |
| 4 | 2020 | 46 | |
| 5 | 2014 | 42 | |
| 6 | 2015 | 35 | |
| 7 | 2015 | 34 | |
| 8 | 2016 | 30 | |
| 9 | 2021 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2017 | 23 | |
| 12 | 2020 | 20 | |
| 13 | 2016 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2014 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2017 | 16 | |
| 18 | 2019 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2019 | 10 |
About Travis Lear
Travis Lear is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 29 papers that have together received 722 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (11 papers), Immune Response and Inflammation (5 papers), Immunotherapy and Immune Responses (4 papers), Autophagy in Disease and Therapy (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), interferon and immune responses (3 papers), Cell death mechanisms and regulation (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Immunology (215 citations), Molecular Biology (476 citations), Cancer Research (64 citations), Nephrology (26 citations) and Clinical Biochemistry (23 citations). Travis Lear has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Bill B. Chen, Shristi Rajbhandari, Rama K. Mallampalli, Yuan Liu, Jacob A. Jerome, Chunbin Zou, John Evankovich, SeungHye Han, Dexter L. Gulick and Kevin F. Gibson. Their work appears in journals such as Journal of Biological Chemistry, JCI Insight, The FASEB Journal, FEBS Journal and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.