Kevin Gardner
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 5%
Papers in
-
- NF-κB Signaling Pathways 8
- Oncology 25
- Cancer-related Molecular Pathways 8
- Co-authors
- Vann BennettJung S. ByunAdriana De SierviCharles VinsonMichelle OliveElizabeth J. TaparowskyDmitry KrylovCynthia M. Haggerty
- Journals
- Journal of Biological Chemistry (14 papers)Cancer Research (6 papers)Journal of Clinical Oncology (4 papers)American Journal Of Pathology (4 papers)Cellular and Molecular Life Sciences (3 papers)
- Partner nations
- United StatesArgentinaUnited Kingdom
In The Last Decade
Kevin Gardner
99 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 134
- Geriatrics and Gerontology 188
- Cancer Research 592
- Molecular Biology 2.1k
- Immunology 549
- Cell Biology 409
Countries citing papers authored by Kevin Gardner
This map shows the geographic impact of Kevin Gardner'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 Gardner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Gardner more than expected).
Fields of papers citing papers by Kevin Gardner
This network shows the impact of papers produced by Kevin Gardner. 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 Gardner. The network helps show where Kevin Gardner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Gardner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 13 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 96 | |
| 8 | 2018 | 75 | |
| 9 | 2014 | 28 | |
| 10 | 2010 | 60 | |
| 11 | 2009 | 52 | |
| 12 | 2007 | 16 | |
| 13 | 2007 | 21 | |
| 14 | The role of the IGF system in T-lymphocyte activation | 2007 | 0 |
| 15 | 2006 | 37 | |
| 16 | 2002 | 19 | |
| 17 | 2001 | 83 | |
| 18 | 2001 | 22 | |
| 19 | 2000 | 1 | |
| 20 | Beta 1 integrin- and proteoglycan-mediated stimulation of T lymphoma cell adhesion and mitogen-activated protein kinase signaling by thrombospondin-1 and thrombospondin-1 peptides. | 1999 | 56 |
About Kevin Gardner
Kevin Gardner is a scholar working on Cancer Research, Oncology, Molecular Biology, Genetics and Virology, having authored 101 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Cancer-related Molecular Pathways (8 papers), NF-κB Signaling Pathways (8 papers), Cancer-related gene regulation (8 papers), RNA Research and Splicing (7 papers), BRCA gene mutations in cancer (6 papers), Erythrocyte Function and Pathophysiology (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Geriatrics and Gerontology (188 citations), Cancer Research (592 citations), Molecular Biology (2.1k citations), Immunology (549 citations) and Cell Biology (409 citations). Kevin Gardner has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Vann Bennett, Jung S. Byun, Adriana De Siervi, Charles Vinson, Michelle Olive, Elizabeth J. Taparowsky, Dmitry Krylov, Cynthia M. Haggerty, J P Steiner and Paola De Luca. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Journal of Clinical Oncology, American Journal Of Pathology and Cellular and Molecular Life 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.