Kevin Gardner

99 papers receiving 3.5k citations

Peers

Kevin Gardner
Comparison fields: 5 of 134
  • Geriatrics and Gerontology 188
  • Cancer Research 592
  • Molecular Biology 2.1k
  • Immunology 549
  • Cell Biology 409
Replace Sang‐Gu Hwang with:
Sang‐Gu Hwang South Korea
Michael J. Ausserlechner Austria
Antonis S. Zervos United States
Ron Firestein United States
Yasunori Fujita Japan
Annamaria Biroccio Italy
Jiyong Liang United States
Deirdre A. Nelson United States
Thi Bui United States
Bangyan L. Stiles United States
Kevin Gardner relative to Sang‐Gu Hwang South Korea Sang‐Gu Hwang's profile →
Citations per field
00.5×1.5×1.9×
Sang‐Gu Hwang · 1×
Citations per year

Countries citing papers authored by Kevin Gardner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kevin Gardner Line = papers co-authored together Kevin Gardner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20237
3 20221
4 202113
5 202017
6 202021
7 202096
8 201875
9 201428
10 201060
11 200952
12 200716
13 200721
14
The role of the IGF system in T-lymphocyte activation
20070
15 200637
16 200219
17 200183
18 200122
19 20001
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.
199956

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.

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