Travis Keating

764 citations
6 papers · 415 · h-index 5

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 1
    • RNA Interference and Gene Delivery 1
    • Estrogen and related hormone effects 2
    • Animal Genetics and Reproduction 1

Travis Keating

6 papers receiving 402 citations

Peers

Travis Keating
Comparison fields: 5 of 61
  • Geriatrics and Gerontology 90
  • Immunology and Allergy 68
  • Endocrinology, Diabetes and Metabolism 103
  • Oncology 82
  • Molecular Biology 195
Replace Daniel Margerie with:
Daniel Margerie Germany
Bryan M. Gillard United States
Ya-Hui Huang Taiwan
Juhyung Woo United States
Abdullah Ekmekçi Türkiye
Elizabeth L. Ostler United Kingdom
A E Hornby United States
Liyan Pang United States
Kae Fukuyama Japan
Ya-Nan Shu China
Travis Keating relative to Daniel Margerie Germany Daniel Margerie's profile →
Citations per field
00.5×4.9×
Daniel Margerie · 1×
Citations per year

Countries citing papers authored by Travis Keating

Since Specialization
Citations

This map shows the geographic impact of Travis Keating'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 Keating with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Keating more than expected).

Fields of papers citing papers by Travis Keating

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis Keating. 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 Keating. The network helps show where Travis Keating may publish in the future.

Co-authors

The 23 scholars most cited alongside Travis Keating, 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 Travis Keating Line = papers co-authored together Travis Keating links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2006144
2 2006131
3 2007111
4 198522
5 20066
6 20091

About Travis Keating

Travis Keating is a scholar working on Molecular Biology, Genetics, Nephrology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 6 papers that have together received 415 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Animal Genetics and Reproduction (1 paper), Magnesium in Health and Disease (1 paper), Inflammatory mediators and NSAID effects (1 paper), Retinoids in leukemia and cellular processes (1 paper), RNA Interference and Gene Delivery (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Geriatrics and Gerontology (90 citations), Immunology and Allergy (68 citations), Endocrinology, Diabetes and Metabolism (103 citations), Oncology (82 citations) and Molecular Biology (195 citations). Travis Keating has collaborated with scholars based in United States, China and France. Frequent co-authors include Paul J. Davis, Faith B. Davis, Ai Shih, Hung‐Yun Lin, Aleck Hercbergs, Lawrence Lansing, Heng‐Yuan Tang, Shaker A. Mousa, Robert A. Fenstermaker and Hsin‐Yao Tang. Their work appears in journals such as The FASEB Journal, Stem Cells and Development, American Journal of Obstetrics and Gynecology, Cancer Research and Carcinogenesis.

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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