Ken L. Chambliss

4.9k citations
51 papers · 4.2k · h-index 33

Impact in

Papers in

    • Estrogen and related hormone effects 21
    • Plant biochemistry and biosynthesis 6
    • Protein Kinase Regulation and GTPase Signaling 5
    • Receptor Mechanisms and Signaling 4

Ken L. Chambliss

51 papers receiving 4.1k citations

Peers

Ken L. Chambliss
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 964
  • Genetics 1.5k
  • Clinical Biochemistry 178
  • Cancer Research 322
  • Molecular Biology 1.5k
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Citations per year

Countries citing papers authored by Ken L. Chambliss

Since Specialization
Citations

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

Fields of papers citing papers by Ken L. Chambliss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken L. Chambliss. 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 Ken L. Chambliss. The network helps show where Ken L. Chambliss may publish in the future.

Co-authors

The 25 scholars most cited alongside Ken L. Chambliss, 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 Ken L. Chambliss Line = papers co-authored together Ken L. Chambliss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002481
2 2000371
3 2019273
4 2001255
5 2005248
6 2002236
7 2010220
8 2007126
9 2002114
10 1997105
11 2008104
12 201792
13 201187
14 200281
15 201677
16 200276
17 199568
18 199868
19 200267
20 200460

About Ken L. Chambliss

Ken L. Chambliss is a scholar working on Genetics, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 51 papers that have together received 4.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Nitric Oxide and Endothelin Effects (7 papers), Plant biochemistry and biosynthesis (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Inflammatory mediators and NSAID effects (5 papers), Caveolin-1 and cellular processes (5 papers), Receptor Mechanisms and Signaling (4 papers) and Menopause: Health Impacts and Treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (964 citations), Genetics (1.5k citations), Clinical Biochemistry (178 citations), Cancer Research (322 citations) and Molecular Biology (1.5k citations). Ken L. Chambliss has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Philip W. Shaul, Chieko Mineo, Ivan S. Yuhanna, Michael E. Mendelsohn, K. Michael Gibson, Richard G.W. Anderson, Zohre German, Linda L. Gibson, Todd S. Sherman and Susanne M. Mumby. Their work appears in journals such as Circulation Research, Molecular Endocrinology, Journal of Biological Chemistry, Endocrinology and Journal of Inherited Metabolic Disease.

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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