Keith L. Hall

15 papers receiving 953 citations

Peers

Keith L. Hall
Comparison fields: 5 of 41
  • Cardiology and Cardiovascular Medicine 554
  • Cellular and Molecular Neuroscience 65
  • Endocrinology, Diabetes and Metabolism 40
  • Cell Biology 26
  • Endocrine and Autonomic Systems 6
Replace Guillermo Ávila with:
Guillermo Ávila Mexico
Simone Musco United States
Nikki M. Plaster United States
Koroboshka Brand‐Arzamendi Canada
Marcel Meissner Germany
Jose L. Sanchez‐Alonso United Kingdom
Ron F. Hrstka United States
Henri Marc Bécane France
Doreen Fialho United Kingdom
Jérôme Leroy France
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Citations per year

Countries citing papers authored by Keith L. Hall

Since Specialization
Citations

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

Fields of papers citing papers by Keith L. Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1992241
2 1992142
3 199397
4 199390
5 197781
6 199371
7 199569
8
Far upstream regulatory elements enhance position-independent and uterus-specific expression of the murine alpha1(I) collagen promoter in transgenic mice.
199954
9 199648
10 200239
11 197828
12 199125
13 19788
14
Correct cell- and differentiation-specific expression of a murine alpha 1 (I) collagen minigene in vitro differentiating embryonal carcinoma cells.
19965
15 19971

About Keith L. Hall

Keith L. Hall is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 15 papers that have together received 999 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (7 papers), Venomous Animal Envenomation and Studies (1 paper), Pluripotent Stem Cells Research (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Nerve injury and regeneration (1 paper), Genomics and Chromatin Dynamics (1 paper) and Proteoglycans and glycosaminoglycans research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (554 citations), Cellular and Molecular Neuroscience (65 citations), Endocrinology, Diabetes and Metabolism (40 citations), Cell Biology (26 citations) and Endocrine and Autonomic Systems (6 citations). Keith L. Hall has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Joseph W. Harding, Michael F. Sardinia, Jodie M. Hanesworth, John K.M. Coleman, J.M. Hanesworth, Jose R. Perez-Polo, John W. Wright, John W. Wright, Kenneth A. Livingston and Howard L. Hosick. Their work appears in journals such as Regulatory Peptides, Journal of Pharmacology and Experimental Therapeutics, Arteriosclerosis Thrombosis and Vascular Biology, Life Sciences and In Vitro Cellular & Developmental Biology - Animal.

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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