William G. Paxton

2.3k total citations · 1 hit paper
13 papers, 1.6k citations indexed

About

William G. Paxton is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, William G. Paxton has authored 13 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in William G. Paxton's work include Renin-Angiotensin System Studies (11 papers), Receptor Mechanisms and Signaling (7 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). William G. Paxton is often cited by papers focused on Renin-Angiotensin System Studies (11 papers), Receptor Mechanisms and Signaling (7 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). William G. Paxton collaborates with scholars based in United States, Italy and Germany. William G. Paxton's co-authors include Kenneth E. Bernstein, Mario B. Marrero, Bradford C. Berk, Patrice Delafontaine, Bernhard Schieffer, Bernhard Schieffer, Jennifer L. Duff, Elisabeth Schieffer, Qing Chai and C. M. S. Cohen and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

William G. Paxton

13 papers receiving 1.6k citations

Hit Papers

Direct stimulation of Jak/STAT pathway by the angiotensin... 1995 2026 2005 2015 1995 200 400 600

Peers

William G. Paxton
Comparison fields: 5 of 78
  • Molecular Biology 1.0k
  • Cardiology and Cardiovascular Medicine 724
  • Oncology 353
  • Endocrinology, Diabetes and Metabolism 335
  • Physiology 175
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Citations per field, relative to William G. Paxton
William G. Paxton · 1×
Citations per year, relative to William G. Paxton
William G. Paxton · 1×

Countries citing papers authored by William G. Paxton

Since Specialization
Citations

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

Fields of papers citing papers by William G. Paxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Paxton. 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 William G. Paxton. The network helps show where William G. Paxton may publish in the future.

Co-authorship network of co-authors of William G. Paxton

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Paxton. A scholar is included among the top collaborators of William G. Paxton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William G. Paxton. William G. Paxton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 23
2 2
3 128
4 42
5 51
6
Direct stimulation of Jak/STAT pathway by the angiotensin II AT1 receptor breakdown →
634
7 152
8 33
9 84
10 66
11 185
12 77
13 132

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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