Joan P. Graves

3.1k total citations
57 papers, 2.6k citations indexed

About

Joan P. Graves is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Joan P. Graves has authored 57 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biochemistry, 23 papers in Endocrinology, Diabetes and Metabolism and 18 papers in Molecular Biology. Recurrent topics in Joan P. Graves's work include Eicosanoids and Hypertension Pharmacology (35 papers), Hormonal Regulation and Hypertension (21 papers) and Pharmacogenetics and Drug Metabolism (14 papers). Joan P. Graves is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (35 papers), Hormonal Regulation and Hypertension (21 papers) and Pharmacogenetics and Drug Metabolism (14 papers). Joan P. Graves collaborates with scholars based in United States, Australia and Canada. Joan P. Graves's co-authors include Darryl C. Zeldin, J. Alyce Bradbury, Laura M. DeGraff, Matthew L. Edin, Julie F. Foley, Michael A. Resnick, John M. Seubert, John R. Falck, Fred B. Lih and Natalya Kouprina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Joan P. Graves

55 papers receiving 2.5k citations

Peers

Joan P. Graves
Comparison fields: 5 of 106
  • Biochemistry 1.4k
  • Endocrinology, Diabetes and Metabolism 818
  • Molecular Biology 802
  • Pathology and Forensic Medicine 461
  • Pharmacology 452
Replace Karsten H. Weylandt with:
Karsten H. Weylandt Germany
Ion V. Deaciuc United States
Thierry Claudel Austria
Carol A. Casey United States
Kimihiko Matsusue Japan
Geoffrey F. Gibbons United Kingdom
Byoung‐Joon Song United States
Youqing Xiang United States
Víctor García United States
Terrence M. Donohue United States
Karsten H. Weylandt Germany View profile →
Citations per field, relative to Joan P. Graves
Joan P. Graves · 1×
Citations per year, relative to Joan P. Graves
Joan P. Graves · 1×

Countries citing papers authored by Joan P. Graves

Since Specialization
Citations

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

Fields of papers citing papers by Joan P. Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan P. Graves. 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 Joan P. Graves. The network helps show where Joan P. Graves may publish in the future.

Co-authorship network of co-authors of Joan P. Graves

This figure shows the co-authorship network connecting the top 25 collaborators of Joan P. Graves. A scholar is included among the top collaborators of Joan P. Graves 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 Joan P. Graves. Joan P. Graves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 4
3 2
4 22
5 20
6 61
7 132
8 15
9 13
10 34
11 34
12 54
13 62
14 19
15 100
16 49
17 30
18 16
19 20
20 27

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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