J. J. Chart

864 citations
30 papers · 571 · h-index 13

Impact in

Papers in

J. J. Chart

27 papers receiving 431 citations

Peers

J. J. Chart
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 242
  • Behavioral Neuroscience 32
  • Pharmacology 51
  • Biochemistry 35
  • Pharmacology 59
Replace Morris L. Givner with:
Morris L. Givner Canada
Andrew M. Nemeth United States
Julia Banks United States
Duke A. Vaughn United States
A. A. H. Kassenaar Netherlands
Max‐Fernand Jayle France
O Crépy France
A. G. Gornall Canada
K. J. Catt Australia
E. Ferguson United States
J. J. Chart relative to Morris L. Givner Canada Morris L. Givner's profile →
Citations per field
00.5×
Morris L. Givner · 1×
Citations per year

Countries citing papers authored by J. J. Chart

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Chart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside J. J. Chart, 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 J. J. Chart Line = papers co-authored together J. J. Chart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1958101
2 195980
3 198356
4 195553
5 195133
6 196831
7 195630
8 196225
9 195923
10 196120
11 197016
12 195716
13 196515
14 19679
15 19629
16 19738
17 19647
18 19757
19 19565
20 19565

About J. J. Chart

J. J. Chart is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Pulmonary and Respiratory Medicine, Molecular Biology and Biochemistry, having authored 30 papers that have together received 571 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (13 papers), Hormonal and reproductive studies (8 papers), Estrogen and related hormone effects (7 papers), Electrolyte and hormonal disorders (6 papers), Adrenal Hormones and Disorders (6 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Steroid Chemistry and Biochemistry (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (242 citations), Behavioral Neuroscience (32 citations), Pharmacology (51 citations), Biochemistry (35 citations) and Pharmacology (59 citations). J. J. Chart has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Herbert Sheppard, Robert Gaunt, A. A. Renzi, Richard A. Gaunt, Bernard G. Steinetz, W. L. Bencze, Edgar Gordon, Elva G. Shipley, Claudio Colombo and Murray R. Selwyn. Their work appears in journals such as Experimental Biology and Medicine, Endocrinology, Cellular and Molecular Life Sciences, Journal of Medicinal Chemistry and Clinical Pharmacology & Therapeutics.

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.

Explore authors with similar magnitude of impact