James Connor

2.5k citations
86 papers · 2.0k · h-index 25

Impact in

Papers in

James Connor

84 papers receiving 1.9k citations

Peers

James Connor
Comparison fields: 5 of 142
  • Endocrinology, Diabetes and Metabolism 337
  • Pediatrics, Perinatology and Child Health 284
  • Obstetrics and Gynecology 109
  • Gender Studies 148
  • Applied Psychology 67
Replace Kenneth E. Clark with:
Kenneth E. Clark United States
Joann Norma Bodurtha United States
Mary C. Martin United States
François Rousseau Canada
Steve F. Fraser Australia
David J. Phillips United States
Anneke Lucassen United Kingdom
Christine Linda Cook United States
Robert D. Nachtigall United States
Hsiao‐Lin Hwa Taiwan
James Connor relative to Kenneth E. Clark United States Kenneth E. Clark's profile →
Citations per field
00.5×2×3×3.6×
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Citations per year

Countries citing papers authored by James Connor

Since Specialization
Citations

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

Fields of papers citing papers by James Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993206
2 1997113
3 1994109
4 1994107
5 199971
6 198568
7 199868
8 199963
9 200062
10 201356
11 199353
12 199852
13 201051
14 199947
15 201346
16 201041
17 199241
18
Genetic variation at fibrinogen loci and plasma fibrinogen levels.
199240
19 198739
20 201337

About James Connor

James Connor is a scholar working on Gender Studies, Sociology and Political Science, Pediatrics, Perinatology and Child Health, Genetics and Cancer Research, having authored 86 papers that have together received 2.0k indexed citations. Recurring topics across this work include Doping in Sports (11 papers), Sport and Mega-Event Impacts (8 papers), Sports, Gender, and Society (8 papers), Renin-Angiotensin System Studies (5 papers), Sports Analytics and Performance (4 papers), Prenatal Screening and Diagnostics (4 papers), Gender, Security, and Conflict (4 papers) and Gender Roles and Identity Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (337 citations), Pediatrics, Perinatology and Child Health (284 citations), Obstetrics and Gynecology (109 citations), Gender Studies (148 citations) and Applied Psychology (67 citations). James Connor has collaborated with scholars based in Australia, United Kingdom and Hungary. Frequent co-authors include Jason Mazanov, Malcolm Andrew Ferguson-Smith, W. George Lanyon, M.E. Jamieson, Stephen B. Harrap, J.R.T. Coutts, Florent Soubrier, F. Gerald R. Fowkes, Pierre Corvol and H. Rosemarie Davidson. Their work appears in journals such as Sport in Society, Human Genetics, Hypertension, Human Molecular Genetics and Gender Work and Organization.

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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