James R. McFarlane

3.9k total citations
119 papers, 3.0k citations indexed

About

James R. McFarlane is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, James R. McFarlane has authored 119 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 25 papers in Public Health, Environmental and Occupational Health and 22 papers in Physiology. Recurrent topics in James R. McFarlane's work include TGF-β signaling in diseases (25 papers), Reproductive Biology and Fertility (21 papers) and Regulation of Appetite and Obesity (17 papers). James R. McFarlane is often cited by papers focused on TGF-β signaling in diseases (25 papers), Reproductive Biology and Fertility (21 papers) and Regulation of Appetite and Obesity (17 papers). James R. McFarlane collaborates with scholars based in Australia, United States and United Kingdom. James R. McFarlane's co-authors include Neil A. Smart, Gudrun Dieberg, Kate Kauter, Christopher F. Sharpley, I. Caroline McMillen, Tim O’Shea, Muren Herrid, Hashbullah Ismail, David M. de Kretser and Nicole Hess and has published in prestigious journals such as The Journal of Physiology, The FASEB Journal and Journal of Cell Science.

In The Last Decade

James R. McFarlane

119 papers receiving 2.9k citations

Peers

James R. McFarlane
Comparison fields: 5 of 134
  • Molecular Biology 558
  • Reproductive Medicine 527
  • Public Health, Environmental and Occupational Health 521
  • Physiology 508
  • Cardiology and Cardiovascular Medicine 410
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V. Daniel Castracane United States View profile →
Citations per field, relative to James R. McFarlane
James R. McFarlane · 1×
Citations per year, relative to James R. McFarlane
James R. McFarlane · 1×

Countries citing papers authored by James R. McFarlane

Since Specialization
Citations

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

Fields of papers citing papers by James R. McFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James R. McFarlane

This figure shows the co-authorship network connecting the top 25 collaborators of James R. McFarlane. A scholar is included among the top collaborators of James R. McFarlane 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 James R. McFarlane. James R. McFarlane 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 12
2 17
3 2
4 10
5
Mechanism of action of a bioassay-guided aqueous fraction of Pterocarpus marsupium Roxb hardwood on glucose-dependent insulin secretion
1
6 53
7 38
8 13
9 48
10 127
11 25
12 24
13 31
14 40
15 17
16
Blowfly strike and wool growth. 2. Potential mediators of effects, other than anorexia.
1
17 15
18 3
19 4
20 3

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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