John M. Marsh

85 papers receiving 2.5k citations

Peers

John M. Marsh
Comparison fields: 5 of 116
  • Reproductive Medicine 846
  • Agronomy and Crop Science 995
  • Endocrinology, Diabetes and Metabolism 472
  • Genetics 810
  • Public Health, Environmental and Occupational Health 714
Replace Sheryl T. Homa with:
Sheryl T. Homa United Kingdom
Juergen Seitz Germany
Brian K. Petroff United States
Katie J. Turner United Kingdom
Benjamin J. Danzo United States
J. Russo United States
DAVID S. MARSHALL United States
R. Hähnel Australia
Isabelle Gaillard France
G Adessi France
John M. Marsh relative to Sheryl T. Homa United Kingdom Sheryl T. Homa's profile →
Citations per field
00.5×5×11.8×
Sheryl T. Homa · 1×
Citations per year

Countries citing papers authored by John M. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by John M. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Marsh. 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 John M. Marsh. The network helps show where John M. Marsh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979213
2 1976199
3 1966164
4 1974158
5 1973130
6 1971112
7 197398
8 197098
9 197484
10 196682
11 197576
12 197568
13 197865
14 196464
15 198060
16 196259
17 197859
18 197354
19 200350
20 197448

About John M. Marsh

John M. Marsh is a scholar working on General Agricultural and Biological Sciences, Agronomy and Crop Science, Economics and Econometrics, Reproductive Medicine and General Economics, Econometrics and Finance, having authored 88 papers that have together received 2.9k indexed citations. Recurring topics across this work include Economics of Agriculture and Food Markets (27 papers), Agricultural Economics and Policy (26 papers), Reproductive Physiology in Livestock (22 papers), Estrogen and related hormone effects (16 papers), Global trade and economics (9 papers), Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (6 papers) and Reproductive System and Pregnancy (5 papers). The work is most often cited by research in Reproductive Medicine (846 citations), Agronomy and Crop Science (995 citations), Endocrinology, Diabetes and Metabolism (472 citations), Genetics (810 citations) and Public Health, Environmental and Occupational Health (714 citations). John M. Marsh has collaborated with scholars based in United States, Pakistan and Hungary. Frequent co-authors include William J. LeMaire, Kenneth Savard, Norman Yang, Cornelia P. Channing, William Sadler, Martin R. Clark, THOMAS M. MILLS, Gary W. Brester, Earl W. Sutherland and Reginald W. Butcher. Their work appears in journals such as Prostaglandins, Journal of Biological Chemistry, American Journal of Agricultural Economics, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

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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