John M. Marsh

3.4k total citations
84 papers, 2.6k citations indexed

About

John M. Marsh is a scholar working on Economics and Econometrics, General Agricultural and Biological Sciences and Agronomy and Crop Science. According to data from OpenAlex, John M. Marsh has authored 84 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Economics and Econometrics, 25 papers in General Agricultural and Biological Sciences and 22 papers in Agronomy and Crop Science. Recurrent topics in John M. Marsh's work include Economics of Agriculture and Food Markets (27 papers), Agricultural Economics and Policy (25 papers) and Reproductive Physiology in Livestock (22 papers). John M. Marsh is often cited by papers focused on Economics of Agriculture and Food Markets (27 papers), Agricultural Economics and Policy (25 papers) and Reproductive Physiology in Livestock (22 papers). John M. Marsh collaborates with scholars based in United States, Botswana and Hungary. John M. Marsh's co-authors include William J. LeMaire, Kenneth Savard, Norman Yang, Martin R. Clark, Cornelia P. Channing, W A Sadler, Thomas Mills, Gary W. Brester, Earl W. Sutherland and R.W. Butcher and has published in prestigious journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

John M. Marsh

83 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John M. Marsh United States 29 924 735 704 603 399 84 2.6k
Shyamal K. Roy United States 34 380 0.4× 1.0k 1.4× 658 0.9× 1.8k 2.9× 264 0.7× 101 3.0k
Michael J. Harper United States 20 144 0.2× 446 0.6× 429 0.6× 275 0.5× 96 0.2× 50 1.5k
Charles M. Allan Australia 31 54 0.1× 1.6k 2.2× 736 1.0× 1.1k 1.8× 601 1.5× 52 2.8k
Stanley R. Glasser United States 21 177 0.2× 347 0.5× 543 0.8× 240 0.4× 113 0.3× 39 1.6k
Dong Lin United States 28 62 0.1× 416 0.6× 784 1.1× 190 0.3× 1.1k 2.7× 55 3.6k
Gary W. Williams United States 29 29 0.0× 11 0.0× 260 0.4× 207 0.3× 97 0.2× 122 2.8k
Woojin Kang Japan 18 30 0.0× 205 0.3× 154 0.2× 192 0.3× 64 0.2× 62 1.4k
Rosalia C.M. Simmen United States 30 391 0.4× 384 0.5× 702 1.0× 355 0.6× 300 0.8× 81 2.4k
Hiromichi Matsumoto Japan 24 247 0.3× 1.1k 1.4× 404 0.6× 1.0k 1.7× 35 0.1× 72 2.4k
Katie J. Turner United Kingdom 26 34 0.0× 668 0.9× 707 1.0× 285 0.5× 292 0.7× 41 2.1k

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-authorship network of co-authors of John M. Marsh

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Marsh. A scholar is included among the top collaborators of John M. Marsh 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 John M. Marsh. John M. Marsh 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
1.
Marsh, John M., et al.. (2007). Cross-Sector Relationships Between the Corn Feed Grains and Livestock and Poultry Economies. SHILAP Revista de lepidopterología. 11 indexed citations
2.
Marsh, John M., et al.. (2006). Livestock Mandatory Price Reporting and Effects on Lamb Price Risk. Montana State University ScholarWorks (Montana State University). 1 indexed citations
3.
Brester, Gary W., et al.. (2003). International red meat trade. Veterinary Clinics of North America Food Animal Practice. 19(2). 493–518. 5 indexed citations
4.
Marsh, John M.. (2003). Impacts of Declining U.S. Retail Beef Demand on Farm‐Level Beef Prices and Production. American Journal of Agricultural Economics. 85(4). 902–913. 50 indexed citations
5.
Brester, Gary W., et al.. (2003). Do Protectionist Trade Policies Protect? The Unintended Consequences of an Antidumping Tariff. AgEcon Search (University of Minnesota, USA). 18(3). 1–4. 3 indexed citations
6.
Young, Linda M., et al.. (1997). Live Cattle Trade Between the United States and Canada: Effects of Canadian Slaughter Capacity and Health Regulations. AgEcon Search (University of Minnesota, USA). 5 indexed citations
7.
Marsh, John M.. (1988). The Effects of the Dairy Termination Program on Live Cattle and Wholesale Beef Prices. American Journal of Agricultural Economics. 70(4). 919–928. 7 indexed citations
8.
Marsh, John M.. (1985). Monthly Price Premiums and Discounts between Steer Calves and Yearlings. American Journal of Agricultural Economics. 67(2). 307–314. 27 indexed citations
9.
Brester, Gary W., et al.. (1983). A STATISTICAL MODEL OF THE PRIMARY AND DERIVED MARKET LEVELS IN THE U.S. BEEF INDUSTRY. Journal of agricultural and resource economics. 8(1). 34–49. 25 indexed citations
10.
Scanes, Colin G., Eddy Decuypere, & John M. Marsh. (1982). Plasma-concentrations of growth-hormone, thyroxine, and triodothyronine during growth in dwarf strains of chickens. Poultry Science. 61(7). 1539–1539. 7 indexed citations
11.
Mori, M. & John M. Marsh. (1982). The site of luteinizing hormone stimulation of steroidogenesis in mitochondria of the rat corpus luteum.. Journal of Biological Chemistry. 257(11). 6178–6183. 30 indexed citations
12.
Espey, Lawrence L., et al.. (1981). Effect of Indomethacin on Preovulatory Changes in the infrastructure of Rabbit Graafian Follicles*. Endocrinology. 108(3). 1040–1048. 26 indexed citations
13.
William, Maged, et al.. (1979). Inhibition of Human Chorionic Gonadotropin-Induced Progesterone Synthesis by Estradiol in Isolated Human Luteal Cells*. The Journal of Clinical Endocrinology & Metabolism. 48(3). 437–440. 44 indexed citations
15.
Sidhu, Kirpal S., et al.. (1975). Subcellular localization and partial characterization of bovine corpus luteum adenylate cyclase. Biochimica et Biophysica Acta (BBA) - Enzymology. 397(1). 254–266. 7 indexed citations
16.
Yang, Norman, John M. Marsh, & William J. LeMaire. (1974). Post ovulatory changes in the concentration of prostaglandins in rabbit Graafian follicles. Prostaglandins. 6(1). 37–44. 139 indexed citations
17.
LeMaire, William J., et al.. (1973). Preovulatory changes in the concentration of prostaglandins in rabbit graafian follicles. Prostaglandins. 3(3). 367–376. 112 indexed citations
18.
Marsh, John M., Gyula Telegdy, & Kenneth Savard. (1966). Effect of Gonadotropins on Steroidogenesis in Rat Ovaries at Dioestrus. Nature. 212(5065). 950–952. 8 indexed citations
19.
Marsh, John M. & Kenneth Savard. (1966). The stimulation of progesterone synthesis in bovine corpora lutea by adenosine 3', 5'-monophosphate (1). Steroids. 8(2). 133–148. 66 indexed citations
20.
Mason, Norman R., John M. Marsh, & Kenneth Savard. (1961). An Action of Gonadotropin In Vitro. Journal of Biological Chemistry. 236(6). PC34–PC36. 27 indexed citations

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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