J.C. Shaw

1.3k total citations
45 papers, 757 citations indexed

About

J.C. Shaw is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, J.C. Shaw has authored 45 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Agronomy and Crop Science, 9 papers in Animal Science and Zoology and 8 papers in Genetics. Recurrent topics in J.C. Shaw's work include Ruminant Nutrition and Digestive Physiology (16 papers), Effects of Environmental Stressors on Livestock (6 papers) and Genetic and phenotypic traits in livestock (5 papers). J.C. Shaw is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (16 papers), Effects of Environmental Stressors on Livestock (6 papers) and Genetic and phenotypic traits in livestock (5 papers). J.C. Shaw collaborates with scholars based in United States, Belgium and Italy. J.C. Shaw's co-authors include R. N. Doetsch, Richard E. Brown, L.A. Moore, John J. McNeill, F. M. Sirotnak, R.D. McCarthy, Soma Kumar, Ivan L. Lindahl, Don R. Jacobson and R. E. Davis and has published in prestigious journals such as Science, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

J.C. Shaw

44 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.C. Shaw United States 16 498 179 148 113 86 45 757
C.F. Huffman United States 14 352 0.7× 108 0.6× 138 0.9× 59 0.5× 67 0.8× 56 593
C.W. Duncan United States 15 286 0.6× 84 0.5× 117 0.8× 67 0.6× 125 1.5× 55 628
R.S. Allen United States 16 282 0.6× 121 0.7× 145 1.0× 103 0.9× 90 1.0× 48 692
R. W. Mellenberger United States 14 339 0.7× 175 1.0× 115 0.8× 136 1.2× 90 1.0× 20 620
C. O. Little United States 16 642 1.3× 218 1.2× 291 2.0× 111 1.0× 106 1.2× 65 933
J. M. Asplund United States 14 272 0.5× 117 0.7× 114 0.8× 57 0.5× 53 0.6× 43 469
M. Vernay France 16 411 0.8× 111 0.6× 241 1.6× 131 1.2× 98 1.1× 39 693
A. P. Grifo United States 14 209 0.4× 76 0.4× 229 1.5× 72 0.6× 51 0.6× 45 521
H. D. Wallace United States 15 409 0.8× 200 1.1× 307 2.1× 62 0.5× 97 1.1× 58 967
H. Hagemeister Germany 18 501 1.0× 214 1.2× 277 1.9× 162 1.4× 165 1.9× 64 978

Countries citing papers authored by J.C. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.C. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of J.C. Shaw. A scholar is included among the top collaborators of J.C. Shaw 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 J.C. Shaw. J.C. Shaw 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.
Borodovsky, Alexandra, Yanjun Wang, Minwei Ye, et al.. (2018). Abstract 3751: Inhibition of A2AR by AZD4635 induces anti-tumor immunity alone and in combination with anti-PD-L1 in preclinical models. Cancer Research. 78(13_Supplement). 3751–3751. 8 indexed citations
2.
Borodovsky, Alexandra, Yanjun Wang, Minwei Ye, et al.. (2017). Abstract 5580: Preclinical pharmacodynamics and antitumor activity of AZD4635, a novel adenosine 2A receptor inhibitor that reverses adenosine mediated T cell suppression. Cancer Research. 77(13_Supplement). 5580–5580. 19 indexed citations
3.
McCarthy, R.D. & J.C. Shaw. (1960). Metabolism of Volatile Fatty Acids by the Perfused Liver of Cows with Ketosis. Journal of Dairy Science. 43(7). 1010–1012. 6 indexed citations
4.
Shaw, J.C., et al.. (1960). Relation of Diet to Rumen Volatile Fatty Acids, Digestibility, Efficiency of Gain and Degree of Unsaturation of Body Fat in Steers. Journal of Nutrition. 71(3). 203–208. 33 indexed citations
5.
Shaw, J.C., et al.. (1959). Effect of Feeding Cod Liver Oil and Unsaturated Fatty Acids on Rumen Volatile Fatty Acids and Milk Fat Content. Journal of Dairy Science. 42(7). 1238–1240. 65 indexed citations
6.
Shaw, J.C., et al.. (1959). Special Diets for the Production of Low Fat Milk and More Efficient Gains in Body Weight. Journal of Dairy Science. 42(1). 189–191. 66 indexed citations
7.
Jurtshuk, Peter, R. N. Doetsch, & J.C. Shaw. (1958). Anaerobic Purine Dissimilation by Washed Suspensions of Bovine Rumen Bacteria. Journal of Dairy Science. 41(1). 190–202. 14 indexed citations
8.
McCarthy, R.D., et al.. (1958). Metabolism of Volatile Fatty Acids by the Perfused Goat Liver.. Experimental Biology and Medicine. 99(3). 560–562. 20 indexed citations
9.
McCarthy, R.D., et al.. (1958). Production and Absorption of Organic Acids by the Perfused Goat Rumen.. Experimental Biology and Medicine. 99(3). 556–559. 17 indexed citations
10.
Lindahl, Ivan L., R. E. Davis, Don R. Jacobson, & J.C. Shaw. (1957). Feedlot Bloat Studies. I. Animal and Dietary Factors. Journal of Animal Science. 16(1). 165–178. 15 indexed citations
11.
Leffel, E. C. & J.C. Shaw. (1957). Studies on Ketosis in Dairy Cattle. XXI. Effect of Different Levels of Protein and Energy Intake. Journal of Dairy Science. 40(8). 981–988. 3 indexed citations
12.
Shaw, J.C., et al.. (1955). Studies on ketosis in dairy cattle. 20. An evaluation of metacortandracin and 9-alphafluorohydrocortisone acetate.. 36. 918–920. 1 indexed citations
13.
Shaw, J.C., et al.. (1955). Studies on ketosis in dairy cattle. XVIII. The value of 11-ketoprogesterone as a therapeutic agent.. PubMed. 127(942). 218–9. 2 indexed citations
14.
Gibbons, R.J., R. N. Doetsch, & J.C. Shaw. (1955). Further Studies on Polysaccharide Production by Bovine Rumen Bacteria. Journal of Dairy Science. 38(10). 1147–1154. 15 indexed citations
15.
Sirotnak, F. M., et al.. (1954). Aspartate Dissimilation Reactions of Rumen Bacteria. Journal of Dairy Science. 37(5). 531–537. 13 indexed citations
16.
McNeill, John J., R. N. Doetsch, & J.C. Shaw. (1954). Some Nutritional Requirements of Bovine Rumen Bacteria. Journal of Dairy Science. 37(1). 81–88. 20 indexed citations
17.
Sirotnak, F. M., R. N. Doetsch, Richard E. Brown, & J.C. Shaw. (1953). Amino Acid Metabolism of Bovine Rumen Bacteria. Journal of Dairy Science. 36(10). 1117–1123. 31 indexed citations
18.
Shaw, J.C., et al.. (1951). Studies on Ketosis in Dairy Cattle, XV: Response to Treatment with Cortisone and ACTH. Science. 114(2970). 574–576. 10 indexed citations
19.
Shaw, J.C., et al.. (1951). Net Energy vs. T.D.N. in Evaluating the Efficacy of an All-Alfalfa Hay Ration for Milk Production. Journal of Animal Science. 10(4). 947–960. 8 indexed citations
20.
Shaw, J.C., et al.. (1951). Sustained Elevation of Blood Lipids and Effect upon Milk Production of Ruminants given a Surface-active Agent Intravenously. Journal of Dairy Science. 34(12). 1180–1185. 2 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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