J. M. Scheffler

1.0k citations
33 papers · 592 · h-index 14

Impact in

Papers in

J. M. Scheffler

29 papers receiving 579 citations

Peers

J. M. Scheffler
Comparison fields: 5 of 66
  • Animal Science and Zoology 285
  • Cell Biology 113
  • Agronomy and Crop Science 63
  • Rehabilitation 34
  • Physiology 122
Replace Charlotte A. Maltin with:
Charlotte A. Maltin United Kingdom
T.L. Scheffler United States
Mika Oe Japan
Samer W. El‐Kadi United States
Masaya KATSUMATA Japan
Annie Vincent France
Marie‐Hélène Perruchot France
Kara J Thornton United States
D. L. DeVol United States
Louis L. Lefaucheur France
J. M. Scheffler relative to Charlotte A. Maltin United Kingdom Charlotte A. Maltin's profile →
Citations per field
00.5×
Charlotte A. Maltin · 1×
Citations per year

Countries citing papers authored by J. M. Scheffler

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Scheffler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200976
2 200874
3 201757
4 201355
5 200344
6 201342
7 201341
8 201933
9 201425
10 201324
11 201823
12 201716
13 201314
14 201314
15 201313
16 20097
17
Genomic-polygenic EBV for reproduction, ultrasound-carcass, and tenderness traits in the Florida multibreed Brahman-Angus population
20185
18 20245
19 20155
20 20224

About J. M. Scheffler

J. M. Scheffler is a scholar working on Animal Science and Zoology, Molecular Biology, Cell Biology, Physiology and Genetics, having authored 33 papers that have together received 592 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (12 papers), Muscle Physiology and Disorders (8 papers), Adipose Tissue and Metabolism (6 papers), Animal Nutrition and Physiology (5 papers), Genetic and phenotypic traits in livestock (4 papers), Calpain Protease Function and Regulation (4 papers), Muscle metabolism and nutrition (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Animal Science and Zoology (285 citations), Cell Biology (113 citations), Agronomy and Crop Science (63 citations), Rehabilitation (34 citations) and Physiology (122 citations). J. M. Scheffler has collaborated with scholars based in United States, Brazil and Netherlands. Frequent co-authors include David E. Gerrard, A.L. Grant, Kevin Hannon, Hao Shi, T.L. Scheffler, Tracy L. Scheffler, Mauricio A. Elzo, Raluca G. Mateescu, D. D. Johnson and A. Sosnicki. Their work appears in journals such as Journal of Animal Science, Meat Science, American Journal of Physiology-Cell Physiology, Frontiers in Genetics and Journal of Food Protection.

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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