M. E. Tumbleson

29 papers receiving 1.0k citations

M. E. Tumbleson's Hit Papers

Swine in biomedical research 1986 · 580 citations
5800+13+26Years since publication100200300400500

Peers

M. E. Tumbleson
Comparison fields: 5 of 137
  • Animal Science and Zoology 150
  • Agronomy and Crop Science 106
  • Small Animals 74
  • Nutrition and Dietetics 136
  • Pharmaceutical Science 44
Replace Keiko Kawamoto with:
Keiko Kawamoto Japan
Pascal Gustin Belgium
Dandan Han China
Alessia Di Giancamillo Italy
Hamid Rahmani Iran
Katherine Groschwitz United States
Haijun Gao China
Osamu Kawamura Japan
Bingbing Zhang China
Soliman M. Soliman Egypt
M. E. Tumbleson relative to Keiko Kawamoto Japan Keiko Kawamoto's profile →
Citations per field
00.5×2.7×
Keiko Kawamoto · 1×
Citations per year

Countries citing papers authored by M. E. Tumbleson

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Tumbleson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Swine in biomedical research
Hit paper breakdown →
1986580
2 196180
3 201074
4 199860
5 200529
6 200625
7 199924
8 196224
9 200523
10 200922
11 200520
12 201819
13 200919
14 200617
15 200316
16 201114
17 201012
18 200512
19 20128
20 19757

About M. E. Tumbleson

M. E. Tumbleson is a scholar working on Nutrition and Dietetics, Biomedical Engineering, Food Science, Plant Science and Molecular Biology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Food composition and properties (9 papers), Biofuel production and bioconversion (7 papers), Fermentation and Sensory Analysis (3 papers), Animal Nutrition and Physiology (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Botany, Ecology, and Taxonomy Studies (2 papers), Membrane Separation Technologies (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Animal Science and Zoology (150 citations), Agronomy and Crop Science (106 citations), Small Animals (74 citations), Nutrition and Dietetics (136 citations) and Pharmaceutical Science (44 citations). M. E. Tumbleson has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Kent D. Rausch, R.L. Belyea, Thor Kommedahl, Vijay Singh, Thomas E. Clevenger, S. R. Eckhoff, Matthew A. Wallig, David B. Johnston, Bernardo C. Vidal and Erik D. Sall. Their work appears in journals such as Bioresource Technology, Cereal Chemistry, Experimental Biology and Medicine, Transactions of the ASABE and Bioprocess and Biosystems Engineering.

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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