Marion E. Simpson

628 citations
28 papers · 510 · h-index 11

Impact in

Papers in

Marion E. Simpson

24 papers receiving 425 citations

Peers

Marion E. Simpson
Comparison fields: 5 of 66
  • Agronomy and Crop Science 182
  • Animal Science and Zoology 88
  • Plant Science 214
  • Fuel Technology 4
  • Cell Biology 70
Replace R. A. Meronuck with:
R. A. Meronuck United States
Bj�rn O. Eggum South Korea
Ryuichi Uegaki Japan
A. K. Misra India
P. Siroka Slovakia
R.C. Jakhmola India
Emin Özköse Türkiye
A. J. Peplinski United States
Blanche D. E. Gaillard Netherlands
Kirsten Weiß Germany
Marion E. Simpson relative to R. A. Meronuck United States R. A. Meronuck's profile →
Citations per field
00.5×2×4×5.2×
R. A. Meronuck · 1×
Citations per year

Countries citing papers authored by Marion E. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Marion E. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Marion E. Simpson, 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 Marion E. Simpson Line = papers co-authored together Marion E. Simpson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976172
2 197559
3 196954
4 195339
5 197535
6 196924
7 197321
8
Effects of certain antibiotics on in vitro cellulose digestibility and volatile fatty acid (VFA) production by ruminal microorganisms
197816
9 197313
10 197710
11 197310
12 19848
13 19788
14 19827
15 19826
16 19585
17 19775
18 19785
19 19843
20 19773

About Marion E. Simpson

Marion E. Simpson is a scholar working on Plant Science, Agronomy and Crop Science, Cell Biology, Biomedical Engineering and Organic Chemistry, having authored 28 papers that have together received 510 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (7 papers), Mycotoxins in Agriculture and Food (5 papers), Plant Pathogens and Fungal Diseases (3 papers), Biofuel production and bioconversion (3 papers), Organic and Inorganic Chemical Reactions (2 papers), Agricultural and Food Sciences (2 papers), Plant and fungal interactions (2 papers) and Ruminant Nutrition and Digestive Physiology (2 papers). The work is most often cited by research in Agronomy and Crop Science (182 citations), Animal Science and Zoology (88 citations), Plant Science (214 citations), Fuel Technology (4 citations) and Cell Biology (70 citations). Marion E. Simpson has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Paul B. Marsh, D. A. Dinius, Mary W Trucksess, George V. Merola, Renato Ferretti, T. Colin Campbell, H. H. Ramey, G. D. Paulson, Jeffrey M. Giddings and J. E. Bakke. Their work appears in journals such as Textile Research Journal, Journal of Environmental Quality, Mycologia, Journal of Agricultural and Food Chemistry and Journal of Mass Spectrometry.

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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