M. Wes Schilling

4.1k citations
151 papers · 3.0k · h-index 30

Impact in

Papers in

M. Wes Schilling

144 papers receiving 2.9k citations

Peers

M. Wes Schilling
Comparison fields: 5 of 138
  • Animal Science and Zoology 1.6k
  • Food Science 1.0k
  • Insect Science 461
  • Biotechnology 298
  • Aquatic Science 206
Replace Isabel Jaime with:
Isabel Jaime Spain
Marta Suely Madruga Brazil
Eduardo Mendes Ramos Brazil
Khalid Ibrahim Sallam Egypt
Linda Saucier Canada
Xin Luo China
Maurice G. O’Sullivan Ireland
Hooi Ling Foo Malaysia
R.A. Mancini United States
Samooel Jung South Korea
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Citations per field
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Citations per year

Countries citing papers authored by M. Wes Schilling

Since Specialization
Citations

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

Fields of papers citing papers by M. Wes Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016162
2 2008158
3 2017111
4 202196
5 201382
6 202173
7 200966
8 201258
9 201857
10 201055
11 201055
12 200654
13 200851
14 201749
15 200848
16 200747
17 202047
18 200842
19 201940
20 201638

About M. Wes Schilling

M. Wes Schilling is a scholar working on Animal Science and Zoology, Food Science, Insect Science, Plant Science and Molecular Biology, having authored 151 papers that have together received 3.0k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (74 papers), Animal Nutrition and Physiology (52 papers), Insect and Pesticide Research (31 papers), Insect Pest Control Strategies (27 papers), Aquaculture Nutrition and Growth (15 papers), Sensory Analysis and Statistical Methods (14 papers), Insect-Plant Interactions and Control (13 papers) and Protein Hydrolysis and Bioactive Peptides (11 papers). The work is most often cited by research in Animal Science and Zoology (1.6k citations), Food Science (1.0k citations), Insect Science (461 citations), Biotechnology (298 citations) and Aquatic Science (206 citations). M. Wes Schilling has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Patti C. Coggins, Thomas W. Phillips, J.B. Williams, V. Jackson, Ramakrishna Nannapaneni, A. Corzo, Barakat S.M. Mahmoud, Juan L. Silva, Bhawna Soni and El Barbary Hassan. Their work appears in journals such as Meat Science, Poultry Science, Journal of Stored Products Research, The Journal of Applied Poultry Research and Journal of Food Science.

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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