Smith Mw

195 papers receiving 3.8k citations

Peers

Smith Mw
Comparison fields: 5 of 111
  • Animal Science and Zoology 1.1k
  • Biochemistry 489
  • Gastroenterology 301
  • Aquatic Science 249
  • Nutrition and Dietetics 422
Replace Ronaldo P. Ferraris with:
Ronaldo P. Ferraris United States
Michael Field United States
OTAKAR KOLDOVSKY United States
David Henry Smyth United Kingdom
Guy Dandrifosse Belgium
Dorothee Günzel Germany
Lee R. Hagey United States
Wolfgang v. Engelhardt Germany
Francisco Alvarado France
Mireille Andriamihaja France
Smith Mw relative to Ronaldo P. Ferraris United States Ronaldo P. Ferraris's profile →
Citations per field
00.5×2×3×3.6×
Ronaldo P. Ferraris · 1×
Citations per year

Countries citing papers authored by Smith Mw

Since Specialization
Citations

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

Fields of papers citing papers by Smith Mw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Smith Mw. 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 Smith Mw. The network helps show where Smith Mw may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980200
2 1991166
3
Salmonella-induced M-cell formation in germ-free mouse Peyer's patch tissue.
1991136
4 1986116
5 1973112
6 1980111
7 197091
8
M cell numbers increase after transfer of SPF mice to a normal animal house environment.
198787
9 197185
10 198784
11 198583
12 199583
13 198173
14 197870
15 199170
16 197868
17 199166
18 195965
19 197665
20 199261

About Smith Mw

Smith Mw is a scholar working on Animal Science and Zoology, Biochemistry, Genetics, Gastroenterology and Molecular Biology, having authored 207 papers that have together received 5k indexed citations. Recurring topics across this work include Digestive system and related health (58 papers), Ion Transport and Channel Regulation (53 papers), Animal Nutrition and Physiology (45 papers), Amino Acid Enzymes and Metabolism (35 papers), Physiological and biochemical adaptations (22 papers), Gastrointestinal motility and disorders (12 papers), Aquaculture Nutrition and Growth (11 papers) and Clinical Nutrition and Gastroenterology (9 papers). The work is most often cited by research in Animal Science and Zoology (1.1k citations), Biochemistry (489 citations), Gastroenterology (301 citations), Aquatic Science (249 citations) and Nutrition and Dietetics (422 citations). Smith Mw has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Peter S. James, Francisco V. Sepúlveda, M. A. Peacock, J. Y. F. Paterson, Robert M. Moor, David R. Tivey, Patrick Kemp, REX M. C. DAWSON, Dario Cremaschi and David Erlij. Their work appears in journals such as The Journal of Physiology, Cellular and Molecular Life Sciences, Biochimica et Biophysica Acta (BBA) - Biomembranes, The Journal of Agricultural Science and Clinical 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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