S.C. Mitchell

27 papers receiving 1.4k citations

Hit Papers

Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin-resistant mice 2006 · 847 citations
8470+6+13Years since publication250500750

Peers

S.C. Mitchell
Comparison fields: 5 of 110
  • Physiology 431
  • Biological Psychiatry 36
  • Molecular Biology 942
  • Biochemistry 75
  • Epidemiology 293
Replace Roger Tatoud with:
Roger Tatoud United Kingdom
Roberto Rivabene Italy
Lydie Humbert France
Neville A Punchard United Kingdom
Jianmin Huang United States
Sunhee Jung South Korea
Jeng‐Jer Shieh Taiwan
Margaret M. Allaman United States
Eric Pédruzzi France
Noritoshi Takeichi Japan
S.C. Mitchell relative to Roger Tatoud United Kingdom Roger Tatoud's profile →
Citations per field
00.5×1.6×
Roger Tatoud · 1×
Citations per year

Countries citing papers authored by S.C. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by S.C. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.C. Mitchell. 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 S.C. Mitchell. The network helps show where S.C. Mitchell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin-resistant mice
Hit paper breakdown →
2006847
2 1999279
3 199262
4 199046
5 198236
6 199631
7 199726
8 199722
9 201120
10 199019
11 201219
12 201615
13 200312
14 201110
15 19837
16 20166
17 20055
18 19984
19 19863
20 20042

About S.C. Mitchell

S.C. Mitchell is a scholar working on Biochemistry, Molecular Biology, Physiology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Folate and B Vitamins Research (3 papers), Diet and metabolism studies (3 papers), Advanced Chemical Sensor Technologies (2 papers), Animal Nutrition and Physiology (2 papers), Analytical Chemistry and Chromatography (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Physiology (431 citations), Biological Psychiatry (36 citations), Molecular Biology (942 citations), Biochemistry (75 citations) and Epidemiology (293 citations). S.C. Mitchell has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Elaine Holmes, John C. Lindon, Dominique Gauguier, Marc‐Emmanuel Dumas, Jeremy K. Nicholson, Christine Blancher, Véronique Blanc, Richard H. Barton, Jane Fearnside and Ayo A. Toye. Their work appears in journals such as Xenobiotica, Proceedings of the National Academy of Sciences, Journal of Chromatography A, Journal of Proteome Research and Seizure.

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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