Michael D. Mitchell

852 citations
25 papers · 625 · h-index 12

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
    • Catalysis and Oxidation Reactions
    • Catalysts for Methane Reforming

Papers in

Michael D. Mitchell

23 papers receiving 593 citations

Peers

Michael D. Mitchell
Comparison fields: 5 of 125
  • Pharmacology 224
  • Catalysis 50
  • Computational Theory and Mathematics 61
  • Hepatology 29
  • Biochemistry 23
Replace Hongbin Yu with:
Hongbin Yu China
Toshihide Takagi Japan
Rui Shen China
Franklin G. King United States
Rongwu Xiang China
Michael T. Ringel Germany
Dapeng Li China
Siyu Fu China
Eiji Matsushima Japan
Michael D. Mitchell relative to Hongbin Yu China Hongbin Yu's profile →
Citations per field
00.5×3.1×
Hongbin Yu · 1×
Citations per year

Countries citing papers authored by Michael D. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005232
2 198456
3 201547
4 200638
5 201134
6 199928
7 200628
8 200727
9 200824
10 200823
11 200821
12 197619
13 20149
14 20067
15 20167
16 20066
17 19786
18 20174
19 19873
20 20152

About Michael D. Mitchell

Michael D. Mitchell is a scholar working on Molecular Biology, Pharmacology, Genetics, Organic Chemistry and Surgery, having authored 25 papers that have together received 625 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Computational Drug Discovery Methods (2 papers), Bacterial biofilms and quorum sensing (2 papers), Pancreatitis Pathology and Treatment (2 papers), Hormonal Regulation and Hypertension (2 papers), Membrane Separation Technologies (2 papers), Fecal contamination and water quality (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Pharmacology (224 citations), Catalysis (50 citations), Computational Theory and Mathematics (61 citations), Hepatology (29 citations) and Biochemistry (23 citations). Michael D. Mitchell has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Jennie Walgren, David C. Thompson, M. Albert Vannice, Henk J. Busscher, David C. Thompson, Dimitris I. Collias, Henny C. van der Mei, Mollisa M. Elrick, Timothy G. Brayman and Daochuan Li. Their work appears in journals such as Biotechnology and Bioengineering, Toxicological Sciences, Plastic Surgical Nursing, Journal of Colloid and Interface Science and Journal of Pain.

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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