Michael D. Mitchell

858 citations
27 papers · 686 · h-index 12

Impact in

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

Papers in

Michael D. Mitchell

25 papers receiving 634 citations

Peers

Michael D. Mitchell
Comparison fields: 5 of 100
  • Pharmacology 268
  • Catalysis 26
  • Spectroscopy 48
  • Water Science and Technology 37
  • Toxicology 11
Replace Siyu Fu with:
Siyu Fu China
Michiel W. den Braver Netherlands
Rahul Chhabra United States
Huanhuan Du China
William J. Brock United States
Hermann M. Bolt Germany
Tomoshi Nishizawa Japan
Vineet Kumar India
Michiharu Matsumoto Japan
Abhinav Parashar India
Michael D. Mitchell relative to Siyu Fu China Siyu Fu's profile →
Citations per field
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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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005262
2 198460
3 201549
4 200640
5 201137
6 200630
7 200728
8 199927
9 200825
10 200825
11 200822
12 197621
13 200610
14 20149
15 20169
16 20068
17 19786
18 19874
19 20174
20 20123

About Michael D. Mitchell

Michael D. Mitchell is a scholar working on Pharmacology, Statistical and Nonlinear Physics, Water Science and Technology, Strategy and Management and Health, having authored 27 papers that have together received 686 indexed citations. Recurring topics across this work include Fecal contamination and water quality (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Adsorption and biosorption for pollutant removal (3 papers), Social Media in Health Education (2 papers), Multi-Agent Systems and Negotiation (2 papers), Complex Network Analysis Techniques (2 papers), Complex Systems and Time Series Analysis (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Pharmacology (268 citations), Catalysis (26 citations), Spectroscopy (48 citations), Water Science and Technology (37 citations) and Toxicology (11 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, Mollisa M. Elrick, Dimitris I. Collias, David C. Thompson, Henny C. van der Mei, Henk J. Busscher, Timothy G. Brayman and Dale L. Morris. Their work appears in journals such as Toxicological Sciences, Biotechnology and Bioengineering, Plastic and Aesthetic Nursing, Journal of Pain and Law & Society Review.

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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