Mitchell W. Mutz
Impact in
- Equine top 10%
Papers in
-
- Antimicrobial Peptides and Activities 2
-
- Microfluidic and Bio-sensing Technologies 4
- Innovative Microfluidic and Catalytic Techniques Innovation 4
- Co-authors
- Richard N. Ellson (5 shared papers)David L. Harris (3 shared papers)George L McLendon (3 shared papers)James F. Wishart (3 shared papers)Martin A. Case (2 shared papers)Meghan Samantha Miller (1 shared paper)W.C. Buhi (1 shared paper)Mats H.T. Troedsson (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (1 paper)Biology of Reproduction (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Combinatorial Chemistry & High Throughput Screening (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Mitchell W. Mutz
16 papers receiving 509 citations
Peers
Comparison fields: 5 of 95
- Equine 16
- Structural Biology 8
- Reproductive Medicine 39
- Infectious Diseases 72
- Biophysics 22
Countries citing papers authored by Mitchell W. Mutz
This map shows the geographic impact of Mitchell W. Mutz'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 Mitchell W. Mutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell W. Mutz more than expected).
Fields of papers citing papers by Mitchell W. Mutz
This network shows the impact of papers produced by Mitchell W. Mutz. 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 Mitchell W. Mutz. The network helps show where Mitchell W. Mutz may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell W. Mutz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2003 | 75 | |
| 3 | 2011 | 70 | |
| 4 | 2003 | 52 | |
| 5 | 2005 | 45 | |
| 6 | 1999 | 39 | |
| 7 | 1996 | 33 | |
| 8 | 2009 | 29 | |
| 9 | 2017 | 23 | |
| 10 | 1998 | 23 | |
| 11 | 2015 | 23 | |
| 12 | 2006 | 22 | |
| 13 | 2008 | 14 | |
| 14 | 2005 | 10 | |
| 15 | 1998 | 5 | |
| 16 | 2002 | 2 |
About Mitchell W. Mutz
Mitchell W. Mutz is a scholar working on Microbiology, Biomedical Engineering, Molecular Biology, Infectious Diseases and Electrical and Electronic Engineering, having authored 16 papers that have together received 552 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Signaling Pathways in Disease (3 papers), Electrohydrodynamics and Fluid Dynamics (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Antimicrobial Peptides and Activities (2 papers), Molecular Junctions and Nanostructures (2 papers) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Equine (16 citations), Structural Biology (8 citations), Reproductive Medicine (39 citations), Infectious Diseases (72 citations) and Biophysics (22 citations). Mitchell W. Mutz has collaborated with scholars based in United States and Germany. Frequent co-authors include Richard N. Ellson, David L. Harris, George L McLendon, James F. Wishart, Martin A. Case, Meghan Samantha Miller, W.C. Buhi, Mats H.T. Troedsson, Steve Benson and Kirsten E. S. Scoggin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Biology of Reproduction, Bioorganic & Medicinal Chemistry Letters and Combinatorial Chemistry & High Throughput Screening.
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.