Michael Nash
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
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- Biochemical and Structural Characterization 2
- Lipid Membrane Structure and Behavior 1
- Signaling Pathways in Disease 1
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- Force Microscopy Techniques and Applications 3
- Co-authors
- Renato Lenzi (3 shared papers)Ralph S. Freedman (3 shared papers)Chris D. Platsoucas (3 shared papers)Hermann E. Gaub (3 shared papers)Wolfgang Ott (2 shared papers)Markus Jobst (2 shared papers)Lukas F. Milles (2 shared papers)Bohuslav Melichar (1 shared paper)
- Journals
- Clinical & Experimental Immunology (2 papers)Physical review. E (1 paper)ACS Nano (1 paper)Analytical Chemistry (1 paper)The Business History Review (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Nash
9 papers receiving 298 citations
Peers
Comparison fields: 5 of 66
- Structural Biology 7
- Immunology 88
- Oncology 61
- Atomic and Molecular Physics, and Optics 73
- Biological Psychiatry 4
Countries citing papers authored by Michael Nash
This map shows the geographic impact of Michael Nash'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 Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Nash more than expected).
Fields of papers citing papers by Michael Nash
This network shows the impact of papers produced by Michael Nash. 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 Nash. The network helps show where Michael Nash may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Nash, 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 | Phase I study of intraperitoneal recombinant human interleukin 12 in patients with Müllerian carcinoma, gastrointestinal primary malignancies, and mesothelioma. | 2002 | 71 |
| 2 | 2000 | 67 | |
| 3 | 2017 | 65 | |
| 4 | 1998 | 39 | |
| 5 | 2015 | 35 | |
| 6 | 2016 | 12 | |
| 7 | 2014 | 11 | |
| 8 | 1986 | 1 | |
| 9 | 1987 | 1 |
About Michael Nash
Michael Nash is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Immunology, Marketing and Cognitive Neuroscience, having authored 9 papers that have together received 302 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (3 papers), Biochemical and Structural Characterization (2 papers), Immune Cell Function and Interaction (2 papers), American History and Culture (1 paper), T-cell and B-cell Immunology (1 paper), Lipid Membrane Structure and Behavior (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Structural Biology (7 citations), Immunology (88 citations), Oncology (61 citations), Atomic and Molecular Physics, and Optics (73 citations) and Biological Psychiatry (4 citations). Michael Nash has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Renato Lenzi, Ralph S. Freedman, Chris D. Platsoucas, Hermann E. Gaub, Wolfgang Ott, Markus Jobst, Lukas F. Milles, Bohuslav Melichar, Claire F. Verschraegen and Andrzej P. Kudelka. Their work appears in journals such as Clinical & Experimental Immunology, Physical review. E, ACS Nano, Analytical Chemistry and The Business History 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.