Mark Minie
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in
-
- interferon and immune responses 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
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- Bioinformatics and Genomic Networks 1
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Tomikazu Sasaki (3 shared papers)Joshua J. Woodward (3 shared papers)Jie An (3 shared papers)Keith B. Elkon (3 shared papers)Sherrilynne S. Fuller (2 shared papers)Peter Tarczy‐Hornoch (2 shared papers)J. Scott Brockenbrough (1 shared paper)Nicholas Anderson (1 shared paper)
- Journals
- Arthritis & Rheumatology (1 paper)The Journal of Immunology (1 paper)Journal of the American Medical Informatics Association (1 paper)Annual Review of Medicine (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- United StatesRussiaIndia
In The Last Decade
Mark Minie
7 papers receiving 537 citations
Peers
Comparison fields: 5 of 91
- Immunology 293
- Infectious Diseases 129
- Information Systems and Management 44
- Rheumatology 71
- Molecular Biology 246
Countries citing papers authored by Mark Minie
This map shows the geographic impact of Mark Minie'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 Mark Minie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Minie more than expected).
Fields of papers citing papers by Mark Minie
This network shows the impact of papers produced by Mark Minie. 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 Mark Minie. The network helps show where Mark Minie may publish in the future.
Co-authors
The 23 scholars most cited alongside Mark Minie, 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 | 2015 | 190 | |
| 2 | 2018 | 105 | |
| 3 | 2016 | 104 | |
| 4 | 2007 | 93 | |
| 5 | 2014 | 42 | |
| 6 | The University of Washington Health Sciences Library BioCommons: an evolving Northwest biomedical research information support infrastructure. | 2006 | 12 |
| 7 | 2014 | 1 |
About Mark Minie
Mark Minie is a scholar working on Immunology, Molecular Biology, Information Systems, Information Systems and Management and Oncology, having authored 7 papers that have together received 547 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), Systemic Lupus Erythematosus Research (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Scientific Computing and Data Management (2 papers), Research Data Management Practices (2 papers), Bioinformatics and Genomic Networks (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Immunology (293 citations), Infectious Diseases (129 citations), Information Systems and Management (44 citations), Rheumatology (71 citations) and Molecular Biology (246 citations). Mark Minie has collaborated with scholars based in United States, Russia and India. Frequent co-authors include Tomikazu Sasaki, Joshua J. Woodward, Jie An, Keith B. Elkon, Sherrilynne S. Fuller, Peter Tarczy‐Hornoch, J. Scott Brockenbrough, Nicholas Anderson, James F. Brinkley and Weinan Lai. Their work appears in journals such as Arthritis & Rheumatology, The Journal of Immunology, Journal of the American Medical Informatics Association, Annual Review of Medicine and Drug Discovery Today.
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.