Mark D. Walsh
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
-
- Immune Response and Inflammation
- Psoriasis: Treatment and Pathogenesis
- Immune Cell Function and Interaction
Papers in
-
- Single-cell and spatial transcriptomics 3
- Gene Regulatory Network Analysis 3
- Co-authors
- Daniel Hebenstreit (7 shared papers)Charles A. Dinarello (2 shared papers)Gerben Ferwerda (1 shared paper)Jong Sung Park (1 shared paper)Edward Abraham (1 shared paper)Do‐Young Yoon (1 shared paper)Jin‐Man Kim (1 shared paper)Soohyun Kim (1 shared paper)
- Journals
- Journal of the American College of Surgeons (2 papers)Endocrinology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Surgery (1 paper)Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Mark D. Walsh
13 papers receiving 543 citations
Peers
Comparison fields: 5 of 86
- Reproductive Medicine 106
- Immunology 180
- Endocrinology, Diabetes and Metabolism 100
- Oncology 130
- Pharmacology 33
Countries citing papers authored by Mark D. Walsh
This map shows the geographic impact of Mark D. Walsh'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 D. Walsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Walsh more than expected).
Fields of papers citing papers by Mark D. Walsh
This network shows the impact of papers produced by Mark D. Walsh. 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 D. Walsh. The network helps show where Mark D. Walsh may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark D. Walsh, 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 | 2005 | 248 | |
| 2 | 2017 | 153 | |
| 3 | 2021 | 50 | |
| 4 | 2016 | 20 | |
| 5 | 2018 | 20 | |
| 6 | 2018 | 20 | |
| 7 | 2021 | 14 | |
| 8 | 2005 | 10 | |
| 9 | 2005 | 5 | |
| 10 | 2005 | 4 | |
| 11 | 2021 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2020 | 1 |
About Mark D. Walsh
Mark D. Walsh is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology, Oncology and Genetics, having authored 13 papers that have together received 547 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Gene Regulatory Network Analysis (3 papers), Evolution and Genetic Dynamics (2 papers), Immunotherapy and Immune Responses (2 papers), Immune Response and Inflammation (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Medical Imaging and Pathology Studies (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Reproductive Medicine (106 citations), Immunology (180 citations), Endocrinology, Diabetes and Metabolism (100 citations), Oncology (130 citations) and Pharmacology (33 citations). Mark D. Walsh has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Daniel Hebenstreit, Charles A. Dinarello, Gerben Ferwerda, Jong Sung Park, Edward Abraham, Do‐Young Yoon, Jin‐Man Kim, Soohyun Kim, Tania Azam and Stephen E. Girardin. Their work appears in journals such as Journal of the American College of Surgeons, Endocrinology, Frontiers in Cell and Developmental Biology, Surgery and Bioinformatics.
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.