Mark Dailey
Impact in
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- Hepatitis Viruses Studies and Epidemiology
- Hepatitis C virus research
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- Pneumonia and Respiratory Infections
- Hepatitis B Virus Studies
- Pneumocystis jirovecii pneumonia detection and treatment
- Cytomegalovirus and herpesvirus research
Papers in
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- Autoimmune and Inflammatory Disorders Research 2
- Hematopoietic Stem Cell Transplantation 1
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- CNS Lymphoma Diagnosis and Treatment 2
- Co-authors
- Michael W. Rytel (1 shared paper)Walter F. Piering (1 shared paper)Turab Mohammed (2 shared papers)Gonca Ozcan (2 shared papers)Joseph A. DiGiuseppe (2 shared papers)Craig S. Sauter (2 shared papers)Sean M. Devlin (2 shared papers)David G. Pfister (2 shared papers)
- Journals
- Journal of Clinical Oncology (1 paper)Experimental Biology and Medicine (1 paper)JCR Journal of Clinical Rheumatology (1 paper)Leukemia & lymphoma (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Mark Dailey
4 papers receiving 45 citations
Peers
Comparison fields: 5 of 40
- Hepatology 11
- Epidemiology 27
- Endocrinology 3
- Business and International Management 1
- Microbiology 3
Countries citing papers authored by Mark Dailey
This map shows the geographic impact of Mark Dailey'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 Dailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Dailey more than expected).
Fields of papers citing papers by Mark Dailey
This network shows the impact of papers produced by Mark Dailey. 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 Dailey. The network helps show where Mark Dailey may publish in the future.
Co-authors
The 15 scholars most cited alongside Mark Dailey, 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 | 1986 | 36 | |
| 2 | 2021 | 7 | |
| 3 | Cultural models of forests and ecological change on the Appalachian plateau, 1750-1840 | 2000 | 4 |
| 4 | 2022 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2020 | 0 | |
| 7 | 2021 | 0 |
About Mark Dailey
Mark Dailey is a scholar working on Hematology, Neurology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Anthropology, having authored 7 papers that have together received 49 indexed citations. Recurring topics across this work include CNS Lymphoma Diagnosis and Treatment (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), American History and Culture (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Vasculitis and related conditions (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and American Environmental and Regional History (1 paper). The work is most often cited by research in Hepatology (11 citations), Epidemiology (27 citations), Endocrinology (3 citations), Business and International Management (1 citation) and Microbiology (3 citations). Mark Dailey has collaborated with scholars based in United States. Frequent co-authors include Michael W. Rytel, Walter F. Piering, Turab Mohammed, Gonca Ozcan, Joseph A. DiGiuseppe, Craig S. Sauter, Sean M. Devlin, David G. Pfister, Oscar Lahoud and Sergio Giralt. Their work appears in journals such as Journal of Clinical Oncology, Experimental Biology and Medicine, JCR Journal of Clinical Rheumatology, Leukemia & lymphoma and PubMed.
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.