Mark Dailey
Impact in
- Oncology top 5%
- COVID-19 and healthcare impacts
- Cancer Immunotherapy and Biomarkers
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Autoimmune and Inflammatory Disorders Research 2
- Acute Myeloid Leukemia Research 1
- Hematopoietic Stem Cell Transplantation 1
- Oncology 3
- COVID-19 and healthcare impacts 3
- Co-authors
- Michael W. Rytel (1 shared paper)Walter F. Piering (1 shared paper)Joshua Alexander Fein (1 shared paper)David G. Pfister (1 shared paper)Sergio Giralt (1 shared paper)William N. Rezuke (2 shared papers)Gonca Ozcan (1 shared paper)Krzysztof Glomski (2 shared papers)
- Journals
- JAMA Network Open (2 papers)The Lancet (1 paper)Experimental Biology and Medicine (1 paper)Leukemia & lymphoma (1 paper)JCR Journal of Clinical Rheumatology (1 paper)
- Partner nations
- United States
In The Last Decade
Mark Dailey
7 papers receiving 1.4k citations
Mark Dailey's Hit Papers
Peers
Comparison fields: 5 of 95
- Oncology 971
- Infectious Diseases 446
- Obstetrics and Gynecology 44
- Health 41
- General Health Professions 115
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 | Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study Hit paper breakdown → | 2020 | 1331 |
| 2 | 2022 | 47 | |
| 3 | 1986 | 42 | |
| 4 | 2021 | 7 | |
| 5 | 2022 | 7 | |
| 6 | Cultural models of forests and ecological change on the Appalachian plateau, 1750-1840 | 2000 | 5 |
| 7 | 2024 | 1 | |
| 8 | 2021 | 0 | |
| 9 | 2020 | 0 |
About Mark Dailey
Mark Dailey is a scholar working on Hematology, Oncology, Neurology, Marketing and Anthropology, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Archaeology and Natural History (1 paper), American Environmental and Regional History (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Oncology (971 citations), Infectious Diseases (446 citations), Obstetrics and Gynecology (44 citations), Health (41 citations) and General Health Professions (115 citations). Mark Dailey has collaborated with scholars based in United States. Frequent co-authors include Michael W. Rytel, Walter F. Piering, Joshua Alexander Fein, David G. Pfister, Sergio Giralt, William N. Rezuke, Gonca Ozcan, Krzysztof Glomski, Peter Paul Yu and Turab Jawaid Mohammed. Their work appears in journals such as JAMA Network Open, The Lancet, Experimental Biology and Medicine, Leukemia & lymphoma and JCR Journal of Clinical Rheumatology.
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.