Mark Dailey

2.0k citations
7 papers · 49 · h-index 3

Impact in

    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis C virus research
    • Pneumonia and Respiratory Infections
    • Hepatitis B Virus Studies
    • Cytomegalovirus and herpesvirus research

Papers in

    • Autoimmune and Inflammatory Disorders Research 2
    • Acute Myeloid Leukemia Research 1
    • CNS Lymphoma Diagnosis and Treatment 2

Mark Dailey

4 papers receiving 45 citations

Peers

Mark Dailey
Comparison fields: 5 of 40
  • Hepatology 8
  • Epidemiology 24
  • Health 4
  • Microbiology 3
  • Business and International Management 1
Replace Alexandra Rohel with:
Alexandra Rohel France
Amato Otani Japan
Natasha Christie-Holmes Canada
Megha Singh United Kingdom
Aleksandar Šimunović Croatia
Vicenç Falcó Ferrer Spain
H. Melliez France
Dhineshree Govender South Africa
Konrad Zawadka Poland
Qinglong Zhao China
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Citations per field
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Alexandra Rohel · 1×
Citations per year

Countries citing papers authored by Mark Dailey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark Dailey Line = papers co-authored together Mark Dailey links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 198636
2 20217
3
Cultural models of forests and ecological change on the Appalachian plateau, 1750-1840
20004
4 20222
5 20240
6 20200
7 20210

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), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Acute Myeloid Leukemia Research (1 paper), American History and Culture (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Vasculitis and related conditions (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Hepatology (8 citations), Epidemiology (24 citations), Health (4 citations), Microbiology (3 citations) and Business and International Management (1 citation). Mark Dailey has collaborated with scholars based in United States. Frequent co-authors include Michael W. Rytel, Walter F. Piering, Joseph A. DiGiuseppe, Peter Paul Yu, Turab Mohammed, William N. Rezuke, Oscar Lahoud, Gonca Ozcan, Craig S. Sauter and David G. Pfister. Their work appears in journals such as Experimental Biology and Medicine, Journal of Clinical Oncology, 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.

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