Michael D. Bailey

476 citations
6 papers · 342 · h-index 4

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • Inflammatory Biomarkers in Disease Prognosis 1
    • Acute Myeloid Leukemia Research 1

Michael D. Bailey

6 papers receiving 338 citations

Peers

Michael D. Bailey
Comparison fields: 5 of 58
  • Hematology 122
  • Infectious Diseases 83
  • Oncology 67
  • Modeling and Simulation 6
  • Immunology 21
Replace Lior Goldberg with:
Lior Goldberg Israel
Gabriela Rodríguez‐Macías Spain
Gabriel Robbins United States
Bakwatanisa Bosco China
Mitsuhiro Yuasa Japan
Xiaoli Ma China
Rosa Coll Spain
Moritz Fürstenau Germany
Catarina Maia Spain
Oana Stanca Romania
Michael D. Bailey relative to Lior Goldberg Israel Lior Goldberg's profile →
Citations per field
00.5×2×4×5.3×
Lior Goldberg · 1×
Citations per year

Countries citing papers authored by Michael D. Bailey

Since Specialization
Citations

This map shows the geographic impact of Michael D. Bailey'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 Michael D. Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Bailey more than expected).

Fields of papers citing papers by Michael D. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Bailey. 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 Michael D. Bailey. The network helps show where Michael D. Bailey may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael D. Bailey, 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 Michael D. Bailey Line = papers co-authored together Michael D. Bailey links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2020172
2 2021128
3 202329
4 202410
5 20172
6 20211

About Michael D. Bailey

Michael D. Bailey is a scholar working on Oncology, Hematology, Neurology, Infectious Diseases and Nuclear Energy and Engineering, having authored 6 papers that have together received 342 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Long-Term Effects of COVID-19 (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 Clinical Research Studies (1 paper), Acute Myeloid Leukemia Research (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Hematology (122 citations), Infectious Diseases (83 citations), Oncology (67 citations), Modeling and Simulation (6 citations) and Immunology (21 citations). Michael D. Bailey has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Piera Maiolino, Paolo Chiodini, Ester Simeone, Andrew M. White, Margaret Ottaviano, Domenico Mallardo, Sarah Church, Mario Fordellone, Ernesta Cavalcanti and Sarah E. Warren. Their work appears in journals such as Science Translational Medicine, Nature Communications, Annals of Oncology, Journal of Translational Medicine and Nature Aging.

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.

Explore authors with similar magnitude of impact