Michael Konomos

8 papers receiving 287 citations

Michael Konomos's Hit Papers

Monkeypox: A Contemporary Review for Healthcare Professionals 2022 · 186 citations
1860+1+2Years since publication50100150

Peers

Michael Konomos
Comparison fields: 5 of 54
  • Virology 172
  • Transplantation 26
  • Epidemiology 90
  • Molecular Biology 117
  • Health Informatics 2
Replace Kenny Dauwe with:
Kenny Dauwe Belgium
Adam L. Cohen United States
Leen Vancoillie Belgium
Ruxandra-Ilinca Ibanescu Canada
Kathrin Keeren Germany
Camille Tumiotto France
Thomas D. Filardo United States
Kathrin van Bremen Germany
Jordyn Manucci United States
Bryan Tegomoh United States
Michael Konomos relative to Kenny Dauwe Belgium Kenny Dauwe's profile →
Citations per field
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Kenny Dauwe · 1×
Citations per year

Countries citing papers authored by Michael Konomos

Since Specialization
Citations

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

Fields of papers citing papers by Michael Konomos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Monkeypox: A Contemporary Review for Healthcare Professionals
Hit paper breakdown →
2022186
2 201562
3 201321
4 20208
5 20215
6 20214
7 20214
8 20233
9 20220

About Michael Konomos

Michael Konomos is a scholar working on Oncology, Molecular Biology, Hematology, Pathology and Forensic Medicine and General Health Professions, having authored 9 papers that have together received 293 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (2 papers), Poxvirus research and outbreaks (1 paper), Language, Discourse, Communication Strategies (1 paper), Immunotherapy and Immune Responses (1 paper), BRCA gene mutations in cancer (1 paper), Telemedicine and Telehealth Implementation (1 paper), T-cell and B-cell Immunology (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Virology (172 citations), Transplantation (26 citations), Epidemiology (90 citations), Molecular Biology (117 citations) and Health Informatics (2 citations). Michael Konomos has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Boghuma K Titanji, Prathit A. Kulkarni, Saman Nematollahi, Bryan Tegomoh, Sean N. Halpin, Mohua Basu, Danya Liu, Ivana R. Ferrer, Mandy L. Ford and Sumit Mohan. Their work appears in journals such as Patient Education and Counseling, The Journal of Immunology, Public Health Genomics, Global Qualitative Nursing Research and Transplantation.

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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