David M. Markovitz
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Immunology top 1%
- Immune Cell Function and Interaction
Papers in
- Virology 31
- HIV Research and Treatment 31
- Immunology 33
- Immune Cell Function and Interaction 19
- T-cell and Retrovirus Studies 9
- T-cell and B-cell Immunology 9
- Co-authors
- Mark H. KaplanSuzanne GartnerMikuláš PopovičRobert C. GalloP MarkovitsNirit Mor‐VakninKajal SitwalaAntonello Punturieri
- Journals
- Journal of Virology (24 papers)Journal of Biological Chemistry (7 papers)Proceedings of the National Academy of Sciences (5 papers)Clinical Infectious Diseases (4 papers)Scientific Reports (4 papers)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
David M. Markovitz
117 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Virology 2.4k
- Immunology 2.2k
- Infectious Diseases 1.5k
- Molecular Biology 3.1k
- Epidemiology 1.2k
Countries citing papers authored by David M. Markovitz
This map shows the geographic impact of David M. Markovitz'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 David M. Markovitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Markovitz more than expected).
Fields of papers citing papers by David M. Markovitz
This network shows the impact of papers produced by David M. Markovitz. 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 David M. Markovitz. The network helps show where David M. Markovitz may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. Markovitz, 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 | 2024 | 3 | |
| 2 | 2023 | 30 | |
| 3 | 2022 | 17 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 18 | |
| 6 | 2019 | 34 | |
| 7 | Secreted nuclear protein DEK regulates hematopoiesis through CXCR2 signaling | 2019 | 2 |
| 8 | 2018 | 79 | |
| 9 | 2017 | 21 | |
| 10 | 2013 | 65 | |
| 11 | 2012 | 37 | |
| 12 | 2011 | 34 | |
| 13 | 2008 | 82 | |
| 14 | 2008 | 68 | |
| 15 | 2006 | 78 | |
| 16 | 2005 | 51 | |
| 17 | 2001 | 37 | |
| 18 | 1996 | 15 | |
| 19 | 1995 | 26 | |
| 20 | 1988 | 18 |
About David M. Markovitz
David M. Markovitz is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Hematology, having authored 119 papers that have together received 7.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (31 papers), Nuclear Structure and Function (19 papers), Immune Cell Function and Interaction (19 papers), Chromosomal and Genetic Variations (16 papers), Genomics and Chromatin Dynamics (10 papers), RNA Research and Splicing (10 papers), T-cell and Retrovirus Studies (9 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Virology (2.4k citations), Immunology (2.2k citations), Infectious Diseases (1.5k citations), Molecular Biology (3.1k citations) and Epidemiology (1.2k citations). David M. Markovitz has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Mark H. Kaplan, Suzanne Gartner, Mikuláš Popovič, Robert C. Gallo, P Markovits, Nirit Mor‐Vaknin, Kajal Sitwala, Antonello Punturieri, Rafael Contreras-Galindo and Michael Coffey. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Clinical Infectious Diseases and Scientific Reports.
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.