David M. Markusic
Impact in
- Genetics top 1%
- Virus-based gene therapy research
- Hematology top 5%
- Hemophilia Treatment and Research
Papers in
- Genetics 39
- Virus-based gene therapy research 38
-
- Viral gastroenteritis research and epidemiology 11
- Co-authors
- Roland W. HerzogBrad E. HoffmanAshley T. MartinoGeorge Q. PerrinKatherine A. HighSandeep KumarMoanaro BiswasIrene Zolotukhin
- Journals
- Molecular Therapy — Methods & Clinical Development (9 papers)Blood (8 papers)Molecular Therapy (6 papers)Human Gene Therapy (4 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
David M. Markusic
54 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 99
- Genetics 1.4k
- Hematology 298
- Oncology 641
- Molecular Biology 1.5k
- Clinical Biochemistry 146
Countries citing papers authored by David M. Markusic
This map shows the geographic impact of David M. Markusic'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. Markusic 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. Markusic more than expected).
Fields of papers citing papers by David M. Markusic
This network shows the impact of papers produced by David M. Markusic. 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. Markusic. The network helps show where David M. Markusic may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. Markusic, 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 | 2025 | 2 | |
| 2 | 2024 | 15 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 10 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 5 | |
| 9 | Update on clinical gene therapy for hemophilia | 2019 | 5 |
| 10 | 2019 | 31 | |
| 11 | 2018 | 132 | |
| 12 | 2017 | 17 | |
| 13 | 2016 | 173 | |
| 14 | 2015 | 72 | |
| 15 | 2015 | 58 | |
| 16 | 2014 | 58 | |
| 17 | 2010 | 14 | |
| 18 | 2010 | 111 | |
| 19 | 2009 | 5 | |
| 20 | 2005 | 63 |
About David M. Markusic
David M. Markusic is a scholar working on Genetics, Infectious Diseases, Oncology, Immunology and Allergy and Molecular Biology, having authored 54 papers that have together received 2.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (38 papers), CAR-T cell therapy research (18 papers), CRISPR and Genetic Engineering (14 papers), RNA Interference and Gene Delivery (12 papers), Viral gastroenteritis research and epidemiology (11 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Hemophilia Treatment and Research (5 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (298 citations), Oncology (641 citations), Molecular Biology (1.5k citations) and Clinical Biochemistry (146 citations). David M. Markusic has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Roland W. Herzog, Brad E. Hoffman, Ashley T. Martino, George Q. Perrin, Katherine A. High, Sandeep Kumar, Moanaro Biswas, Irene Zolotukhin, Cox Terhorst and Brandon K. Sack. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Blood, Molecular Therapy, Human Gene Therapy and PLoS ONE.
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.