David M. Markusic

3.0k citations
54 papers · 2.4k indexed · h-index 26

Impact in

  • Genetics top 1%
    • Virus-based gene therapy research
  • Hematology top 5%
    • Hemophilia Treatment and Research

Papers in

David M. Markusic

54 papers receiving 2.4k citations

Peers

David M. Markusic
Comparison fields: 5 of 99
  • Genetics 1.4k
  • Hematology 298
  • Oncology 641
  • Molecular Biology 1.5k
  • Clinical Biochemistry 146
Replace John T. Gray with:
John T. Gray United States
Leszek Lisowski Australia
Peter Colosi United States
Gregory M. Podsakoff United States
Jenny McIntosh United Kingdom
Xavier M. Anguela United States
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Denise E. Sabatino United States
Colleen S. Stein United States
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David M. Markusic relative to John T. Gray United States John T. Gray's profile →
Citations per field
00.5×4.9×
John T. Gray · 1×
Citations per year

Countries citing papers authored by David M. Markusic

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202415
3 20242
4 202310
5 202112
6 202023
7 20205
8 20205
9
Update on clinical gene therapy for hemophilia
20195
10 201931
11 2018132
12 201717
13 2016173
14 201572
15 201558
16 201458
17 201014
18 2010111
19 20095
20 200563

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.

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