Mark E. Metzger
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Genetics top 0.5%
- Virus-based gene therapy research
- Mesenchymal stem cell research
Papers in
- Genetics 63
- Virus-based gene therapy research 62
- Mesenchymal stem cell research 7
-
- RNA Interference and Gene Delivery 36
- CRISPR and Genetic Engineering 18
- Co-authors
- Robert E. Donahue (86 shared papers)Cynthia E. Dunbar (45 shared papers)Brian Agricola (21 shared papers)John F. Tisdale (32 shared papers)Stephanie Sellers (16 shared papers)Aylin Bonifacino (35 shared papers)Allen E. Krouse (32 shared papers)Richard A. Morgan (4 shared papers)
- Journals
- Blood (33 papers)Human Gene Therapy (11 papers)Molecular Therapy (9 papers)Journal of Virology (3 papers)Experimental Hematology (3 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Mark E. Metzger
94 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 101
- Hematology 779
- Genetics 2.0k
- Genetics 451
- Virology 190
- Oncology 883
Countries citing papers authored by Mark E. Metzger
This map shows the geographic impact of Mark E. Metzger'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 Mark E. Metzger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Metzger more than expected).
Fields of papers citing papers by Mark E. Metzger
This network shows the impact of papers produced by Mark E. Metzger. 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 Mark E. Metzger. The network helps show where Mark E. Metzger may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark E. Metzger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 224 | |
| 2 | 2011 | 207 | |
| 3 | 2006 | 153 | |
| 4 | 2004 | 139 | |
| 5 | 2007 | 138 | |
| 6 | 1996 | 136 | |
| 7 | 1994 | 133 | |
| 8 | 2014 | 130 | |
| 9 | 2007 | 123 | |
| 10 | 2002 | 108 | |
| 11 | 1999 | 102 | |
| 12 | 2000 | 101 | |
| 13 | 2000 | 98 | |
| 14 | 2000 | 94 | |
| 15 | 2012 | 93 | |
| 16 | 2001 | 87 | |
| 17 | 1999 | 86 | |
| 18 | 2009 | 84 | |
| 19 | 2014 | 80 | |
| 20 | 2014 | 73 |
About Mark E. Metzger
Mark E. Metzger is a scholar working on Genetics, Molecular Biology, Hematology, Oncology and Immunology, having authored 95 papers that have together received 3.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (62 papers), RNA Interference and Gene Delivery (36 papers), Hematopoietic Stem Cell Transplantation (19 papers), CAR-T cell therapy research (18 papers), CRISPR and Genetic Engineering (18 papers), HIV Research and Treatment (9 papers), Immunotherapy and Immune Responses (8 papers) and Mesenchymal stem cell research (7 papers). The work is most often cited by research in Hematology (779 citations), Genetics (2.0k citations), Genetics (451 citations), Virology (190 citations) and Oncology (883 citations). Mark E. Metzger has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Robert E. Donahue, Cynthia E. Dunbar, Brian Agricola, John F. Tisdale, Stephanie Sellers, Aylin Bonifacino, Allen E. Krouse, Richard A. Morgan, Jay N. Lozier and Irvin S. Y. Chen. Their work appears in journals such as Blood, Human Gene Therapy, Molecular Therapy, Journal of Virology and Experimental Hematology.
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.