Mark S. Dooner
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 40
- Hematopoietic Stem Cell Transplantation 38
- Genetics 36
- Mesenchymal stem cell research 34
- Co-authors
- Peter J. Quesenberry (88 shared papers)Jason M. Aliotta (33 shared papers)Susan K. Nilsson (10 shared papers)Mandy G. Pereira (29 shared papers)Laura R. Goldberg (28 shared papers)Gerald A. Colvin (31 shared papers)Pamela Sue Becker (9 shared papers)Sicheng Wen (23 shared papers)
- Journals
- Blood (15 papers)Journal of Cellular Physiology (9 papers)Experimental Hematology (9 papers)Stem Cells and Development (9 papers)Leukemia (5 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Mark S. Dooner
103 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 122
- Genetics 1.0k
- Hematology 854
- Cancer Research 793
- Molecular Biology 2.0k
- Immunology 466
Countries citing papers authored by Mark S. Dooner
This map shows the geographic impact of Mark S. Dooner'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 S. Dooner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Dooner more than expected).
Fields of papers citing papers by Mark S. Dooner
This network shows the impact of papers produced by Mark S. Dooner. 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 S. Dooner. The network helps show where Mark S. Dooner may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark S. Dooner, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 220 | |
| 2 | 2013 | 191 | |
| 3 | 2010 | 184 | |
| 4 | 2016 | 179 | |
| 5 | 2007 | 157 | |
| 6 | 1997 | 151 | |
| 7 | 1998 | 151 | |
| 8 | 1999 | 137 | |
| 9 | 1999 | 128 | |
| 10 | 2004 | 85 | |
| 11 | 2010 | 78 | |
| 12 | 1997 | 77 | |
| 13 | 2014 | 68 | |
| 14 | 2019 | 68 | |
| 15 | 2003 | 66 | |
| 16 | 2004 | 65 | |
| 17 | 2019 | 55 | |
| 18 | 2006 | 54 | |
| 19 | High levels of engraftment with a single infusion of bone marrow cells into normal unprepared mice. | 1995 | 51 |
| 20 | 2002 | 50 |
About Mark S. Dooner
Mark S. Dooner is a scholar working on Hematology, Genetics, Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research, having authored 105 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (38 papers), Mesenchymal stem cell research (34 papers), Extracellular vesicles in disease (23 papers), Neonatal Respiratory Health Research (20 papers), Pluripotent Stem Cells Research (17 papers), MicroRNA in disease regulation (12 papers), Pulmonary Hypertension Research and Treatments (9 papers) and Cancer Cells and Metastasis (6 papers). The work is most often cited by research in Genetics (1.0k citations), Hematology (854 citations), Cancer Research (793 citations), Molecular Biology (2.0k citations) and Immunology (466 citations). Mark S. Dooner has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Peter J. Quesenberry, Jason M. Aliotta, Susan K. Nilsson, Mandy G. Pereira, Laura R. Goldberg, Gerald A. Colvin, Pamela Sue Becker, Sicheng Wen, Michael Del Tatto and Gerri J. Dooner. Their work appears in journals such as Blood, Journal of Cellular Physiology, Experimental Hematology, Stem Cells and Development and Leukemia.
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.