David A. Hess
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Angiogenesis and VEGF in Cancer 16
- Genetics 38
- Mesenchymal stem cell research 35
- Co-authors
- Jan A. Nolta (24 shared papers)Subodh Verma (26 shared papers)Michael H. Creer (7 shared papers)Louisa Wirthlin (11 shared papers)Phillip E. Herrbrich (5 shared papers)Gillian I. Bell (28 shared papers)Timothy P. Craft (6 shared papers)Mickie Bhatia (5 shared papers)
- Journals
- Blood (19 papers)Stem Cells (12 papers)Stem Cells and Development (7 papers)The FASEB Journal (3 papers)American Journal of Physiology-Heart and Circulatory Physiology (3 papers)
- Partner nations
- CanadaUnited StatesIreland
In The Last Decade
David A. Hess
124 papers receiving 4.4k citations
David A. Hess's Hit Papers
Peers
Comparison fields: 5 of 130
- Genetics 746
- Cancer Research 607
- Oncology 1.1k
- Hematology 408
- Molecular Biology 1.7k
Countries citing papers authored by David A. Hess
This map shows the geographic impact of David A. Hess'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 A. Hess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Hess more than expected).
Fields of papers citing papers by David A. Hess
This network shows the impact of papers produced by David A. Hess. 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 A. Hess. The network helps show where David A. Hess may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Hess, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bone marrow–derived stem cells initiate pancreatic regeneration Hit paper breakdown → | 2003 | 508 |
| 2 | 2008 | 441 | |
| 3 | 2004 | 286 | |
| 4 | 2005 | 237 | |
| 5 | 2017 | 154 | |
| 6 | 2018 | 133 | |
| 7 | 2009 | 130 | |
| 8 | 2016 | 108 | |
| 9 | 2000 | 102 | |
| 10 | 2020 | 89 | |
| 11 | 2021 | 74 | |
| 12 | 2007 | 74 | |
| 13 | 2007 | 69 | |
| 14 | 2007 | 61 | |
| 15 | 2002 | 59 | |
| 16 | 2011 | 59 | |
| 17 | 2007 | 58 | |
| 18 | 1999 | 58 | |
| 19 | 2018 | 56 | |
| 20 | 2015 | 54 |
About David A. Hess
David A. Hess is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Hematology, having authored 129 papers that have together received 4.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (35 papers), Pancreatic function and diabetes (18 papers), Hematopoietic Stem Cell Transplantation (16 papers), Angiogenesis and VEGF in Cancer (16 papers), Cancer, Hypoxia, and Metabolism (14 papers), Cancer Cells and Metastasis (10 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Genetics (746 citations), Cancer Research (607 citations), Oncology (1.1k citations), Hematology (408 citations) and Molecular Biology (1.7k citations). David A. Hess has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Jan A. Nolta, Subodh Verma, Michael H. Creer, Louisa Wirthlin, Phillip E. Herrbrich, Gillian I. Bell, Timothy P. Craft, Mickie Bhatia, Alison L. Allan and Carl O. Postenka. Their work appears in journals such as Blood, Stem Cells, Stem Cells and Development, The FASEB Journal and American Journal of Physiology-Heart and Circulatory Physiology.
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.