David A. Hess
- Genetics top 1%
- Mesenchymal stem cell research 34
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 13
- Oncology top 2%
- Cancer Cells and Metastasis 9
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 17
- Molecular Biology top 5%
- Angiogenesis and VEGF in Cancer 18
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- Pancreatic function and diabetes 18
- Tissue Engineering and Regenerative Medicine 9
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- Diabetes Treatment and Management 8
- Co-authors
- Jan A. NoltaSubodh VermaMichael H. CreerLouisa WirthlinGillian I. BellPhillip E. HerrbrichMickie BhatiaTimothy P. Craft
- Cited by
- GeneticsCancer ResearchOncology
- Partner nations
- CanadaUnited StatesIreland
In The Last Decade
David A. Hess
121 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 130
- Genetics 847
- Cancer Research 659
- Oncology 1.1k
- Hematology 455
- Molecular Biology 1.8k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 8 | |
| 7 | 2021 | 66 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 15 | |
| 11 | 2018 | 22 | |
| 12 | 2017 | 31 | |
| 13 | 2017 | 5 | |
| 14 | 2016 | 10 | |
| 15 | 2015 | 52 | |
| 16 | 2013 | 11 | |
| 17 | 2012 | 34 | |
| 18 | 2012 | 31 | |
| 19 | 2011 | 54 | |
| 20 | 2008 | 416 |
About David A. Hess
David A. Hess is a scholar working on Genetics, Hematology, Immunology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 125 papers that have together received 4.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (34 papers), Angiogenesis and VEGF in Cancer (18 papers), Pancreatic function and diabetes (18 papers), Hematopoietic Stem Cell Transplantation (17 papers), Cancer, Hypoxia, and Metabolism (13 papers), Tissue Engineering and Regenerative Medicine (9 papers), Cancer Cells and Metastasis (9 papers) and Diabetes Treatment and Management (8 papers). The work is most often cited by research in Genetics (847 citations), Cancer Research (659 citations), Oncology (1.1k citations), Hematology (455 citations) and Molecular Biology (1.8k 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, Gillian I. Bell, Phillip E. Herrbrich, Mickie Bhatia, Timothy P. Craft, Alison L. Allan and David Goodale. Their work appears in journals such as Blood, Stem Cells, Stem Cells and Development, JACC Basic to Translational Science and Diabetologia.
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.