Eric Dobrzynski
Impact in
- Hematology top 5%
- Hemophilia Treatment and Research
- Genetics top 5%
- Virus-based gene therapy research
Papers in
- Genetics 9
- Virus-based gene therapy research 9
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 2
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- Hemophilia Treatment and Research 4
- Co-authors
- Roland W. Herzog (10 shared papers)Federico Mingozzi (6 shared papers)Ou Cao (6 shared papers)Lixin Wang (5 shared papers)Lee Chao (6 shared papers)Julie Chao (6 shared papers)Katherine A. High (2 shared papers)Cindy Wang (3 shared papers)
- Journals
- Blood (3 papers)Human Gene Therapy (2 papers)Journal of Clinical Investigation (1 paper)Gene Therapy (1 paper)Hypertension (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Eric Dobrzynski
20 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 56
- Hematology 360
- Genetics 771
- Immunology 161
- Cellular and Molecular Neuroscience 123
- Genetics 58
Countries citing papers authored by Eric Dobrzynski
This map shows the geographic impact of Eric Dobrzynski'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 Eric Dobrzynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Dobrzynski more than expected).
Fields of papers citing papers by Eric Dobrzynski
This network shows the impact of papers produced by Eric Dobrzynski. 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 Eric Dobrzynski. The network helps show where Eric Dobrzynski may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Dobrzynski, 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 | 2003 | 399 | |
| 2 | 2007 | 199 | |
| 3 | 2004 | 117 | |
| 4 | 2000 | 100 | |
| 5 | 2021 | 95 | |
| 6 | 2006 | 93 | |
| 7 | 2005 | 83 | |
| 8 | 2005 | 83 | |
| 9 | 2005 | 67 | |
| 10 | 2001 | 60 | |
| 11 | 2002 | 52 | |
| 12 | 2016 | 52 | |
| 13 | 2001 | 44 | |
| 14 | 2004 | 44 | |
| 15 | 2007 | 41 | |
| 16 | 2004 | 39 | |
| 17 | 2005 | 37 | |
| 18 | 1999 | 34 | |
| 19 | Modified skin-window technique in cynomolgus macaques (Macaca fasicularis) for assessing neutrophil extravasation. | 2010 | 1 |
| 20 | 2023 | 1 |
About Eric Dobrzynski
Eric Dobrzynski is a scholar working on Genetics, Hematology, Endocrinology, Diabetes and Metabolism, Immunology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Hemophilia Treatment and Research (4 papers), Renin-Angiotensin System Studies (4 papers), Neuropeptides and Animal Physiology (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Hormonal Regulation and Hypertension (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Hematology (360 citations), Genetics (771 citations), Immunology (161 citations), Cellular and Molecular Neuroscience (123 citations) and Genetics (58 citations). Eric Dobrzynski has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Roland W. Herzog, Federico Mingozzi, Ou Cao, Lixin Wang, Lee Chao, Julie Chao, Katherine A. High, Cindy Wang, Yuqin Wang and Jian Hua Liu. Their work appears in journals such as Blood, Human Gene Therapy, Journal of Clinical Investigation, Gene Therapy and Hypertension.
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.