Brad E. Hoffman
Impact in
- Genetics top 2%
- Virus-based gene therapy research
- Hematology top 5%
- Hemophilia Treatment and Research
Papers in
- Genetics 19
- Virus-based gene therapy research 19
- Hematology 11
- Hemophilia Treatment and Research 11
- Co-authors
- Roland W. Herzog (23 shared papers)David M. Markusic (8 shared papers)Cox Terhorst (10 shared papers)Geoffrey D. Keeler (8 shared papers)Sushrusha Nayak (6 shared papers)Emilia L. Oleszak (3 shared papers)Ou Cao (5 shared papers)John W. Prineas (1 shared paper)
- Journals
- Molecular Therapy (8 papers)Cellular Immunology (3 papers)Molecular Therapy — Methods & Clinical Development (3 papers)Frontiers in Microbiology (2 papers)Blood (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Brad E. Hoffman
35 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 64
- Genetics 946
- Hematology 379
- Pathology and Forensic Medicine 355
- Biotechnology 124
- Immunology 225
Countries citing papers authored by Brad E. Hoffman
This map shows the geographic impact of Brad E. Hoffman'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 Brad E. Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad E. Hoffman more than expected).
Fields of papers citing papers by Brad E. Hoffman
This network shows the impact of papers produced by Brad E. Hoffman. 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 Brad E. Hoffman. The network helps show where Brad E. Hoffman may publish in the future.
Co-authors
The 25 scholars most cited alongside Brad E. Hoffman, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 353 | |
| 2 | 2010 | 130 | |
| 3 | 2010 | 116 | |
| 4 | 2017 | 111 | |
| 5 | 2013 | 107 | |
| 6 | 2009 | 104 | |
| 7 | 2016 | 103 | |
| 8 | 2009 | 87 | |
| 9 | 2017 | 85 | |
| 10 | 2009 | 80 | |
| 11 | 2017 | 69 | |
| 12 | 2019 | 66 | |
| 13 | 2017 | 64 | |
| 14 | 2011 | 61 | |
| 15 | 2014 | 61 | |
| 16 | 2009 | 60 | |
| 17 | 2016 | 60 | |
| 18 | 2015 | 57 | |
| 19 | 2009 | 50 | |
| 20 | 2015 | 49 |
About Brad E. Hoffman
Brad E. Hoffman is a scholar working on Genetics, Hematology, Immunology, Pathology and Forensic Medicine and Biotechnology, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (19 papers), Hemophilia Treatment and Research (11 papers), Multiple Sclerosis Research Studies (6 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (3 papers), RNA Interference and Gene Delivery (1 paper), Protease and Inhibitor Mechanisms (1 paper) and Transgenic Plants and Applications (1 paper). The work is most often cited by research in Genetics (946 citations), Hematology (379 citations), Pathology and Forensic Medicine (355 citations), Biotechnology (124 citations) and Immunology (225 citations). Brad E. Hoffman has collaborated with scholars based in United States, China and India. Frequent co-authors include Roland W. Herzog, David M. Markusic, Cox Terhorst, Geoffrey D. Keeler, Sushrusha Nayak, Emilia L. Oleszak, Ou Cao, John W. Prineas, B. Paul Morgan and Eun‐Sook Cho. Their work appears in journals such as Molecular Therapy, Cellular Immunology, Molecular Therapy — Methods & Clinical Development, Frontiers in Microbiology and Blood.
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.