David M. Mahvi
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis 25
- Biophysics top 0.5%
- Biomedical Engineering top 0.5%
- Ultrasound and Hyperthermia Applications 24
- Biotechnology top 1%
- Microbial Inactivation Methods 12
- Oncology top 2%
- CAR-T cell therapy research 11
- Pancreatic and Hepatic Oncology Research 10
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- Immunotherapy and Immune Responses 11
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- Virus-based gene therapy research 8
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- Heat shock proteins research 7
- Co-authors
- John G. WebsterFred T. LeeDieter HaemmerichAndrew S. WrightMark ConverseThomas F. WarnerF. Kristian StormDeshan Yang
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cancer (1 paper)
- Partner nations
- United StatesThailandTaiwan
In The Last Decade
David M. Mahvi
124 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Hepatology 1.6k
- Biophysics 342
- Biomedical Engineering 2.5k
- Biotechnology 465
- Oncology 1.4k
Countries citing papers authored by David M. Mahvi
This map shows the geographic impact of David M. Mahvi'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 M. Mahvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Mahvi more than expected).
Fields of papers citing papers by David M. Mahvi
This network shows the impact of papers produced by David M. Mahvi. 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 M. Mahvi. The network helps show where David M. Mahvi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David M. Mahvi, 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 | 2020 | 21 | |
| 2 | 2009 | 5 | |
| 3 | 2009 | 22 | |
| 4 | 2008 | 86 | |
| 5 | 2007 | 188 | |
| 6 | 2004 | 35 | |
| 7 | 2003 | 252 | |
| 8 | 2003 | 173 | |
| 9 | 2002 | 93 | |
| 10 | 2001 | 197 | |
| 11 | 2001 | 199 | |
| 12 | 1998 | 34 | |
| 13 | 1997 | 111 | |
| 14 | 1996 | 10 | |
| 15 | 1996 | 71 | |
| 16 | 1996 | 32 | |
| 17 | Lack of correlation between hsp-27 expression and tumor grade or nodal status in infiltrating ductal carcinoma of the breast | 1995 | 1 |
| 18 | Hsp-27 is not expressed and has no prognostic significance in rectal adenocarcinoma | 1993 | 4 |
| 19 | 1992 | 15 | |
| 20 | 1988 | 11 |
About David M. Mahvi
David M. Mahvi is a scholar working on Hepatology, Biotechnology and Oncology, having authored 128 papers that have together received 7.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (25 papers), Ultrasound and Hyperthermia Applications (24 papers), Microbial Inactivation Methods (12 papers), Immunotherapy and Immune Responses (11 papers), CAR-T cell therapy research (11 papers), Pancreatic and Hepatic Oncology Research (10 papers), Virus-based gene therapy research (8 papers) and Heat shock proteins research (7 papers). The work is most often cited by research in Hepatology (1.6k citations), Biophysics (342 citations) and Biomedical Engineering (2.5k citations). David M. Mahvi has collaborated with scholars based in United States, Thailand and Taiwan. Frequent co-authors include John G. Webster, Fred T. Lee, Dieter Haemmerich, Andrew S. Wright, Mark Converse, Thomas F. Warner, F. Kristian Storm, Deshan Yang, Lisa A. Sampson and S. Tungjitkusolmun. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Cancer.
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.