Mark E.T. Penfold
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- interferon and immune responses
- Immune Cell Function and Interaction
- Oncology top 1%
- Chemokine receptors and signaling
Papers in
- Immunology 20
- Immunotherapy and Immune Responses 9
- interferon and immune responses 5
- Immune Cell Function and Interaction 4
- Virology 3
- HIV Research and Treatment 2
- Co-authors
- Thomas J. SchallYu WangZhenhua MiaoEdward S. MocarskiAnthony L. CunninghamK WrightDan R. LittmanCalvin J. Kuo
- Journals
- Journal of Virology (4 papers)Virology (3 papers)PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Mark E.T. Penfold
31 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 2.0k
- Oncology 1.8k
- Epidemiology 1.3k
- Hepatology 282
- Immunology and Allergy 212
Countries citing papers authored by Mark E.T. Penfold
This map shows the geographic impact of Mark E.T. Penfold'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 Mark E.T. Penfold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E.T. Penfold more than expected).
Fields of papers citing papers by Mark E.T. Penfold
This network shows the impact of papers produced by Mark E.T. Penfold. 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 Mark E.T. Penfold. The network helps show where Mark E.T. Penfold may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark E.T. Penfold, 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 | 2018 | 1 | |
| 2 | 2013 | 128 | |
| 3 | Divergent angiocrine signals from vascular niche balance liver regeneration and fibrosis Hit paper breakdown → | 2013 | 482 |
| 4 | 2013 | 11 | |
| 5 | 2013 | 257 | |
| 6 | 2012 | 78 | |
| 7 | 2011 | 57 | |
| 8 | 2010 | 239 | |
| 9 | 2010 | 130 | |
| 10 | 2010 | 34 | |
| 11 | 2010 | 72 | |
| 12 | 2010 | 64 | |
| 13 | 2009 | 245 | |
| 14 | 2008 | 1 | |
| 15 | 2007 | 18 | |
| 16 | 2003 | 17 | |
| 17 | 2002 | 245 | |
| 18 | 2001 | 148 | |
| 19 | 1997 | 97 | |
| 20 | 1996 | 75 |
About Mark E.T. Penfold
Mark E.T. Penfold is a scholar working on Immunology, Virology, Oncology, Epidemiology and Genetics, having authored 31 papers that have together received 4.2k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (15 papers), Immunotherapy and Immune Responses (9 papers), Cytomegalovirus and herpesvirus research (9 papers), Herpesvirus Infections and Treatments (7 papers), interferon and immune responses (5 papers), Immune Cell Function and Interaction (4 papers), HIV Research and Treatment (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (2.0k citations), Oncology (1.8k citations), Epidemiology (1.3k citations), Hepatology (282 citations) and Immunology and Allergy (212 citations). Mark E.T. Penfold has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Thomas J. Schall, Yu Wang, Zhenhua Miao, Edward S. Mocarski, Anthony L. Cunningham, K Wright, Dan R. Littman, Calvin J. Kuo, Maureen Howard and Kevin Wei. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, Proceedings of the National Academy of Sciences and The Journal of Immunology.
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.