Robert Steele
Impact in
- Hepatology top 0.2%
- Hepatitis C virus research
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 9
- Ubiquitin and proteasome pathways 8
- RNA modifications and cancer 8
-
- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 10
- Co-authors
- Ratna B. Ray (64 shared papers)Asish K. Ghosh (22 shared papers)Keith Meyer (10 shared papers)Ranjit Ray (14 shared papers)Ranjit Ray (12 shared papers)Shubham Shrivastava (11 shared papers)Ranjit Ray (10 shared papers)Naoshad Muhammad (6 shared papers)
- Journals
- Journal of Virology (13 papers)Journal of Biological Chemistry (8 papers)Cancer Research (6 papers)Hepatology (5 papers)Virus Research (4 papers)
- Partner nations
- United StatesSpainBelgium
In The Last Decade
Robert Steele
82 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 122
- Hepatology 1.8k
- Cancer Research 1.1k
- Epidemiology 1.6k
- Immunology 717
- Molecular Biology 2.0k
Countries citing papers authored by Robert Steele
This map shows the geographic impact of Robert Steele'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 Robert Steele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Steele more than expected).
Fields of papers citing papers by Robert Steele
This network shows the impact of papers produced by Robert Steele. 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 Robert Steele. The network helps show where Robert Steele may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Steele, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 237 | |
| 2 | 2001 | 228 | |
| 3 | 1995 | 227 | |
| 4 | 1998 | 206 | |
| 5 | 2010 | 177 | |
| 6 | 2012 | 172 | |
| 7 | 2010 | 160 | |
| 8 | 1999 | 151 | |
| 9 | 2012 | 140 | |
| 10 | 1998 | 136 | |
| 11 | 2011 | 133 | |
| 12 | 2016 | 128 | |
| 13 | 2015 | 121 | |
| 14 | 2010 | 115 | |
| 15 | 2011 | 110 | |
| 16 | 2017 | 106 | |
| 17 | 2016 | 101 | |
| 18 | 2002 | 97 | |
| 19 | 2013 | 93 | |
| 20 | 2012 | 86 |
About Robert Steele
Robert Steele is a scholar working on Molecular Biology, Cancer Research, Hepatology, Epidemiology and Oncology, having authored 83 papers that have together received 5.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (22 papers), Hepatitis B Virus Studies (13 papers), Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (10 papers), interferon and immune responses (9 papers), Circular RNAs in diseases (9 papers), Ubiquitin and proteasome pathways (8 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Hepatology (1.8k citations), Cancer Research (1.1k citations), Epidemiology (1.6k citations), Immunology (717 citations) and Molecular Biology (2.0k citations). Robert Steele has collaborated with scholars based in United States, Spain and Belgium. Frequent co-authors include Ratna B. Ray, Asish K. Ghosh, Keith Meyer, Ranjit Ray, Ranjit Ray, Shubham Shrivastava, Ranjit Ray, Naoshad Muhammad, Mainak Majumder and Amit Raychoudhuri. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Cancer Research, Hepatology and Virus Research.
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.