Robert Steele

6.2k citations
82 papers · 5.3k · h-index 44

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Hepatitis C virus research 22
    • Cancer-related molecular mechanisms research 11
    • MicroRNA in disease regulation 10

Robert Steele

82 papers receiving 5.2k citations

Peers

Robert Steele
Comparison fields: 5 of 122
  • Hepatology 1.8k
  • Cancer Research 1.1k
  • Epidemiology 1.6k
  • Immunology 717
  • Molecular Biology 2.1k
Replace Keigo Machida with:
Keigo Machida United States
Stephanie T. Shi United States
Chau‐Ting Yeh Taiwan
Mark A. Feitelson United States
Tatsuo Kanda Japan
Tatsuya Kanto Japan
Kazushi Sugimoto Japan
Sen‐Yung Hsieh Taiwan
Junqi Niu China
Katsuya Shiraki Japan
Robert Steele relative to Keigo Machida United States Keigo Machida's profile →
Citations per field
00.5×1.5×2.2×
Keigo Machida · 1×
Citations per year

Countries citing papers authored by Robert Steele

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Robert Steele Line = papers co-authored together Robert Steele links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997235
2 1995229
3 2001226
4 1998208
5 2010179
6 2012173
7 2010162
8 1999151
9 2012146
10 1998137
11 2011132
12 2016130
13 2015125
14 2010116
15 2011111
16 2017106
17 2016104
18 201396
19 200295
20 201285

About Robert Steele

Robert Steele is a scholar working on Hepatology, Cancer Research, Molecular Biology, Oncology and Immunology, having authored 82 papers that have together received 5.3k 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 (11 papers), MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (9 papers), interferon and immune responses (9 papers), Ubiquitin and proteasome pathways (8 papers) and RNA modifications and cancer (7 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 (2.1k citations). Robert Steele has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Ratna B. Ray, Asish K. Ghosh, Keith Meyer, Ranjit Ray, Ranjit Ray, Shubham Shrivastava, RANJIT KUMAR RAY, Naoshad Muhammad, Mainak Majumder and Amit Raychoudhuri. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Hepatology, Virology and Cancer 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.

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