C. Robert Fields
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Wnt/β-catenin signaling in development and cancer
- Histone Deacetylase Inhibitors Research
- Genomics and Chromatin Dynamics
Papers in ⓘ
-
- Chronic Kidney Disease and Diabetes 1
- Co-authors
- Keith D. Robertson (8 shared papers)Sheng Zhong (3 shared papers)Tae‐You Kim (2 shared papers)Qian Tao (2 shared papers)Amber L. Delmas (3 shared papers)Kevin D. Brown (3 shared papers)Lingbao Ai (3 shared papers)Bilian Jin (2 shared papers)
- Journals
- Cancer Research (3 papers)Molecular Cancer Research (1 paper)Carcinogenesis (1 paper)Laboratory Investigation (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesHong KongSouth Korea
In The Last Decade
C. Robert Fields
9 papers receiving 856 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 175
- Molecular Biology 740
- Genetics 171
- Oncology 93
- Genetics 34
Countries citing papers authored by C. Robert Fields
This map shows the geographic impact of C. Robert Fields'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 C. Robert Fields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Robert Fields more than expected).
Fields of papers citing papers by C. Robert Fields
This network shows the impact of papers produced by C. Robert Fields. 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 C. Robert Fields. The network helps show where C. Robert Fields may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Robert Fields, 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 | 2007 | 181 | |
| 2 | 2006 | 154 | |
| 3 | 2006 | 141 | |
| 4 | 2006 | 101 | |
| 5 | 2009 | 90 | |
| 6 | 2009 | 77 | |
| 7 | 2006 | 71 | |
| 8 | 2008 | 48 | |
| 9 | Thoughtful Creation of Online Course Content: Implications of SCORM for Educators | 2003 | 2 |
About C. Robert Fields
C. Robert Fields is a scholar working on Computer Science Applications, Nephrology, Cancer Research, Neurology and Molecular Biology, having authored 9 papers that have together received 865 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), RNA modifications and cancer (5 papers), Cancer-related gene regulation (4 papers), Chronic Kidney Disease and Diabetes (1 paper), Retinal Diseases and Treatments (1 paper), Cancer-related molecular mechanisms research (1 paper), MicroRNA in disease regulation (1 paper) and Barrier Structure and Function Studies (1 paper). The work is most often cited by research in Cancer Research (175 citations), Molecular Biology (740 citations), Genetics (171 citations), Oncology (93 citations) and Genetics (34 citations). C. Robert Fields has collaborated with scholars based in United States, Hong Kong and South Korea. Frequent co-authors include Keith D. Robertson, Sheng Zhong, Tae‐You Kim, Qian Tao, Amber L. Delmas, Kevin D. Brown, Lingbao Ai, Bilian Jin, Jeong Hoon Kim and Yuan‐Xiang Pan. Their work appears in journals such as Cancer Research, Molecular Cancer Research, Carcinogenesis, Laboratory Investigation and Oncogene.
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.