Guoren Deng
Impact in
- Cancer Research top 0.2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Pathology and Forensic Medicine top 0.5%
- Genetic factors in colorectal cancer
Papers in
-
- Cancer-related molecular mechanisms research 42
- MicroRNA in disease regulation 39
- Cancer Genomics and Diagnostics 14
-
- Genetic factors in colorectal cancer 28
- Co-authors
- Rajvir DahiyaVarahram ShahryariShahana MajidSoichiro YamamuraSharanjot SainiYuichiro TanakaYoung S. KimHiroshi Hirata
- Journals
- Cancer Research (19 papers)PLoS ONE (10 papers)International Journal of Cancer (9 papers)Oncotarget (8 papers)Clinical Cancer Research (5 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Guoren Deng
114 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 3.5k
- Pathology and Forensic Medicine 1.5k
- Molecular Biology 4.5k
- Oncology 1.7k
- Pulmonary and Respiratory Medicine 703
Countries citing papers authored by Guoren Deng
This map shows the geographic impact of Guoren Deng'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 Guoren Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoren Deng more than expected).
Fields of papers citing papers by Guoren Deng
This network shows the impact of papers produced by Guoren Deng. 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 Guoren Deng. The network helps show where Guoren Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoren Deng, 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 | 2019 | 22 | |
| 2 | 2018 | 82 | |
| 3 | 2018 | 44 | |
| 4 | 2016 | 5 | |
| 5 | Long Noncoding RNA MALAT1 Promotes Aggressive Renal Cell Carcinoma through Ezh2 and Interacts with miR-205 Hit paper breakdown → | 2015 | 471 |
| 6 | 2015 | 41 | |
| 7 | 2014 | 19 | |
| 8 | 2013 | 20 | |
| 9 | 2012 | 103 | |
| 10 | 2012 | 96 | |
| 11 | 2012 | 125 | |
| 12 | 2011 | 173 | |
| 13 | 2011 | 120 | |
| 14 | 2010 | 227 | |
| 15 | 2008 | 106 | |
| 16 | 2008 | 10 | |
| 17 | 2005 | 2 | |
| 18 | 1997 | 67 | |
| 19 | 1996 | 450 | |
| 20 | 1983 | 103 |
About Guoren Deng
Guoren Deng is a scholar working on Cancer Research, Pathology and Forensic Medicine, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 117 papers that have together received 6.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (42 papers), MicroRNA in disease regulation (39 papers), Genetic factors in colorectal cancer (28 papers), Circular RNAs in diseases (26 papers), Epigenetics and DNA Methylation (20 papers), Cancer Genomics and Diagnostics (14 papers), RNA modifications and cancer (11 papers) and RNA Research and Splicing (10 papers). The work is most often cited by research in Cancer Research (3.5k citations), Pathology and Forensic Medicine (1.5k citations), Molecular Biology (4.5k citations), Oncology (1.7k citations) and Pulmonary and Respiratory Medicine (703 citations). Guoren Deng has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Rajvir Dahiya, Varahram Shahryari, Shahana Majid, Soichiro Yamamura, Sharanjot Saini, Yuichiro Tanaka, Young S. Kim, Hiroshi Hirata, Sanjay Kakar and Z. Laura Tabatabai. Their work appears in journals such as Cancer Research, PLoS ONE, International Journal of Cancer, Oncotarget and Clinical 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.