Feng Jiang
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Aging top 0.5%
Papers in
-
- Cancer-related molecular mechanisms research 35
- MicroRNA in disease regulation 34
- Cancer Genomics and Diagnostics 10
-
- RNA modifications and cancer 31
- Circular RNAs in diseases 8
- Co-authors
- Sanford A. StassNevins W. ToddRuth L. KatzJun ShenMaria GuarneraLei YuQixin LengHong‐Bin Fang
- Journals
- Clinical Cancer Research (5 papers)International Journal of Cancer (5 papers)Translational Oncology (5 papers)Laboratory Investigation (4 papers)Oncogene (4 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Feng Jiang
128 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cancer Research 3.9k
- Aging 356
- Molecular Biology 5.7k
- Oncology 1.8k
- Pulmonary and Respiratory Medicine 1.2k
Countries citing papers authored by Feng Jiang
This map shows the geographic impact of Feng Jiang'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 Feng Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Jiang more than expected).
Fields of papers citing papers by Feng Jiang
This network shows the impact of papers produced by Feng Jiang. 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 Feng Jiang. The network helps show where Feng Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng Jiang, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 91 | |
| 4 | 2023 | 12 | |
| 5 | Aberrant Expression of Citrate Synthase is Linked to Disease Progression and Clinical Outcome in Prostate Cancer | 2020 | 3 |
| 6 | 2020 | 10 | |
| 7 | 2018 | 12 | |
| 8 | 2018 | 33 | |
| 9 | 2014 | 75 | |
| 10 | 2014 | 72 | |
| 11 | 2013 | 82 | |
| 12 | 2011 | 79 | |
| 13 | 2010 | 37 | |
| 14 | 2010 | 204 | |
| 15 | Aldehyde Dehydrogenase 1 Is a Tumor Stem Cell-Associated Marker in Lung Cancer Hit paper breakdown → | 2009 | 647 |
| 16 | 2008 | 23 | |
| 17 | 2007 | 5 | |
| 18 | 2006 | 13 | |
| 19 | 2005 | 445 | |
| 20 | 2005 | 52 |
About Feng Jiang
Feng Jiang is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 134 papers that have together received 8.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (35 papers), MicroRNA in disease regulation (34 papers), RNA modifications and cancer (31 papers), Cancer Genomics and Diagnostics (10 papers), Estrogen and related hormone effects (8 papers), Lung Cancer Diagnosis and Treatment (8 papers), Circular RNAs in diseases (8 papers) and Cancer Cells and Metastasis (7 papers). The work is most often cited by research in Cancer Research (3.9k citations), Aging (356 citations), Molecular Biology (5.7k citations), Oncology (1.8k citations) and Pulmonary and Respiratory Medicine (1.2k citations). Feng Jiang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Sanford A. Stass, Nevins W. Todd, Ruth L. Katz, Jun Shen, Maria Guarnera, Lei Yu, Qixin Leng, Hong‐Bin Fang, Yun Su and Jipei Liao. Their work appears in journals such as Clinical Cancer Research, International Journal of Cancer, Translational Oncology, 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.