Xiaohong Jin
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 5
- Oncology 12
- Cytokine Signaling Pathways and Interactions 7
- Co-authors
- Jiayuh Lin (7 shared papers)Robert M. Carey (6 shared papers)Helmy M. Siragy (5 shared papers)William M. Burke (2 shared papers)R. Kevin Reynolds (3 shared papers)Peter C. Lucas (5 shared papers)Huey-Jen Lin (1 shared paper)Rebecca Liu (1 shared paper)
- Journals
- Hypertension (3 papers)Oncogene (3 papers)Gynecologic Oncology (2 papers)Cellular and Molecular Biology (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaohong Jin
87 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 319
- Oncology 473
- Immunology 327
- Cardiology and Cardiovascular Medicine 253
- Pathology and Forensic Medicine 180
Countries citing papers authored by Xiaohong Jin
This map shows the geographic impact of Xiaohong Jin'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 Xiaohong Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohong Jin more than expected).
Fields of papers citing papers by Xiaohong Jin
This network shows the impact of papers produced by Xiaohong Jin. 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 Xiaohong Jin. The network helps show where Xiaohong Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohong Jin, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 234 | |
| 2 | 2006 | 140 | |
| 3 | 2011 | 120 | |
| 4 | 2001 | 120 | |
| 5 | 2021 | 97 | |
| 6 | 2002 | 88 | |
| 7 | 2021 | 69 | |
| 8 | 2010 | 65 | |
| 9 | 2020 | 62 | |
| 10 | 1998 | 62 | |
| 11 | 2014 | 58 | |
| 12 | 2015 | 52 | |
| 13 | 2001 | 52 | |
| 14 | 2012 | 44 | |
| 15 | 2004 | 44 | |
| 16 | 2020 | 44 | |
| 17 | Modulation of signal transducer and activator of transcription 3 activities by p53 tumor suppressor in breast cancer cells. | 2002 | 41 |
| 18 | 2015 | 36 | |
| 19 | 2015 | 35 | |
| 20 | 2018 | 35 |
About Xiaohong Jin
Xiaohong Jin is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Physiology and Pulmonary and Respiratory Medicine, having authored 92 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Immune Response and Inflammation (5 papers), Retinal and Macular Surgery (5 papers), NF-κB Signaling Pathways (5 papers), Neuropeptides and Animal Physiology (5 papers), Nitric Oxide and Endothelin Effects (4 papers) and Respiratory Support and Mechanisms (4 papers). The work is most often cited by research in Cancer Research (319 citations), Oncology (473 citations), Immunology (327 citations), Cardiology and Cardiovascular Medicine (253 citations) and Pathology and Forensic Medicine (180 citations). Xiaohong Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jiayuh Lin, Robert M. Carey, Helmy M. Siragy, William M. Burke, R. Kevin Reynolds, Peter C. Lucas, Huey-Jen Lin, Rebecca Liu, Melinda Huang and Linda M. McAllister‐Lucas. Their work appears in journals such as Hypertension, Oncogene, Gynecologic Oncology, Cellular and Molecular Biology and Frontiers in Immunology.
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.