Jing Jin
Impact in
- Oncology top 5%
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Immunotherapy and Biomarkers
- Drug Transport and Resistance Mechanisms
- Colorectal Cancer Surgical Treatments
- Cancer Cells and Metastasis
- Lung Cancer Research Studies
- Immunology top 5%
- Immune Response and Inflammation
Papers in
- Oncology 39
- Colorectal Cancer Surgical Treatments 9
- Inflammatory Biomarkers in Disease Prognosis 9
- Drug Transport and Resistance Mechanisms 6
- Global Cancer Incidence and Screening 4
- Cancer Immunotherapy and Biomarkers 4
- Neutropenia and Cancer Infections 3
- Immunology 11
- Co-authors
- Chaofeng Han (3 shared papers)Xuetao Cao (3 shared papers)Nan Li (2 shared papers)Sheng Xu (1 shared paper)Geng-Tao Liu (3 shared papers)Dan Liu (6 shared papers)Hua Sun (2 shared papers)Weimin Li (4 shared papers)
- Journals
- PLoS ONE (3 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)Frontiers in Oncology (2 papers)Cell Death and Disease (2 papers)Cancer Chemotherapy and Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jing Jin
78 papers receiving 2k citations
Peers
Comparison fields: 5 of 93
- Oncology 690
- Immunology 367
- Genetics 82
- Immunology and Allergy 45
- Cancer Research 103
Countries citing papers authored by Jing Jin
This map shows the geographic impact of Jing 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 Jing Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Jin more than expected).
Fields of papers citing papers by Jing Jin
This network shows the impact of papers produced by Jing 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 Jing Jin. The network helps show where Jing Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 389 | |
| 2 | 2019 | 92 | |
| 3 | 2008 | 76 | |
| 4 | 2020 | 74 | |
| 5 | 2018 | 69 | |
| 6 | 2004 | 68 | |
| 7 | 2020 | 67 | |
| 8 | 2012 | 65 | |
| 9 | 2017 | 57 | |
| 10 | 2016 | 55 | |
| 11 | 2020 | 50 | |
| 12 | 2016 | 45 | |
| 13 | 2019 | 45 | |
| 14 | 2018 | 44 | |
| 15 | 2017 | 42 | |
| 16 | 2018 | 42 | |
| 17 | 2015 | 41 | |
| 18 | 2018 | 38 | |
| 19 | 2021 | 34 | |
| 20 | 2017 | 33 |
About Jing Jin
Jing Jin is a scholar working on Oncology, Immunology, Genetics, Reproductive Medicine and Biochemistry, having authored 81 papers that have together received 2k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (9 papers), Inflammatory Biomarkers in Disease Prognosis (9 papers), Drug Transport and Resistance Mechanisms (6 papers), Global Cancer Incidence and Screening (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Glioma Diagnosis and Treatment (4 papers), Neutropenia and Cancer Infections (3 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Oncology (690 citations), Immunology (367 citations), Genetics (82 citations), Immunology and Allergy (45 citations) and Cancer Research (103 citations). Jing Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chaofeng Han, Xuetao Cao, Nan Li, Sheng Xu, Geng-Tao Liu, Dan Liu, Hua Sun, Weimin Li, Lan Yang and Weimin Li. Their work appears in journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics, Frontiers in Oncology, Cell Death and Disease and Cancer Chemotherapy and Pharmacology.
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.