Caining Jin
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 18
- Ubiquitin and proteasome pathways 4
- RNA modifications and cancer 4
- Protein Kinase Regulation and GTPase Signaling 2
- Oncology 13
- Cancer Cells and Metastasis 3
- Cancer-related Molecular Pathways 2
- HER2/EGFR in Cancer Research 2
- Co-authors
- Donald Küfe (23 shared papers)Hasan Rajabi (17 shared papers)Maroof Alam (9 shared papers)Rehan Ahmad (6 shared papers)Akriti Kharbanda (5 shared papers)Kwok‐Kin Wong (6 shared papers)Ashujit Tagde (5 shared papers)Audrey Bouillez (4 shared papers)
- Journals
- Cancer Research (4 papers)Oncotarget (2 papers)JCI Insight (2 papers)Journal of Biological Chemistry (2 papers)Molecular Cancer Research (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Caining Jin
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Oncology 458
- Cancer Research 247
- Molecular Biology 861
- Immunology 251
- Radiology, Nuclear Medicine and Imaging 126
Countries citing papers authored by Caining Jin
This map shows the geographic impact of Caining 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 Caining Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caining Jin more than expected).
Fields of papers citing papers by Caining Jin
This network shows the impact of papers produced by Caining 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 Caining Jin. The network helps show where Caining Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Caining 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 185 | |
| 2 | 2016 | 78 | |
| 3 | 2010 | 71 | |
| 4 | 2012 | 66 | |
| 5 | 2014 | 60 | |
| 6 | 2014 | 60 | |
| 7 | 2014 | 58 | |
| 8 | 2018 | 57 | |
| 9 | 2020 | 51 | |
| 10 | 2017 | 50 | |
| 11 | 2019 | 48 | |
| 12 | 2005 | 48 | |
| 13 | 2013 | 48 | |
| 14 | 2019 | 47 | |
| 15 | 2012 | 46 | |
| 16 | 2018 | 44 | |
| 17 | 2016 | 40 | |
| 18 | 2006 | 36 | |
| 19 | 2019 | 34 | |
| 20 | 2011 | 33 |
About Caining Jin
Caining Jin is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Cancer Research, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (18 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Ubiquitin and proteasome pathways (4 papers), RNA modifications and cancer (4 papers), Cancer Cells and Metastasis (3 papers), Cancer-related Molecular Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Oncology (458 citations), Cancer Research (247 citations), Molecular Biology (861 citations), Immunology (251 citations) and Radiology, Nuclear Medicine and Imaging (126 citations). Caining Jin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Donald Küfe, Hasan Rajabi, Maroof Alam, Rehan Ahmad, Akriti Kharbanda, Kwok‐Kin Wong, Ashujit Tagde, Audrey Bouillez, Yozo Suzuki and Masayuki Hiraki. Their work appears in journals such as Cancer Research, Oncotarget, JCI Insight, Journal of Biological Chemistry and Molecular 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.