Jun Ji
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Neuroendocrine Tumor Research Advances
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
-
- Glycosylation and Glycoproteins Research 9
- RNA modifications and cancer 2
- Surgery 8
- Cholangiocarcinoma and Gallbladder Cancer Studies 7
- Co-authors
- Chunfang Gao (12 shared papers)Xing Gu (11 shared papers)Meng Fang (8 shared papers)Yunpeng Zhao (4 shared papers)Yunpeng Zhao (2 shared papers)Mengmeng Wang (7 shared papers)Feiguo Zhou (2 shared papers)Hao Wang (2 shared papers)
- Journals
- PLoS ONE (4 papers)Journal of Clinical Laboratory Analysis (2 papers)Electrophoresis (2 papers)Acta Pharmacologica Sinica (1 paper)Journal of Leukocyte Biology (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Jun Ji
28 papers receiving 686 citations
Peers
Comparison fields: 5 of 67
- Hepatology 125
- Epidemiology 191
- Immunology 92
- Oncology 111
- Gastroenterology 22
Countries citing papers authored by Jun Ji
This map shows the geographic impact of Jun Ji'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 Jun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ji more than expected).
Fields of papers citing papers by Jun Ji
This network shows the impact of papers produced by Jun Ji. 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 Jun Ji. The network helps show where Jun Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ji, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 109 | |
| 2 | 2014 | 93 | |
| 3 | 2016 | 81 | |
| 4 | 2011 | 57 | |
| 5 | 2011 | 35 | |
| 6 | 2015 | 33 | |
| 7 | 2015 | 30 | |
| 8 | 2021 | 26 | |
| 9 | 2018 | 23 | |
| 10 | 2012 | 22 | |
| 11 | 2015 | 16 | |
| 12 | 2013 | 16 | |
| 13 | 2018 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2015 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2012 | 14 | |
| 19 | 2017 | 13 | |
| 20 | 2017 | 11 |
About Jun Ji
Jun Ji is a scholar working on Molecular Biology, Surgery, Oncology, Epidemiology and Hepatology, having authored 29 papers that have together received 696 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Hepatitis B Virus Studies (2 papers), Peptidase Inhibition and Analysis (2 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Hepatology (125 citations), Epidemiology (191 citations), Immunology (92 citations), Oncology (111 citations) and Gastroenterology (22 citations). Jun Ji has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Chunfang Gao, Xing Gu, Meng Fang, Yunpeng Zhao, Yunpeng Zhao, Mengmeng Wang, Feiguo Zhou, Hao Wang, Xinyun Xu and Cheng Cheng. Their work appears in journals such as PLoS ONE, Journal of Clinical Laboratory Analysis, Electrophoresis, Acta Pharmacologica Sinica and Journal of Leukocyte Biology.
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.