Jun Ji

853 citations
29 papers · 673 indexed · h-index 15
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis 4
    • Hepatitis C virus research 3
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment 6
    • Hepatitis B Virus Studies 5
    • Peptidase Inhibition and Analysis 3
    • Cancer-related molecular mechanisms research 3
    • Glycosylation and Glycoproteins Research 10
    • Cholangiocarcinoma and Gallbladder Cancer Studies 8

Jun Ji

28 papers receiving 664 citations

Peers

Jun Ji
Comparison fields: 5 of 68
  • Hepatology 174
  • Epidemiology 272
  • Oncology 202
  • Gastroenterology 32
  • Cancer Research 82
Replace Ho-Yeong Lim with:
Ho-Yeong Lim South Korea
Marianna Silletta Italy
Eileen Regan United States
Monica Giovannini Italy
Alessio Fabozzi Italy
Koji Miyahara Japan
Yun-shan Tan China
Massimo Zeuli Italy
Antonio Cubillo Gracián Spain
Shin-ichi Aishima Japan
Jun Ji relative to Ho-Yeong Lim South Korea Ho-Yeong Lim's profile →
Citations per field
00.5×1.5×2.3×
Ho-Yeong Lim · 1×
Citations per year

Countries citing papers authored by Jun Ji

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jun Ji Line = papers co-authored together Jun Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20235
3 20238
4 20225
5 202214
6 202125
7 201822
8 201710
9 201710
10 201678
11 201516
12 201532
13 201410
14 201491
15 201314
16 201212
17 201154
18 2011106
19 201135
20 20090

About Jun Ji

Jun Ji is a scholar working on Hepatology, Surgery and Epidemiology, having authored 29 papers that have together received 673 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatitis B Virus Studies (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Peptidase Inhibition and Analysis (3 papers), Hepatitis C virus research (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Hepatology (174 citations), Epidemiology (272 citations) and Oncology (202 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, Meng Fang, Yunpeng Zhao, Mengmeng Wang, Yunpeng Zhao, Feiguo Zhou, Cheng Cheng and Xinyun Xu. Their work appears in journals such as PLoS ONE, Electrophoresis, Journal of Clinical Laboratory Analysis, Cancer and Journal of Cancer.

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.

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