Jun Ji

433 citations
25 papers · 276 · h-index 9

Impact in

Papers in

Jun Ji

23 papers receiving 272 citations

Peers

Jun Ji
Comparison fields: 5 of 80
  • Complementary and alternative medicine 99
  • Nephrology 58
  • Gastroenterology 26
  • Psychiatry and Mental health 43
  • Urology 18
Replace Gumdal Narsimulu with:
Gumdal Narsimulu India
Susrutha Puthanmadhom Narayanan United States
Amanda P. Henry United Kingdom
Hiroshi Fujinaga Japan
Marina I Castillo Spain
Lan X. Chen United States
L. Cogliandro Italy
Shuijing Wu China
Mohammadreza Firouzifar Iran
Jun Ji relative to Gumdal Narsimulu India Gumdal Narsimulu's profile →
Citations per field
00.5×9.7×
Gumdal Narsimulu · 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-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.

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

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201361
2 201836
3 201929
4 201625
5 201421
6 201717
7 202116
8 202214
9 20188
10 20147
11 20117
12 20237
13 20236
14
An Overview of Research on Functional Module Detection for Protein-protein Interaction Networks
20145
15 20114
16 20163
17 20053
18 20162
19
Comparison of death causes between patients with hemodialysis and peritoneal dialysis
20101
20 20141

About Jun Ji

Jun Ji is a scholar working on Nephrology, Complementary and alternative medicine, Molecular Biology, Pharmacology and Dermatology, having authored 25 papers that have together received 276 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (6 papers), Dialysis and Renal Disease Management (5 papers), Dermatology and Skin Diseases (4 papers), Healthcare and Venom Research (4 papers), Traditional Chinese Medicine Studies (4 papers), Urticaria and Related Conditions (3 papers), Urinary Bladder and Prostate Research (3 papers) and Complementary and Alternative Medicine Studies (3 papers). The work is most often cited by research in Complementary and alternative medicine (99 citations), Nephrology (58 citations), Gastroenterology (26 citations), Psychiatry and Mental health (43 citations) and Urology (18 citations). Jun Ji has collaborated with scholars based in China, South Korea and Hong Kong. Frequent co-authors include Luyi Wu, Huangan Wu, Huirong Liu, Jian Pei, Jia Xu, Yuan Lu, Yunhua Cui, Hui Feng, Fuqing Zhang and Xuesen Cao. Their work appears in journals such as Renal Failure, Chinese Journal of Integrative Medicine, Blood Purification, Journal of Integrative Medicine and BMC Nephrology.

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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