Jun Cheng

1.7k citations
40 papers · 1.3k · h-index 20

Impact in

  • Nephrology top 2%
    • Dialysis and Renal Disease Management
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Renal Diseases and Glomerulopathies 6
    • Parathyroid Disorders and Treatments 3
    • Potato Plant Research 10

Jun Cheng

39 papers receiving 1.3k citations

Peers

Jun Cheng
Comparison fields: 5 of 97
  • Nephrology 314
  • Cancer Research 200
  • Transplantation 28
  • Emergency Medical Services 49
  • Food Science 139
Replace Hong Luan with:
Hong Luan China
Kazunobu Sugimura Japan
Yuji Kamijo Japan
Lining Miao China
Mark T. Houser United States
Tung‐Wei Hung Taiwan
James B. Moberly United States
Radhakrishna Baliga United States
Min Feng China
Jun Cheng relative to Hong Luan China Hong Luan's profile →
Citations per field
00.5×5.6×
Hong Luan · 1×
Citations per year

Countries citing papers authored by Jun Cheng

Since Specialization
Citations

This map shows the geographic impact of Jun Cheng'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 Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cheng more than expected).

Fields of papers citing papers by Jun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Cheng. 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 Cheng. The network helps show where Jun Cheng may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Cheng, 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 Cheng Line = papers co-authored together Jun Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014200
2 2014185
3 201387
4 201473
5 201371
6 201859
7 201057
8 201255
9 201253
10 201546
11 201444
12 201539
13 201333
14 201333
15 201631
16 201530
17 201528
18 201528
19 201223
20 201722

About Jun Cheng

Jun Cheng is a scholar working on Nephrology, Food Science, Plant Science, Molecular Biology and Cancer Research, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Potato Plant Research (10 papers), Plant Pathogens and Resistance (6 papers), Renal Diseases and Glomerulopathies (6 papers), MicroRNA in disease regulation (4 papers), Sesame and Sesamin Research (3 papers), Parathyroid Disorders and Treatments (3 papers), Advanced Glycation End Products research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Nephrology (314 citations), Cancer Research (200 citations), Transplantation (28 citations), Emergency Medical Services (49 citations) and Food Science (139 citations). Jun Cheng has collaborated with scholars based in China, Madagascar and Italy. Frequent co-authors include Jianghua Chen, Xiayu Li, Jianghua Chen, Haiyang Xie, Congcong Wu, Ping Zhang, Lili Chen, Lin Zhou, Zhen Lv and Jian Wu. Their work appears in journals such as Frontiers in Medicine, Molecular Carcinogenesis, RSC Advances, American Journal of Nephrology 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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