Yingjun Quan

1.0k citations
27 papers · 738 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Cells and Metastasis

Papers in

Yingjun Quan

27 papers receiving 728 citations

Peers

Yingjun Quan
Comparison fields: 5 of 76
  • Cancer Research 173
  • Oncology 210
  • Gastroenterology 42
  • Physiology 155
  • Geriatrics and Gerontology 22
Replace Nicholas B. Shannon with:
Nicholas B. Shannon Singapore
Bastian Czogalla Germany
Junaid Ansari United States
Özkan Kanat Türkiye
Caroline Archer United Kingdom
Matthew Read Australia
Sally E. Hodges United States
Dingpei Han China
Hyung Soon Park South Korea
Yingjun Quan relative to Nicholas B. Shannon Singapore Nicholas B. Shannon's profile →
Citations per field
00.5×3.4×
Nicholas B. Shannon · 1×
Citations per year

Countries citing papers authored by Yingjun Quan

Since Specialization
Citations

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

Fields of papers citing papers by Yingjun Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009128
2 201379
3 201766
4 201563
5 201558
6 201444
7 201540
8 201439
9 201325
10 201924
11 201420
12 201319
13 202019
14
[Prevalence of malnutrition in general surgical patients: evaluation of nutritional status and prognosis].
200515
15 202015
16 201314
17 202014
18 201913
19 201911
20 202010

About Yingjun Quan

Yingjun Quan is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Physiology, having authored 27 papers that have together received 738 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Diet and metabolism studies (3 papers), Autophagy in Disease and Therapy (3 papers), Drug Solubulity and Delivery Systems (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (173 citations), Oncology (210 citations), Gastroenterology (42 citations), Physiology (155 citations) and Geriatrics and Gerontology (22 citations). Yingjun Quan has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Zhijun Min, Ao Huang, Bo Feng, Hongchao Zhao, Ming Xu, Guohao Wu, Yang Zhou, Dongxing Cao, Jia Wei and Runsen Jin. Their work appears in journals such as Cancer Biology & Therapy, Oncology Reports, Journal of Cancer, Gene and AAPS PharmSciTech.

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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