Yan‐jun Mi

882 citations
17 papers · 744 · h-index 10

Impact in

  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Colorectal Cancer Treatments and Studies
    • Pancreatic and Hepatic Oncology Research
    • Lung Cancer Treatments and Mutations

Papers in

    • Cancer therapeutics and mechanisms 3
    • Bioactive Natural Diterpenoids Research 2
    • Glycosylation and Glycoproteins Research 1
    • Drug Transport and Resistance Mechanisms 8
    • Lung Cancer Research Studies 1

Yan‐jun Mi

14 papers receiving 738 citations

Peers

Yan‐jun Mi
Comparison fields: 5 of 64
  • Oncology 356
  • Pulmonary and Respiratory Medicine 132
  • Molecular Biology 296
  • Cancer Research 57
  • Pharmacology 59
Replace Yue-Li Sun with:
Yue-Li Sun China
Yiqing Xu United States
Mi Kwon Son South Korea
Audrey Laroche‐Clary France
Yan‐yan Yan China
Dan Zang China
Elisa Herráez Spain
Meng-Ning Wei China
Danish Mazhar United Kingdom
Yan‐jun Mi relative to Yue-Li Sun China Yue-Li Sun's profile →
Citations per field
00.5×2.8×
Yue-Li Sun · 1×
Citations per year

Countries citing papers authored by Yan‐jun Mi

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐jun Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐jun Mi. 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 Yan‐jun Mi. The network helps show where Yan‐jun Mi may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2010295
2 2011105
3 201084
4 200980
5 200760
6 201136
7 201224
8 201124
9 201120
10 201012
11 20251
12 20071
13 20251
14 20251
15 20250
16 20250
17 20250

About Yan‐jun Mi

Yan‐jun Mi is a scholar working on Molecular Biology, Oncology, Surgery, Pharmacology and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 744 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (8 papers), Cancer therapeutics and mechanisms (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Bioactive Natural Diterpenoids Research (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Acute Myeloid Leukemia Research (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Oncology (356 citations), Pulmonary and Respiratory Medicine (132 citations), Molecular Biology (296 citations), Cancer Research (57 citations) and Pharmacology (59 citations). Yan‐jun Mi has collaborated with scholars based in China, Hong Kong and Thailand. Frequent co-authors include Yong‐ju Liang, Liwu Fu, Kenneth K.W. To, Liguang Lou, Chun-ling Dai, Fang Wang, Amit K. Tiwari, Fang Wang, Zhe‐Sheng Chen and Chung‐Pu Wu. Their work appears in journals such as PLoS ONE, British Journal of Cancer, Foods, Expert Systems with Applications and Biochemical Pharmacology.

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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