Yan‐jun Mi

861 citations
15 papers · 700 · 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
    • Gastric Cancer Management and Outcomes

Papers in

    • Cancer therapeutics and mechanisms 5
    • Bioactive Natural Diterpenoids Research 2
    • Drug Transport and Resistance Mechanisms 8

Yan‐jun Mi

12 papers receiving 695 citations

Peers

Yan‐jun Mi
Comparison fields: 5 of 66
  • Oncology 424
  • Pulmonary and Respiratory Medicine 185
  • Cancer Research 82
  • Molecular Biology 331
  • Hepatology 28
Replace Maura A. Kraynak with:
Maura A. Kraynak United States
Seiji Doi Japan
William A. Hammond United States
Federica Spadaccino Italy
Ronald Drengler United States
Rahul Atul Parikh United States
Danish Mazhar United Kingdom
Haitao Chen China
Meng-Ning Wei China
Mingwei Chen China
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Citations per field
00.5×11.8×
Maura A. Kraynak · 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

15 of 15 papers shown
#Work
1 2010288
2 2011103
3 200975
4 201062
5 200759
6 201135
7 201224
8 201122
9 201118
10 201012
11 20251
12 20071
13 20250
14 20250
15 20250

About Yan‐jun Mi

Yan‐jun Mi is a scholar working on Molecular Biology, Oncology, Surgery, Pharmacology and Plant Science, having authored 15 papers that have together received 700 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (8 papers), Cancer therapeutics and mechanisms (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Bioactive Natural Diterpenoids Research (2 papers), Phytochemistry and Biological Activities (1 paper), Polysaccharides and Plant Cell Walls (1 paper), Spam and Phishing Detection (1 paper) and Natural Compounds in Disease Treatment (1 paper). The work is most often cited by research in Oncology (424 citations), Pulmonary and Respiratory Medicine (185 citations), Cancer Research (82 citations), Molecular Biology (331 citations) and Hepatology (28 citations). Yan‐jun Mi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yong‐ju Liang, Liwu Fu, Kenneth K.W. To, Liguang Lou, Chun-ling Dai, Fang Wang, Amit K. Tiwari, Chung‐Pu Wu, Fang Wang and Zhe‐Sheng Chen. Their work appears in journals such as British Journal of Cancer, PLoS ONE, Diseases of the Esophagus, Journal of Cellular Biochemistry and Marine Drugs.

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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