Min Su

402 citations
22 papers · 309 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Platelet Disorders and Treatments
    • Hemophilia Treatment and Research

Papers in

Min Su

19 papers receiving 302 citations

Peers

Min Su
Comparison fields: 5 of 61
  • Cancer Research 79
  • Hematology 35
  • Reproductive Medicine 24
  • Molecular Biology 156
  • Obstetrics and Gynecology 12
Replace Piotr Pluta with:
Piotr Pluta Poland
Haiyan Dai China
Woo‐Chul Noh South Korea
Bangdong Liu China
Weijian Zhu China
Renba Liang China
Ailing Zhong China
J.L. Mansi United Kingdom
Gillian Gifford United Kingdom
Sethupathi R. Muthuramalingam United Kingdom
Min Su relative to Piotr Pluta Poland Piotr Pluta's profile →
Citations per field
00.5×2×3.2×
Piotr Pluta · 1×
Citations per year

Countries citing papers authored by Min Su

Since Specialization
Citations

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

Fields of papers citing papers by Min Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201543
2 201536
3 201626
4 201624
5 201822
6 201921
7 201918
8 202218
9 201117
10 202417
11 201613
12 201713
13 201510
14 202010
15 20199
16 20155
17 20213
18 20233
19 20181
20 20250

About Min Su

Min Su is a scholar working on Cancer Research, Obstetrics and Gynecology, Molecular Biology, Immunology and Oncology, having authored 22 papers that have together received 309 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (5 papers), MicroRNA in disease regulation (4 papers), Pregnancy and preeclampsia studies (3 papers), Cancer-related Molecular Pathways (3 papers), Ubiquitin and proteasome pathways (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Cancer Research (79 citations), Hematology (35 citations), Reproductive Medicine (24 citations), Molecular Biology (156 citations) and Obstetrics and Gynecology (12 citations). Min Su has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Yuquan Zhang, Rong Liu, Yifei Liu, Tingting Bian, Shuyun Yang, Yingying Wang, Chao Fan, Yan Deng, Qinghua Xi and Georgios Skiniotis. Their work appears in journals such as Oncology Reports, International Journal of Gynecological Cancer, BMC Pregnancy and Childbirth, Journal of Cellular and Molecular Medicine and Journal of Cancer.

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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