Ming Zhan

34.0k citations
167 papers · 7.7k indexed · 3 hit papers · h-index 47
    • Cancer-related molecular mechanisms research 19
    • MicroRNA in disease regulation 17
  • Aging top 2%
  • Nephrology top 1%
    • RNA modifications and cancer 22
    • RNA Research and Splicing 17
    • Pluripotent Stem Cells Research 12
    • Gene Regulatory Network Analysis 11
    • CRISPR and Genetic Engineering 9
    • Cholangiocarcinoma and Gallbladder Cancer Studies 18

Ming Zhan

161 papers receiving 7.6k citations

Hit Papers

Molec...332012202620162021250500750

Peers

Ming Zhan
Comparison fields: 5 of 143
  • Cancer Research 2.1k
  • Aging 161
  • Nephrology 595
  • Molecular Biology 5.2k
  • Clinical Biochemistry 376
Replace Laurent Vergnes with:
Laurent Vergnes United States
Jian Li China
Joungmok Kim South Korea
Karin Bornfeldt United States
Mohit Jain United States
Jifeng Zhang United States
Antonio Domenico Procopio Italy
Mondira Kundu United States
María T. Díaz‐Meco United States
Kay F. Macleod United States
Ming Zhan relative to Laurent Vergnes United States Laurent Vergnes's profile →
Citations per field
00.5×3.5×
Laurent Vergnes · 1×
Citations per year

Countries citing papers authored by Ming Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20259
3 20251
4 20250
5 20244
6 20240
7 20233
8 20233
9 20231
10 202325
11 202312
12 202183
13 20215
14 202116
15 201913
16 2014155
17 2013127
18
Integrative modeling of transcriptional regulatory networks in head and neck cancer
20120
19 200767
20 2006155

About Ming Zhan

Ming Zhan is a scholar working on Cancer Research, Nephrology and Aging, having authored 167 papers that have together received 7.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (22 papers), Cancer-related molecular mechanisms research (19 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (18 papers), MicroRNA in disease regulation (17 papers), RNA Research and Splicing (17 papers), Pluripotent Stem Cells Research (12 papers), Gene Regulatory Network Analysis (11 papers) and CRISPR and Genetic Engineering (9 papers). The work is most often cited by research in Cancer Research (2.1k citations), Aging (161 citations) and Nephrology (595 citations). Ming Zhan has collaborated with scholars based in China, United States and France. Frequent co-authors include Myriam Gorospe, Xiaoling Yang, Lin Sun, Jennifer L. Martindale, Jian Wang, Isabel López de Silanes, Kotb Abdelmohsen, Ashish Lal, Huai Li and Yashpal S. Kanwar. Their work appears in journals such as PLoS ONE, Bioinformatics, Cell Death and Disease, EBioMedicine and Nucleic Acids Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026