Ming Bai

1.7k total citations · 1 hit paper
20 papers, 898 citations indexed

About

Ming Bai is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Ming Bai has authored 20 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Ming Bai's work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (3 papers). Ming Bai is often cited by papers focused on MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (3 papers). Ming Bai collaborates with scholars based in China and Japan. Ming Bai's co-authors include Yi Ba, Jialu Li, Guoguang Ying, Kegan Zhu, Haiou Yang, Ting Deng, Tao Ning, Qian Fan, Haiyang Zhang and Rui Liu and has published in prestigious journals such as Nature Communications, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ming Bai

18 papers receiving 889 citations

Hit Papers

Exosome‐delivered circRNA promotes glycolysis to induce c... 2020 2026 2022 2024 2020 100 200 300 400

Peers

Ming Bai
Comparison fields: 5 of 85
  • Molecular Biology 738
  • Cancer Research 573
  • Pharmacology 50
  • Cardiology and Cardiovascular Medicine 49
  • Immunology 46
Replace Pengli Wang with:
Pengli Wang China
Ruifen Sun China
Lianhong Pan China
Zhiping Miao China
Liang Yan China
Yameng Cui China
Chi Zhou China
Pengli Wang China View profile →
Citations per field, relative to Ming Bai
Ming Bai · 1×
Citations per year, relative to Ming Bai
Ming Bai · 1×

Countries citing papers authored by Ming Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ming Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Bai. A scholar is included among the top collaborators of Ming Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Bai. Ming Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 17
3 0
4 6
5 0
6 15
7 7
8 40
9 28
10 14
11 8
12 19
13 155
14
Exosome‐delivered circRNA promotes glycolysis to induce chemoresistance through the miR‐122‐PKM2 axis in colorectal cancer breakdown →
412
15 41
16 25
17 88
18 5
19 3
20 4

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