Ming Bai

28 total papers · 460 total citations
21 papers, 351 citations indexed

About

Ming Bai is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Ming Bai has authored 21 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Ming Bai's work include Reconstructive Surgery and Microvascular Techniques (6 papers), Prion Diseases and Protein Misfolding (3 papers) and Reconstructive Facial Surgery Techniques (2 papers). Ming Bai is often cited by papers focused on Reconstructive Surgery and Microvascular Techniques (6 papers), Prion Diseases and Protein Misfolding (3 papers) and Reconstructive Facial Surgery Techniques (2 papers). Ming Bai collaborates with scholars based in China, United States and South Korea. Ming Bai's co-authors include Sarah Perrett, Junmei Zhou, Xiaojun Wang, Xiao Long, Nanze Yu, Cheng Zhang, Yan Yang, Jiuzuo Huang, Zai-Rong Zhang and Jun-Mei Zhou and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemical Journal.

In The Last Decade

Ming Bai

19 papers receiving 337 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ming Bai	169	64	55	47	43	21	351
Tomoko Kitagawa	63 0.4×	37 0.6×	35 0.6×	51 1.1×	38 0.9×	32	392
Navit Ogen‐Shtern	165 1.0×	28 0.4×	21 0.4×	10 0.2×	42 1.0×	18	364
Guoxing Zhu	191 1.1×	28 0.4×	35 0.6×	12 0.3×	15 0.3×	23	396
Ajoy Kumar Ghosh	149 0.9×	31 0.5×	8 0.1×	5 0.1×	14 0.3×	14	376
Thuany Alencar‐Silva	105 0.6×	35 0.5×	10 0.2×	5 0.1×	44 1.0×	17	370
Bohao Zhao	122 0.7×	32 0.5×	28 0.5×	6 0.1×	26 0.6×	34	340
Junji Hasegawa	69 0.4×	28 0.4×	13 0.2×	15 0.3×	79 1.8×	14	359
Mariana Ferreira	74 0.4×	42 0.7×	22 0.4×	5 0.1×	15 0.3×	22	392
Ryusuke Ono	182 1.1×	25 0.4×	11 0.2×	9 0.2×	130 3.0×	24	386
Jonathan C. Dunne	234 1.4×	57 0.9×	19 0.3×	27 0.6×	7 0.2×	17	398

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

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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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