Min Niu

32 total papers · 562 total citations
17 papers, 424 citations indexed

About

Min Niu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Min Niu has authored 17 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Min Niu's work include Gastric Cancer Management and Outcomes (2 papers), Cancer-related Molecular Pathways (2 papers) and Cell death mechanisms and regulation (2 papers). Min Niu is often cited by papers focused on Gastric Cancer Management and Outcomes (2 papers), Cancer-related Molecular Pathways (2 papers) and Cell death mechanisms and regulation (2 papers). Min Niu collaborates with scholars based in China, United States and Canada. Min Niu's co-authors include Betty Chewning, Bruce Barrett, Benjamin M. Craig, Theresa J. Hoeft, David Rakel, M.A. Christine Pratt, Kejun Zhang, Xuelong Jiao, Rosanna Lau and Jun Liang and has published in prestigious journals such as International Journal of Molecular Sciences, Carbohydrate Polymers and Brain Behavior and Immunity.

In The Last Decade

Min Niu

16 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
Min Niu 194 126 94 79 38 17 424
Mona Hersi 96 0.5× 43 0.3× 67 0.7× 51 0.6× 22 0.6× 17 478
Ki Hong Chun 21 0.1× 52 0.4× 39 0.4× 59 0.7× 31 0.8× 24 420
Fei-Li Zhao 61 0.3× 88 0.7× 51 0.5× 42 0.5× 9 0.2× 29 469
Elizabeth J. Kramer 36 0.2× 96 0.8× 46 0.5× 39 0.5× 8 0.2× 12 438
Clare McDermott 206 1.1× 125 1.0× 36 0.4× 32 0.4× 29 0.8× 16 385
Wayne D. Mitchell 75 0.4× 51 0.4× 65 0.7× 31 0.4× 5 0.1× 18 428
Núria Siñol 101 0.5× 91 0.7× 125 1.3× 27 0.3× 28 0.7× 23 408
Alan H. Johnson 51 0.3× 90 0.7× 65 0.7× 86 1.1× 4 0.1× 26 380
Andrew Schuster 54 0.3× 57 0.5× 60 0.6× 117 1.5× 9 0.2× 26 392
Hisanori Kobayashi 76 0.4× 65 0.5× 63 0.7× 12 0.2× 22 0.6× 30 414

Countries citing papers authored by Min Niu

Since Specialization
Citations

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

Fields of papers citing papers by Min Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Min Niu. A scholar is included among the top collaborators of Min Niu 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 Min Niu. Min Niu 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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2026