Biyun Ni

8 total papers · 657 total citations
4 papers, 553 citations indexed

About

Biyun Ni is a scholar working on Molecular Biology, Oncology and Complementary and alternative medicine. According to data from OpenAlex, Biyun Ni has authored 4 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Complementary and alternative medicine. Recurrent topics in Biyun Ni's work include Cell death mechanisms and regulation (2 papers), Proteoglycans and glycosaminoglycans research (1 paper) and Cancer Cells and Metastasis (1 paper). Biyun Ni is often cited by papers focused on Cell death mechanisms and regulation (2 papers), Proteoglycans and glycosaminoglycans research (1 paper) and Cancer Cells and Metastasis (1 paper). Biyun Ni collaborates with scholars based in China, United States and France. Biyun Ni's co-authors include Quan Chen, Leya He, Haijing Jin, Jingyu Zhang, Maryam Mehrpour, Nathalie Cahuzac, Lei Du, Youyong Lu, Hongyi Wang and Xiaohui Wang and has published in prestigious journals such as Journal of Biological Chemistry, Clinical Cancer Research and Protein & Cell.

In The Last Decade

Biyun Ni

4 papers receiving 545 citations

Author Peers

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

Author						Papers	Cites
Biyun Ni	364	305	140	75	56	4	553
Jorge Aguilar	421 1.2×	274 0.9×	170 1.2×	39 0.5×	64 1.1×	4	515
Leya He	405 1.1×	368 1.2×	169 1.2×	86 1.1×	66 1.2×	11	663
Chaitanyananda B. Koppikar	422 1.2×	391 1.3×	175 1.3×	60 0.8×	42 0.8×	3	647
Lianne Gibson	302 0.8×	469 1.5×	180 1.3×	73 1.0×	29 0.5×	5	644
Alison G. Barber	255 0.7×	409 1.3×	167 1.2×	78 1.0×	28 0.5×	8	632
Ephraim Katzir	442 1.2×	526 1.7×	107 0.8×	89 1.2×	67 1.2×	2	653
Ardian Latifi	366 1.0×	337 1.1×	185 1.3×	86 1.1×	34 0.6×	11	637
Han-Sui Hsu	355 1.0×	365 1.2×	169 1.2×	44 0.6×	27 0.5×	2	544
Regina Pinto	408 1.1×	267 0.9×	187 1.3×	42 0.6×	28 0.5×	7	549
Wang-Ju Hsieh	332 0.9×	375 1.2×	170 1.2×	42 0.6×	24 0.4×	6	561

Countries citing papers authored by Biyun Ni

Since Specialization

Citations

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

Fields of papers citing papers by Biyun Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biyun Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Biyun Ni. A scholar is included among the top collaborators of Biyun Ni 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 Biyun Ni. Biyun Ni 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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