Yinyun Ni

36 total papers · 1.4k total citations
22 papers, 606 citations indexed

About

Yinyun Ni is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yinyun Ni has authored 22 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Yinyun Ni's work include Cancer Immunotherapy and Biomarkers (3 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Cancer, Lipids, and Metabolism (2 papers). Yinyun Ni is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Cancer, Lipids, and Metabolism (2 papers). Yinyun Ni collaborates with scholars based in China, Netherlands and United States. Yinyun Ni's co-authors include Ying Yang, Li Zhang, Weimin Li, Jiaye Liu, Zhoufeng Wang, Menglin Yao, Chengdi Wang, Ningning Chao, Jun Shao and Yiqiao Fang and has published in prestigious journals such as Nature Communications, Free Radical Biology and Medicine and Endocrinology.

In The Last Decade

Yinyun Ni

21 papers receiving 598 citations

Hit Papers

Global Prevalence of Over... 2024 2026 2024 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Yinyun Ni 235 142 140 122 88 22 606
Yukun Li 296 1.3× 103 0.7× 69 0.5× 98 0.8× 89 1.0× 35 644
Rui Zhou 223 0.9× 130 0.9× 80 0.6× 181 1.5× 48 0.5× 37 539
Ruibao Chen 310 1.3× 106 0.7× 50 0.4× 82 0.7× 59 0.7× 32 608
Haiyan Pang 272 1.2× 97 0.7× 46 0.3× 79 0.6× 77 0.9× 31 639
Maria Bota 320 1.4× 123 0.9× 324 2.3× 89 0.7× 38 0.4× 16 660
Eva Zsigmond 277 1.2× 56 0.4× 93 0.7× 116 1.0× 63 0.7× 21 673
Hiroki Kitakata 249 1.1× 80 0.6× 71 0.5× 128 1.0× 112 1.3× 38 642
Lijing Zhang 163 0.7× 95 0.7× 56 0.4× 95 0.8× 52 0.6× 33 536
Bimin Shi 130 0.6× 76 0.5× 302 2.2× 142 1.2× 157 1.8× 26 696
Farhat V. N. Din 227 1.0× 203 1.4× 207 1.5× 60 0.5× 92 1.0× 14 686

Countries citing papers authored by Yinyun Ni

Since Specialization
Citations

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

Fields of papers citing papers by Yinyun Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinyun Ni

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