Yali Ni

9 total papers · 465 total citations
5 papers, 391 citations indexed

About

Yali Ni is a scholar working on Reproductive Medicine, Molecular Biology and Nephrology. According to data from OpenAlex, Yali Ni has authored 5 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Reproductive Medicine, 1 paper in Molecular Biology and 1 paper in Nephrology. Recurrent topics in Yali Ni's work include Birth, Development, and Health (1 paper), Reproductive Biology and Fertility (1 paper) and Hearing, Cochlea, Tinnitus, Genetics (1 paper). Yali Ni is often cited by papers focused on Birth, Development, and Health (1 paper), Reproductive Biology and Fertility (1 paper) and Hearing, Cochlea, Tinnitus, Genetics (1 paper). Yali Ni collaborates with scholars based in China and India. Yali Ni's co-authors include Xiaoling Liu, Subrata Kumar Dey, Jie Yang, Yan Wang, Guangmei Xie, Chen Li, Huijun Liu, Jinxia An, Baicheng Xu and Qing He and has published in prestigious journals such as Frontiers in Genetics, Journal of Nutritional Science and Vitaminology and Systems Biology in Reproductive Medicine.

In The Last Decade

Yali Ni

4 papers receiving 388 citations

Hit Papers

Targeted Next Generation ... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Yali Ni 170 96 48 46 29 5 391
Guangmei Xie 180 1.1× 97 1.0× 58 1.2× 45 1.0× 28 1.0× 8 406
Hu Nie 262 1.5× 95 1.0× 41 0.9× 31 0.7× 43 1.5× 13 386
Haoxiang Lin 192 1.1× 39 0.4× 22 0.5× 63 1.4× 20 0.7× 5 400
Adam L. Clayton 95 0.6× 67 0.7× 16 0.3× 72 1.6× 42 1.4× 10 401
Elias Gbeha 176 1.0× 164 1.7× 36 0.8× 14 0.3× 16 0.6× 10 391
Ashley Chan 185 1.1× 82 0.9× 80 1.7× 13 0.3× 23 0.8× 6 380
Zhibing Wan 123 0.7× 79 0.8× 31 0.6× 123 2.7× 16 0.6× 12 387
Katherine M. Siewert 164 1.0× 222 2.3× 69 1.4× 29 0.6× 18 0.6× 11 401
Gilad Barshad 313 1.8× 73 0.8× 44 0.9× 26 0.6× 32 1.1× 11 386
Olga Nikolayeva 272 1.6× 55 0.6× 93 1.9× 50 1.1× 24 0.8× 4 428

Countries citing papers authored by Yali Ni

Since Specialization
Citations

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

Fields of papers citing papers by Yali Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yali Ni

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