Yali Peng

61 total papers · 923 total citations
45 papers, 788 citations indexed

About

Yali Peng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Reproductive Medicine. According to data from OpenAlex, Yali Peng has authored 45 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 22 papers in Cellular and Molecular Neuroscience and 9 papers in Reproductive Medicine. Recurrent topics in Yali Peng's work include Neuropeptides and Animal Physiology (22 papers), Receptor Mechanisms and Signaling (9 papers) and Hypothalamic control of reproductive hormones (9 papers). Yali Peng is often cited by papers focused on Neuropeptides and Animal Physiology (22 papers), Receptor Mechanisms and Signaling (9 papers) and Hypothalamic control of reproductive hormones (9 papers). Yali Peng collaborates with scholars based in China, Hong Kong and Bulgaria. Yali Peng's co-authors include Rui Wang, Ren-Wen Han, Min Chang, Min Chang, Wei Li, Ruisan Zhang, Jiannan Zhang, Hongjiao Xu, Wei Li and Weidong Jin and has published in prestigious journals such as Chemical Communications, Scientific Reports and Brain Research.

In The Last Decade

Yali Peng

40 papers receiving 785 citations

Author Peers

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

Author Last Decade Papers Cites
Yali Peng 407 264 239 216 155 45 788
Yuzo Murata 293 0.7× 220 0.8× 97 0.4× 198 0.9× 282 1.8× 36 845
Monica Filaferro 456 1.1× 338 1.3× 134 0.6× 117 0.5× 119 0.8× 33 905
K. Kocsis 308 0.8× 164 0.6× 199 0.8× 186 0.9× 74 0.5× 33 866
Philippe Kachidian 581 1.4× 243 0.9× 162 0.7× 161 0.7× 103 0.7× 27 873
H Terubayashi 372 0.9× 297 1.1× 81 0.3× 321 1.5× 94 0.6× 46 870
Nurhadi Ibrahim 195 0.5× 155 0.6× 94 0.4× 335 1.6× 155 1.0× 52 720
Nancy E. Sirett 256 0.6× 279 1.1× 92 0.4× 183 0.8× 150 1.0× 52 903
Miguel Cervantes 306 0.8× 127 0.5× 219 0.9× 157 0.7× 93 0.6× 33 908
Kamen G. Usunoff 457 1.1× 106 0.4× 339 1.4× 172 0.8× 133 0.9× 52 897
David M. Bronstein 422 1.0× 208 0.8× 57 0.2× 215 1.0× 165 1.1× 25 734

Countries citing papers authored by Yali Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yali Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yali Peng

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