Bingyuan Ji

26 total papers · 1.1k total citations
25 papers, 853 citations indexed

About

Bingyuan Ji is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Bingyuan Ji has authored 25 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Pharmacology. Recurrent topics in Bingyuan Ji's work include Apelin-related biomedical research (7 papers), Receptor Mechanisms and Signaling (5 papers) and Nuclear Receptors and Signaling (5 papers). Bingyuan Ji is often cited by papers focused on Apelin-related biomedical research (7 papers), Receptor Mechanisms and Signaling (5 papers) and Nuclear Receptors and Signaling (5 papers). Bingyuan Ji collaborates with scholars based in China and United Kingdom. Bingyuan Ji's co-authors include Bo Bai, Baohua Cheng, Chunmei Wang, Jing Chen, Yanyou Pan, Yili Wu, Haiqing Liu, Qinqin Wang, Gongying Li and Chao Xu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Free Radical Biology and Medicine and Journal of Affective Disorders.

In The Last Decade

Bingyuan Ji

23 papers receiving 848 citations

Author Peers

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

Author Last Decade Papers Cites
Bingyuan Ji 287 168 145 137 134 25 853
Chen‐Jee Hong 263 0.9× 292 1.7× 140 1.0× 92 0.7× 174 1.3× 44 1.0k
Ursula Eder 133 0.5× 138 0.8× 45 0.3× 80 0.6× 54 0.4× 25 936
Wei Liu 255 0.9× 235 1.4× 128 0.9× 115 0.8× 49 0.4× 27 1.0k
Magdalena Uhart 121 0.4× 205 1.2× 75 0.5× 77 0.6× 63 0.5× 13 1.0k
Daniel Wagner 207 0.7× 209 1.2× 314 2.2× 205 1.5× 174 1.3× 30 942
Ikuo Nomura 136 0.5× 89 0.5× 106 0.7× 105 0.8× 129 1.0× 41 747
Rui Yang 305 1.1× 110 0.7× 246 1.7× 113 0.8× 93 0.7× 40 1.0k
Liying Fu 231 0.8× 214 1.3× 174 1.2× 48 0.4× 59 0.4× 38 1.0k
H. M. Brecht 182 0.6× 180 1.1× 194 1.3× 54 0.4× 82 0.6× 26 959
Cal K. Cohn 186 0.6× 176 1.0× 94 0.6× 259 1.9× 344 2.6× 19 1.0k

Countries citing papers authored by Bingyuan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Bingyuan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingyuan Ji

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