Liang Jin

51 total papers · 1.2k total citations
32 papers, 815 citations indexed

About

Liang Jin is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Liang Jin has authored 32 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cancer Research, 13 papers in Oncology and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Liang Jin's work include Breast Cancer Treatment Studies (15 papers), Breast Lesions and Carcinomas (10 papers) and Advanced Breast Cancer Therapies (8 papers). Liang Jin is often cited by papers focused on Breast Cancer Treatment Studies (15 papers), Breast Lesions and Carcinomas (10 papers) and Advanced Breast Cancer Therapies (8 papers). Liang Jin collaborates with scholars based in China, Canada and United Kingdom. Liang Jin's co-authors include Erwei Song, Qiang Liu, Fengxi Su, Yujie Liu, Shunying Li, Shunrong Li, Weijuan Jia, Herui Yao, Jieqiong Liu and Qianfeng Shi and has published in prestigious journals such as Nature Communications, Cancer Research and Diabetes.

In The Last Decade

Liang Jin

30 papers receiving 806 citations

Author Peers

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

Author Last Decade Papers Cites
Liang Jin 408 341 340 165 140 32 815
Alessandro Bombonati 298 0.7× 339 1.0× 281 0.8× 82 0.5× 134 1.0× 21 839
Huawei Zou 322 0.8× 402 1.2× 244 0.7× 162 1.0× 70 0.5× 36 707
Dinghua Yang 388 1.0× 481 1.4× 398 1.2× 191 1.2× 73 0.5× 41 998
Su-Su Zheng 252 0.6× 304 0.9× 283 0.8× 180 1.1× 77 0.6× 30 744
Mingsheng Zhang 238 0.6× 578 1.7× 388 1.1× 184 1.1× 139 1.0× 29 1.0k
Yangfan Lv 358 0.9× 579 1.7× 204 0.6× 127 0.8× 85 0.6× 31 880
Carlo Gatti 325 0.8× 551 1.6× 383 1.1× 112 0.7× 63 0.5× 30 896
Hui-Zhong Zhang 318 0.8× 599 1.8× 327 1.0× 117 0.7× 234 1.7× 18 894
Jamie R. Kutasovic 319 0.8× 303 0.9× 347 1.0× 179 1.1× 138 1.0× 19 760
Da Wang 335 0.8× 534 1.6× 198 0.6× 79 0.5× 136 1.0× 47 906

Countries citing papers authored by Liang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Liang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Jin. A scholar is included among the top collaborators of Liang Jin 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 Liang Jin. Liang Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026