Kairui Jin

35 total papers · 613 total citations
21 papers, 388 citations indexed

About

Kairui Jin is a scholar working on Cancer Research, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Kairui Jin has authored 21 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 9 papers in Pathology and Forensic Medicine and 7 papers in Surgery. Recurrent topics in Kairui Jin's work include Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (8 papers) and Breast Implant and Reconstruction (5 papers). Kairui Jin is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (8 papers) and Breast Implant and Reconstruction (5 papers). Kairui Jin collaborates with scholars based in China and United States. Kairui Jin's co-authors include Xuanyi Wang, Zhirui Zhou, Xing‐Xing Chen, Weiwei Wang, Huina Zhang, Yan Li, Ziwei Wang, Bo Li, Guozhen Zhao and Jing Hu and has published in prestigious journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and European Urology.

In The Last Decade

Kairui Jin

20 papers receiving 386 citations

Author Peers

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

Author						Papers	Cites
Kairui Jin	125	95	76	70	70	21	388
M. Mathieu	115 0.9×	129 1.4×	53 0.7×	56 0.8×	109 1.6×	26	400
Gerard J. Davis	52 0.4×	81 0.9×	86 1.1×	63 0.9×	50 0.7×	21	370
Qilong Yi	79 0.6×	86 0.9×	91 1.2×	61 0.9×	77 1.1×	17	419
Heidi A. Apsey	87 0.7×	119 1.3×	99 1.3×	46 0.7×	32 0.5×	23	386
Julie Huang	91 0.7×	57 0.6×	159 2.1×	73 1.0×	106 1.5×	18	433
Takashi Kuwayama	74 0.6×	112 1.2×	77 1.0×	167 2.4×	63 0.9×	31	407
Tong Liu	73 0.6×	87 0.9×	54 0.7×	62 0.9×	39 0.6×	35	340
George A. Degenshein	83 0.7×	139 1.5×	123 1.6×	26 0.4×	99 1.4×	17	415
Irena Kuzmickienė	95 0.8×	119 1.3×	108 1.4×	24 0.3×	97 1.4×	20	353
Anna de Fazio	48 0.4×	57 0.6×	94 1.2×	81 1.2×	32 0.5×	22	357

Countries citing papers authored by Kairui Jin

Since Specialization

Citations

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

Fields of papers citing papers by Kairui Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kairui Jin

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