Jingyi Li

52 total papers · 1.3k total citations
32 papers, 681 citations indexed

About

Jingyi Li is a scholar working on Immunology, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Jingyi Li has authored 32 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 12 papers in Molecular Biology and 6 papers in Reproductive Medicine. Recurrent topics in Jingyi Li's work include Reproductive System and Pregnancy (5 papers), T-cell and B-cell Immunology (5 papers) and Endometriosis Research and Treatment (5 papers). Jingyi Li is often cited by papers focused on Reproductive System and Pregnancy (5 papers), T-cell and B-cell Immunology (5 papers) and Endometriosis Research and Treatment (5 papers). Jingyi Li collaborates with scholars based in China, United States and Hong Kong. Jingyi Li's co-authors include Yuzhang Wu, Jingbo Zhang, Liyun Zou, Liwei Lu, Yongfei Fang, Xiaolan Fu, Ying Wan, Jinyu Zhang, Jinjun Zhang and Hongli Liu and has published in prestigious journals such as Applied and Environmental Microbiology, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Jingyi Li

28 papers receiving 675 citations

Author Peers

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

Author						Papers	Cites
Jingyi Li	313	282	195	131	79	32	681
S. Yoshimura	346 1.1×	203 0.7×	127 0.7×	58 0.4×	80 1.0×	29	689
Christina Stoeckle	395 1.3×	221 0.8×	54 0.3×	116 0.9×	86 1.1×	21	758
Dres Damgaard	229 0.7×	188 0.7×	89 0.5×	213 1.6×	78 1.0×	25	571
Honorio Torres‐Aguilar	408 1.3×	156 0.6×	57 0.3×	50 0.4×	82 1.0×	38	700
Mark Dixon	269 0.9×	188 0.7×	53 0.3×	67 0.5×	154 1.9×	19	753
Gefei Qing	246 0.8×	233 0.8×	56 0.3×	49 0.4×	87 1.1×	32	646
MT Esselink	277 0.9×	183 0.6×	64 0.3×	42 0.3×	176 2.2×	34	689
Teja Celhar	517 1.7×	213 0.8×	67 0.3×	246 1.9×	109 1.4×	18	734
Emi Sato	177 0.6×	242 0.9×	69 0.4×	39 0.3×	99 1.3×	59	676
Darja Andreev	250 0.8×	246 0.9×	59 0.3×	191 1.5×	138 1.7×	22	666

Countries citing papers authored by Jingyi Li

Since Specialization

Citations

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

Fields of papers citing papers by Jingyi Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyi Li

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