Jinyun Shi

23 total papers · 481 total citations
13 papers, 137 citations indexed

About

Jinyun Shi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jinyun Shi has authored 13 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Jinyun Shi's work include Inflammasome and immune disorders (3 papers), Treatment of Major Depression (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Jinyun Shi is often cited by papers focused on Inflammasome and immune disorders (3 papers), Treatment of Major Depression (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Jinyun Shi collaborates with scholars based in China, United States and Japan. Jinyun Shi's co-authors include Jianjun Yang, Zhiyi Zuo, Zhiqiang Zhou, Masaaki Miyata, Jia Guo, Baohui Xu, Zhidong Li, Wei Zhou, Nan Wang and Lin Dong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Small and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Jinyun Shi

10 papers receiving 134 citations

Author Peers

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

Author						Papers	Cites
Jinyun Shi	47	41	38	36	30	13	137
Wataru Tanabe	86 1.8×	90 2.2×	34 0.9×	41 1.1×	66 2.2×	9	254
Leandro Garbossa	53 1.1×	26 0.6×	66 1.7×	15 0.4×	18 0.6×	9	249
Akash Patel	39 0.8×	20 0.5×	38 1.0×	18 0.5×	34 1.1×	11	225
Uma Suryadevara	19 0.4×	40 1.0×	32 0.8×	25 0.7×	26 0.9×	14	221
Fraser Scott	17 0.4×	37 0.9×	70 1.8×	8 0.2×	12 0.4×	14	262
Baixuan He	30 0.6×	8 0.2×	40 1.1×	20 0.6×	22 0.7×	12	195
Andrew C. Pearson	11 0.2×	23 0.6×	33 0.9×	41 1.1×	10 0.3×	17	274
Sema Bilgiç Gazioğlu	52 1.1×	22 0.5×	32 0.8×	19 0.5×	4 0.1×	15	226
Graham Boyd	10 0.2×	64 1.6×	13 0.3×	20 0.6×	19 0.6×	12	274
Jarosław Pniewski	22 0.5×	11 0.3×	25 0.7×	21 0.6×	10 0.3×	14	129

Countries citing papers authored by Jinyun Shi

Since Specialization

Citations

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

Fields of papers citing papers by Jinyun Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyun Shi

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