Jianshi Jin

856 total citations
21 papers, 524 citations indexed

About

Jianshi Jin is a scholar working on Molecular Biology, Immunology and Ecology. According to data from OpenAlex, Jianshi Jin has authored 21 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Ecology. Recurrent topics in Jianshi Jin's work include Gut microbiota and health (4 papers), Single-cell and spatial transcriptomics (3 papers) and RNA and protein synthesis mechanisms (3 papers). Jianshi Jin is often cited by papers focused on Gut microbiota and health (4 papers), Single-cell and spatial transcriptomics (3 papers) and RNA and protein synthesis mechanisms (3 papers). Jianshi Jin collaborates with scholars based in China, Japan and United States. Jianshi Jin's co-authors include Xiao‐Dong Su, Yi Qin Gao, Chan Gu, Lijiang Yang, Sang‐Jin Kim, Erik Broströmer, Xiao Xie, Yujie Sun, Shasha Chong and Dong Xing and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jianshi Jin

19 papers receiving 515 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jianshi Jin China 10 333 94 40 37 36 21 524
Jun-ichi Kishikawa Japan 14 319 1.0× 68 0.7× 41 1.0× 16 0.4× 21 0.6× 42 560
Lavinia Liguori France 18 406 1.2× 60 0.6× 64 1.6× 45 1.2× 93 2.6× 30 682
Aiko Yoshida Japan 11 247 0.7× 193 2.1× 27 0.7× 13 0.4× 39 1.1× 16 523
Pawel K. Dominik United States 12 383 1.2× 126 1.3× 55 1.4× 23 0.6× 41 1.1× 20 583
Lin Jin United States 12 419 1.3× 37 0.4× 24 0.6× 33 0.9× 71 2.0× 15 593
Sabine R. Akabayov United States 12 276 0.8× 33 0.4× 32 0.8× 25 0.7× 37 1.0× 20 404
Edoardo D’Imprima Germany 11 392 1.2× 30 0.3× 69 1.7× 52 1.4× 59 1.6× 14 670
Maolin Li China 10 283 0.8× 30 0.3× 43 1.1× 31 0.8× 81 2.3× 23 424
Emmanuelle Billon-Denis France 10 322 1.0× 46 0.5× 36 0.9× 17 0.5× 29 0.8× 13 500
Luis Esquivies United States 12 423 1.3× 28 0.3× 71 1.8× 26 0.7× 30 0.8× 24 562

Countries citing papers authored by Jianshi Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jianshi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianshi Jin

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

All Works

20 of 20 papers shown
1.
Bo, Tingbei, Na Zhao, Sandi Willows‐Munro, et al.. (2025). Exploring microbiome shifts across taxonomic and ecological groups of birds at a key stopover site in Punjab, Pakistan. Current Research in Microbial Sciences. 9. 100492–100492.
2.
Jin, Jianshi, et al.. (2024). Optimal Network Pairwise Comparison. Journal of the American Statistical Association. 120(550). 1048–1062.
3.
Jin, Jianshi, et al.. (2024). Long journey of 16S rRNA‐amplicon sequencing toward cell‐based functional bacterial microbiota characterization. SHILAP Revista de lepidopterología. 1(1). e9–e9. 6 indexed citations
4.
Tachibana, Naoko, Takaharu Sasaki, Tamotsu Kato, et al.. (2024). RelB and C/EBPα critically regulate the development of Peyer’s patch mononuclear phagocytes. Mucosal Immunology. 18(1). 151–161. 1 indexed citations
5.
Cui, Guangwei, Akihiro Shimba, Jianshi Jin, et al.. (2023). CD45 alleviates airway inflammation and lung fibrosis by limiting expansion and activation of ILC2s. Proceedings of the National Academy of Sciences. 120(36). e2215941120–e2215941120. 9 indexed citations
6.
Jin, Jianshi, Noriko Takahashi, Harumichi Ishigame, et al.. (2023). Sensory neuronal STAT3 is critical for IL-31 receptor expression and inflammatory itch. Cell Reports. 42(12). 113433–113433. 21 indexed citations
7.
Nakai, Y., Jianshi Jin, Taisaku Ogawa, et al.. (2023). Pigmentation level of human iPSC-derived RPE does not indicate a specific gene expression profile. eLife. 12. 3 indexed citations
8.
Xu, Yongping, et al.. (2023). KaScape: a sequencing-based method for global characterization of protein‒DNA binding affinity. Scientific Reports. 13(1). 16595–16595. 2 indexed citations
9.
Jin, Jianshi, Reiko Yamamoto, & Katsuyuki Shiroguchi. (2023). High-throughput identification and quantification of bacterial cells in the microbiota based on 16S rRNA sequencing with single-base accuracy using BarBIQ. Nature Protocols. 19(1). 207–239. 17 indexed citations
10.
Jin, Jianshi, Taisaku Ogawa, Kirill Kryukov, et al.. (2022). Robotic data acquisition with deep learning enables cell image–based prediction of transcriptomic phenotypes. Proceedings of the National Academy of Sciences. 120(1). e2210283120–e2210283120. 14 indexed citations
11.
Jin, Jianshi, Reiko Yamamoto, Tadashi Takeuchi, et al.. (2022). High-throughput identification and quantification of single bacterial cells in the microbiota. Nature Communications. 13(1). 863–863. 14 indexed citations
12.
Ji, Pengsheng, Jianshi Jin, Zheng Tracy Ke, & Wan‐Shan Li. (2022). Rejoinder: “Co-citation and Co-authorship Networks of Statisticians”. Journal of Business and Economic Statistics. 40(2). 499–504. 2 indexed citations
13.
Jin, Jianshi, et al.. (2021). Cancer biology deciphered by single-cell transcriptomic sequencing. Protein & Cell. 13(3). 167–179. 32 indexed citations
15.
Jin, Jianshi, Tengfei Lian, Chan Gu, et al.. (2016). The effects of cytosine methylation on general transcription factors. Scientific Reports. 6(1). 29119–29119. 41 indexed citations
16.
Gao, Rong, Kai Yu, Tengfei Lian, et al.. (2016). Deep sequencing reveals global patterns of mRNA recruitment during translation initiation. Scientific Reports. 6(1). 30170–30170. 9 indexed citations
17.
Kim, Sang‐Jin, Erik Broströmer, Dong Xing, et al.. (2013). Probing Allostery Through DNA. Science. 339(6121). 816–819. 234 indexed citations
18.
Su, Xiaodong & Jianshi Jin. (2011). Davydov–Pang model: An improved Davydov protein soliton theory. Physics of Life Reviews. 8(3). 300–301. 2 indexed citations
19.
Zhao, Juan, Jianshi Jin, Chunhui Wu, et al.. (2010). Highly sensitive identification of cancer cells by combining the new tetrathiafulvalene derivative with a β-cyclodextrin/multi-walled carbon nanotubes modified GCE. The Analyst. 135(11). 2965–2965. 18 indexed citations
20.
Chen, Ya, Wei Liu, Jianshi Jin, et al.. (2008). Rhenium(I) tricarbonyl complexes with bispyridine ligands attached to sulfur-rich core: Syntheses, structures and properties. Journal of Organometallic Chemistry. 694(5). 763–770. 31 indexed citations

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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