Sen Shi

1.4k total citations
23 papers, 1.1k citations indexed

About

Sen Shi is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sen Shi has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sen Shi's work include Peptidase Inhibition and Analysis (7 papers), Diabetes Treatment and Management (7 papers) and Chronic Kidney Disease and Diabetes (4 papers). Sen Shi is often cited by papers focused on Peptidase Inhibition and Analysis (7 papers), Diabetes Treatment and Management (7 papers) and Chronic Kidney Disease and Diabetes (4 papers). Sen Shi collaborates with scholars based in Japan, China and United States. Sen Shi's co-authors include Daisuke Koya, Keizo Kanasaki, Munehiro Kitada, Swayam Prakash Srivastava, Takako Nagai, Megumi Kanasaki, Jianhua He, Yuka Nakamura, Yasuhito Ishigaki and Kyoko Nitta and has published in prestigious journals such as Cancer Research, Diabetes and Scientific Reports.

In The Last Decade

Sen Shi

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sen Shi Japan 14 448 347 285 209 197 23 1.1k
Yuta Takagaki Japan 10 293 0.7× 211 0.6× 124 0.4× 157 0.8× 86 0.4× 15 711
Masayuki Hosoi Japan 19 472 1.1× 300 0.9× 140 0.5× 240 1.1× 117 0.6× 42 1.4k
Akiko Ishii Japan 24 738 1.6× 205 0.6× 111 0.4× 231 1.1× 62 0.3× 75 1.6k
Hui Sun China 21 673 1.5× 1.0k 3.0× 382 1.3× 82 0.4× 277 1.4× 114 2.2k
Daisuke Ito Japan 14 573 1.3× 283 0.8× 291 1.0× 32 0.2× 86 0.4× 48 1.2k
Marie Jeansson Sweden 19 807 1.8× 195 0.6× 166 0.6× 911 4.4× 103 0.5× 28 2.0k
Nathalie Fiaschi‐Taesch United States 24 886 2.0× 487 1.4× 339 1.2× 97 0.5× 67 0.3× 34 1.7k
Ningling Kang United States 21 675 1.5× 68 0.2× 284 1.0× 44 0.2× 254 1.3× 32 1.5k

Countries citing papers authored by Sen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Sen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Shi. A scholar is included among the top collaborators of Sen 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 Sen Shi. Sen Shi 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.
Yang, Bo, et al.. (2024). Construction of Human Resource Manager Competency Model Based on Data Mining Technology in Cross-Cultural Background. International Journal of Information Technologies and Systems Approach. 17(1). 1–17.
2.
3.
J, Li, et al.. (2023). Harnessing interventions during the immediate perioperative period to improve the long-term survival of patients following radical gastrectomy. World Journal of Gastrointestinal Surgery. 15(4). 520–533. 2 indexed citations
4.
Liu, Cuiyun, et al.. (2022). MicroRNA-485-3p Promotes the Inflammatory Response and Extracellular Matrix Deposition by Activating Wnt/β-Catenin Signaling in Human Airway Smooth Muscle Cells. Critical Reviews in Eukaryotic Gene Expression. 33(4). 1–12. 1 indexed citations
5.
Wang, Li, et al.. (2022). 3D printed 0–3 type piezoelectric composites with high voltage sensitivity. Ceramics International. 48(9). 12559–12568. 13 indexed citations
6.
Song, Li, et al.. (2022). Dexmedetomidine Protects Against Kidney Fibrosis in Diabetic Mice by Targeting miR-101-3p-Mediated EndMT. Dose-Response. 20(1). 1495833438–1495833438. 9 indexed citations
7.
Shi, Sen, Li Song, Hao Yu, et al.. (2020). Knockdown of LncRNA-H19 Ameliorates Kidney Fibrosis in Diabetic Mice by Suppressing miR-29a-Mediated EndMT. Frontiers in Pharmacology. 11. 586895–586895. 50 indexed citations
8.
9.
Takagaki, Yuta, Sen Shi, Makoto Katoh, et al.. (2019). Dipeptidyl peptidase-4 plays a pathogenic role in BSA-induced kidney injury in diabetic mice. Scientific Reports. 9(1). 7519–7519. 25 indexed citations
10.
Li, Jinpeng, Sen Shi, Swayam Prakash Srivastava, et al.. (2017). FGFR1 is critical for the anti-endothelial mesenchymal transition effect of N-acetyl-seryl-aspartyl-lysyl-proline via induction of the MAP4K4 pathway. Cell Death and Disease. 8(8). e2965–e2965. 53 indexed citations
11.
Shi, Sen, Daisuke Koya, & Keizo Kanasaki. (2016). Dipeptidyl peptidase-4 and kidney fibrosis in diabetes. PubMed. 9(1). 1–1. 51 indexed citations
12.
Srivastava, Swayam Prakash, Sen Shi, Megumi Kanasaki, et al.. (2016). Effect of Antifibrotic MicroRNAs Crosstalk on the Action of N-acetyl-seryl-aspartyl-lysyl-proline in Diabetes-related Kidney Fibrosis. Scientific Reports. 6(1). 29884–29884. 56 indexed citations
13.
14.
Shi, Sen, Keizo Kanasaki, & Daisuke Koya. (2016). Linagliptin but not Sitagliptin inhibited transforming growth factor-β2-induced endothelial DPP-4 activity and the endothelial-mesenchymal transition. Biochemical and Biophysical Research Communications. 471(1). 184–190. 38 indexed citations
15.
Song, Li, et al.. (2016). Protective role of propofol on the kidney during early unilateral ureteral obstruction through inhibition of epithelial-mesenchymal transition.. PubMed. 8(2). 460–72. 10 indexed citations
16.
Song, Li, et al.. (2016). Ketamine Inhalation Ameliorates Ovalbumin-Induced Murine Asthma by Suppressing the Epithelial-Mesenchymal Transition. Medical Science Monitor. 22. 2471–2483. 10 indexed citations
17.
Nitta, Kyoko, Sen Shi, Takako Nagai, et al.. (2016). Oral Administration of N-Acetyl-seryl-aspartyl-lysyl-proline Ameliorates Kidney Disease in Both Type 1 and Type 2 Diabetic Mice via a Therapeutic Regimen. BioMed Research International. 2016. 1–11. 36 indexed citations
18.
Shi, Sen, Swayam Prakash Srivastava, Megumi Kanasaki, et al.. (2015). Interactions of DPP-4 and integrin β1 influences endothelial-to-mesenchymal transition. Kidney International. 88(3). 479–489. 130 indexed citations
19.
Srivastava, Swayam Prakash, Sen Shi, Daisuke Koya, & Keizo Kanasaki. (2014). Lipid mediators in diabetic nephropathy. PubMed. 7(1). 12–12. 62 indexed citations
20.

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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