Sen Ji

1.1k total citations
23 papers, 796 citations indexed

About

Sen Ji is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Hematology. According to data from OpenAlex, Sen Ji has authored 23 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 3 papers in Hematology. Recurrent topics in Sen Ji's work include Cardiac electrophysiology and arrhythmias (7 papers), Cardiac Arrhythmias and Treatments (6 papers) and Epigenetics and DNA Methylation (4 papers). Sen Ji is often cited by papers focused on Cardiac electrophysiology and arrhythmias (7 papers), Cardiac Arrhythmias and Treatments (6 papers) and Epigenetics and DNA Methylation (4 papers). Sen Ji collaborates with scholars based in China, United States and Japan. Sen Ji's co-authors include Weijing Sun, Richard Horn, Ming Zhou, Mohamed Chahine, Shengyong Yang, Kalyanam Shivkumar, Linli Li, David A. Cesario, Guo‐Bo Li and James N. Weiss and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Neuron.

In The Last Decade

Sen Ji

22 papers receiving 778 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 Ji China 15 506 377 216 54 50 23 796
Martin N. Andersen Denmark 14 476 0.9× 357 0.9× 93 0.4× 26 0.5× 9 0.2× 19 665
Giovanna Hofmann Italy 11 699 1.4× 331 0.9× 198 0.9× 21 0.4× 19 0.4× 12 805
Thomas Harnois France 14 365 0.7× 53 0.1× 176 0.8× 27 0.5× 10 0.2× 22 617
Núria Villalonga Spain 11 534 1.1× 257 0.7× 158 0.7× 26 0.5× 7 0.1× 13 672
Keith F. Decker United States 13 478 0.9× 262 0.7× 69 0.3× 110 2.0× 12 0.2× 14 661
Jiejia Xu China 16 639 1.3× 81 0.2× 104 0.5× 10 0.2× 14 0.3× 20 741
Fernanda Mello de Queiroz Germany 8 490 1.0× 172 0.5× 132 0.6× 17 0.3× 11 0.2× 9 599
Jean-Marc Soleilhac France 15 341 0.7× 65 0.2× 212 1.0× 28 0.5× 14 0.3× 22 633
Christopher K. Means United States 9 869 1.7× 329 0.9× 83 0.4× 14 0.3× 11 0.2× 11 1.0k
Roberta Peruzzo Italy 15 399 0.8× 33 0.1× 54 0.3× 24 0.4× 11 0.2× 20 546

Countries citing papers authored by Sen Ji

Since Specialization
Citations

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

Fields of papers citing papers by Sen Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Ji. A scholar is included among the top collaborators of Sen Ji 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 Ji. Sen Ji 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.
Ji, Sen, Xiao Hu, Yan Wang, et al.. (2025). Discovery of BT-114143, a Novel and Potent Phosphoric Acid-Containing Small-Molecule Plasminogen Activation Inhibitor for Hyperfibrinolysis. Journal of Medicinal Chemistry. 68(6). 6084–6099.
2.
Han, Shuai, Sen Ji, Shanshan Liu, et al.. (2023). Mixed-valent Nb boosted the electrochemical performance of K3Nb6P4O26@C anode material for lithium-ion batteries. Journal of Alloys and Compounds. 953. 170160–170160. 5 indexed citations
3.
Liu, Chang, Danian Nie, Shuyi Li, et al.. (2022). Loss of PRMT7 reprograms glycine metabolism to selectively eradicate leukemia stem cells in CML. Cell Metabolism. 34(6). 818–835.e7. 43 indexed citations
4.
Yang, Wei, Xiaolong Liu, Chunli Song, et al.. (2020). Structure-activity relationship studies of phenothiazine derivatives as a new class of ferroptosis inhibitors together with the therapeutic effect in an ischemic stroke model. European Journal of Medicinal Chemistry. 209. 112842–112842. 58 indexed citations
5.
Zhao, Mengxin, Jianfeng Wang, Sen Ji, et al.. (2018). Candidate Effector Pst_8713 Impairs the Plant Immunity and Contributes to Virulence of Puccinia striiformis f. sp. tritici. Frontiers in Plant Science. 9. 1294–1294. 45 indexed citations
6.
Zhang, Nannan, Guo Zhang, Ning Liu, et al.. (2017). A novel orally available Syk/Src/Jak2 inhibitor, SKLB-850, showed potent anti-tumor activities in B cell lymphoma (BCL) models. Oncotarget. 8(67). 111495–111507. 6 indexed citations
7.
Liu, Sha, Sen Ji, Zhujun Yu, et al.. (2017). Structure‐based discovery of new selective small‐molecule sirtuin 5 inhibitors. Chemical Biology & Drug Design. 91(1). 257–268. 23 indexed citations
8.
9.
Li, Guo‐Bo, Sen Ji, Lingling Yang, et al.. (2015). LEADOPT: An automatic tool for structure-based lead optimization, and its application in structural optimizations of VEGFR2 and SYK inhibitors. European Journal of Medicinal Chemistry. 93. 523–538. 23 indexed citations
10.
Tang, Yun, Wenjing Wang, Sen Ji, et al.. (2015). Discovery and structure–activity analysis of 4-((5-nitropyrimidin-4-yl)amino)benzimidamide derivatives as novel protein arginine methyltransferase 1 (PRMT1) inhibitors. Bioorganic & Medicinal Chemistry Letters. 25(22). 5449–5453. 14 indexed citations
11.
Li, Yan, Ruiming Zhu, Wenjing Wang, et al.. (2015). Arginine Methyltransferase 1 in the Nucleus Accumbens Regulates Behavioral Effects of Cocaine. Journal of Neuroscience. 35(37). 12890–12902. 25 indexed citations
12.
Zhen, Yan, et al.. (2010). Proteomic analysis of seed development in Chinese fir (Cunninghamia lanceolata). Russian Journal of Plant Physiology. 57(4). 560–567. 1 indexed citations
13.
Wang, Xunzhang, et al.. (2008). One tachycardia with two entrainment responses: What is the mechanism?. Heart Rhythm. 7(1). 136–137. 2 indexed citations
14.
Vaseghi, Marmar, David A. Cesario, Sen Ji, et al.. (2005). Beyond Coronary Sinus Angiography: The Value of Coronary Arteriography and Identification of the Pericardiophrenic Vein During Left Ventricular Lead Placement. Pacing and Clinical Electrophysiology. 28(3). 185–190. 25 indexed citations
15.
Valderrábano, Miguel, David A. Cesario, Sen Ji, et al.. (2004). Percutaneous epicardial mapping during ablation of difficult accessory pathways as an alternative to cardiac surgery. Heart Rhythm. 1(3). 311–316. 44 indexed citations
16.
Ji, Sen, David A. Cesario, Charles D. Swerdlow, & Kalyanam Shivkumar. (2004). Left Ventricular Endocardial Lead Placement Using a Modified Transseptal Approach. Journal of Cardiovascular Electrophysiology. 15(2). 234–236. 21 indexed citations
17.
Ji, Sen, David A. Cesario, Miguel Valderrábano, & Kalyanam Shivkumar. (2004). The molecular basis of cardiac arrhythmias in patients with cardiomyopathy. Current Heart Failure Reports. 1(3). 98–103. 3 indexed citations
18.
Cesario, David A., Miguel Valderrábano, John Cai, et al.. (2004). Electrophysiological Characterization of Cardiac Veins in Humans. Journal of Interventional Cardiac Electrophysiology. 10(3). 241–247. 6 indexed citations
19.
Ji, Sen, Scott John, Yujuan Lu, & James N. Weiss. (1998). Mechanosensitivity of the Cardiac Muscarinic Potassium Channel. Journal of Biological Chemistry. 273(3). 1324–1328. 36 indexed citations
20.
Chahine, Mohamed, et al.. (1994). Sodium channel mutations in paramyotonia congenita uncouple inactivation from activation. Neuron. 12(2). 281–294. 288 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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