Deshun Lu

1.4k total citations
23 papers, 1.1k citations indexed

About

Deshun Lu is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Deshun Lu has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Hematology. Recurrent topics in Deshun Lu's work include Blood Coagulation and Thrombosis Mechanisms (7 papers), Peptidase Inhibition and Analysis (6 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). Deshun Lu is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (7 papers), Peptidase Inhibition and Analysis (6 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). Deshun Lu collaborates with scholars based in United States, Russia and Netherlands. Deshun Lu's co-authors include Ghassan S. Kassab, J. Evan Sadler, X. Long Zheng, Xin Yuan, George L. Long, Rolf P. Kreutz, David A. Flockhart, Qingyu Wu, Lisa A. Westfield and Ronglin Xie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Deshun Lu

23 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
Deshun Lu United States 16 312 310 244 142 120 23 1.1k
Xia Bai China 19 255 0.8× 394 1.3× 275 1.1× 168 1.2× 95 0.8× 108 1.2k
Yuichi Nakamura Japan 18 184 0.6× 393 1.3× 242 1.0× 149 1.0× 111 0.9× 62 1.0k
Jan Willem N. Akkerman Netherlands 18 227 0.7× 254 0.8× 520 2.1× 84 0.6× 80 0.7× 29 1.2k
Lia Guidotti Italy 16 89 0.3× 378 1.2× 240 1.0× 113 0.8× 92 0.8× 27 964
Repin Vs Russia 22 460 1.5× 511 1.6× 194 0.8× 100 0.7× 52 0.4× 136 1.5k
Roger van Kruchten Netherlands 14 233 0.7× 387 1.2× 581 2.4× 100 0.7× 92 0.8× 18 1.6k
Nadeem Wajih United States 18 112 0.4× 378 1.2× 82 0.3× 105 0.7× 75 0.6× 31 1.2k
Lucia Stefanini Italy 23 192 0.6× 379 1.2× 747 3.1× 88 0.6× 109 0.9× 47 1.5k
Jean‐Marc Herbert France 18 250 0.8× 403 1.3× 127 0.5× 94 0.7× 32 0.3× 37 1.2k
Antonija Jurak Begonja Croatia 16 93 0.3× 305 1.0× 649 2.7× 105 0.7× 136 1.1× 38 1.2k

Countries citing papers authored by Deshun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Deshun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deshun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Deshun Lu. A scholar is included among the top collaborators of Deshun Lu 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 Deshun Lu. Deshun Lu 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.
Nguyen, Khoa A., Lang Li, Deshun Lu, et al.. (2018). A comprehensive review and meta-analysis of risk factors for statin-induced myopathy. European Journal of Clinical Pharmacology. 74(9). 1099–1109. 52 indexed citations
2.
Wu, Heng‐Yi, Deshun Lu, Shijun Zhang, et al.. (2018). DrugMetab: An Integrated Machine Learning and Lexicon Mapping Named Entity Recognition Method for Drug Metabolite. CPT Pharmacometrics & Systems Pharmacology. 7(11). 709–717. 2 indexed citations
3.
4.
Lu, Deshun, et al.. (2013). Inhibition of Cytochrome P450 Enzymes by the E- and Z-Isomers of Norendoxifen. Drug Metabolism and Disposition. 41(9). 1715–1720. 16 indexed citations
5.
Lu, Deshun, et al.. (2013). Plasma and Whole Blood Clot Strength Measured by Thrombelastography in Patients Treated with Clopidogrel during Acute Coronary Syndromes. Thrombosis Research. 132(2). e94–e98. 22 indexed citations
6.
Kreutz, Rolf P., et al.. (2013). C-reactive protein and fibrin clot strength measured by thrombelastography after coronary stenting. Blood Coagulation & Fibrinolysis. 24(3). 321–326. 14 indexed citations
7.
Lv, Wei, et al.. (2013). Synthesis of Mixed (E,Z)-, (E)-, and (Z)-Norendoxifen with Dual Aromatase Inhibitory and Estrogen Receptor Modulatory Activities. Journal of Medicinal Chemistry. 56(11). 4611–4618. 48 indexed citations
8.
Kreutz, Rolf P., et al.. (2012). Protease activated receptor-1 (PAR-1) mediated platelet aggregation is dependant on clopidogrel response. Thrombosis Research. 130(2). 198–202. 15 indexed citations
9.
Lu, Deshun & Ghassan S. Kassab. (2011). Role of shear stress and stretch in vascular mechanobiology. Journal of The Royal Society Interface. 8(63). 1379–1385. 244 indexed citations
10.
Qian, Yuewei, Robert J. Schmidt, Youyan Zhang, et al.. (2007). Secreted PCSK9 downregulates low density lipoprotein receptor through receptor-mediated endocytosis. Journal of Lipid Research. 48(7). 1488–1498. 194 indexed citations
11.
Gifford‐Moore, Donetta S., et al.. (2005). Inhibition of thrombin activatable fibrinolysis inhibitor by cysteine derivatives. Thrombosis Research. 116(3). 265–271. 11 indexed citations
12.
Lu, Deshun, Xiu‐Juan Yuan, Robert J. Evans, et al.. (2005). Cloning and functional characterization of the rabbit C-C chemokine receptor 2. BMC Immunology. 6(1). 15–15. 8 indexed citations
13.
Замолодчикова, Т. С., et al.. (2000). Activation of recombinant proenteropeptidase by duodenase. FEBS Letters. 466(2-3). 295–299. 35 indexed citations
14.
Zheng, X. Long, Deshun Lu, & J. Evan Sadler. (1999). Apical Sorting of Bovine Enteropeptidase Does Not Involve Detergent-resistant Association with Sphingolipid-Cholesterol Rafts. Journal of Biological Chemistry. 274(3). 1596–1605. 54 indexed citations
15.
Lu, Deshun, Klaus Fütterer, Sergey Korolev, et al.. (1999). Crystal structure of enteropeptidase light chain complexed with an analog of the trypsinogen activation peptide 1 1Edited by R. Huber. Journal of Molecular Biology. 292(2). 361–373. 84 indexed citations
16.
Long, George L., Deshun Lu, Ronglin Xie, & Michael Kalafatis. (1998). Human Protein S Cleavage and Inactivation by Coagulation Factor Xa. Journal of Biological Chemistry. 273(19). 11521–11526. 33 indexed citations
17.
Wu, Qingyu, Lisa A. Westfield, Elodee A. Tuley, et al.. (1998). Incomplete embryonic lethality and fatal neonatal hemorrhage caused by prothrombin deficiency in mice. Proceedings of the National Academy of Sciences. 95(13). 7603–7607. 123 indexed citations
18.
Lu, Deshun, Xin Yuan, X. Long Zheng, & J. Evan Sadler. (1997). Bovine Proenteropeptidase Is Activated by Trypsin, and the Specificity of Enteropeptidase Depends on the Heavy Chain. Journal of Biological Chemistry. 272(50). 31293–31300. 79 indexed citations
19.
Lu, Deshun, Ronglin Xie, Andrzej Rydzewski, & George L. Long. (1997). The Effect of N-linked Glycosylation on Molecular Weight, Thrombin Cleavage, and Functional Activity of Human Protein S. Thrombosis and Haemostasis. 77(6). 1156–1163. 24 indexed citations
20.
Lu, Deshun, et al.. (1994). Structure of mouse protein S as determined by PCR amplification and DNA sequencing of cDNA. Thrombosis Research. 74(2). 135–142. 9 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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