David Jin

8.3k total citations · 2 hit papers
48 papers, 3.4k citations indexed

About

David Jin is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, David Jin has authored 48 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Hematology. Recurrent topics in David Jin's work include Angiogenesis and VEGF in Cancer (12 papers), Multiple Myeloma Research and Treatments (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). David Jin is often cited by papers focused on Angiogenesis and VEGF in Cancer (12 papers), Multiple Myeloma Research and Treatments (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). David Jin collaborates with scholars based in United States, China and Norway. David Jin's co-authors include Shahin Rafii, Isabelle Petit, David Lyden, Koji Shido, Ronald G. Crystal, Neil R. Hackett, Scott T. Avecilla, Andrea T. Hooper, Till Milde and Shuguang Zhang and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

David Jin

46 papers receiving 3.3k citations

Hit Papers

CD133 expression is not restricted to stem cells, and bot... 2003 2026 2010 2018 2008 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Jin United States 23 1.6k 1.3k 682 619 480 48 3.4k
Valeria Ossovskaya United States 18 1.1k 0.7× 916 0.7× 663 1.0× 487 0.8× 242 0.5× 31 2.4k
Frédéric Mazurier France 29 1.6k 1.0× 498 0.4× 758 1.1× 457 0.7× 437 0.9× 67 2.8k
David J. Shields United States 23 1.7k 1.1× 648 0.5× 520 0.8× 634 1.0× 315 0.7× 44 3.2k
Hao Xiong United States 29 2.0k 1.2× 1.6k 1.2× 430 0.6× 377 0.6× 492 1.0× 132 4.4k
Keisuke Kataoka Japan 31 1.2k 0.7× 683 0.5× 877 1.3× 309 0.5× 718 1.5× 145 3.0k
Wadie F. Bahou United States 36 1.5k 1.0× 686 0.5× 1.5k 2.2× 1.2k 1.9× 430 0.9× 95 4.3k
Johan Lennartsson Sweden 31 1.8k 1.1× 715 0.6× 388 0.6× 321 0.5× 880 1.8× 76 3.5k
Eishi Ashihara Japan 40 1.9k 1.2× 1.0k 0.8× 1.3k 2.0× 393 0.6× 1.1k 2.2× 193 4.6k
Julie Guillermet‐Guibert France 26 2.3k 1.4× 956 0.7× 268 0.4× 392 0.6× 469 1.0× 53 3.9k

Countries citing papers authored by David Jin

Since Specialization
Citations

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

Fields of papers citing papers by David Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Jin

This figure shows the co-authorship network connecting the top 25 collaborators of David Jin. A scholar is included among the top collaborators of David 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 David Jin. David 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.
Zhang, Zhenzhen, Yuanyuan Song, Qing Hu, et al.. (2025). Unraveling the therapeutic mechanisms of Bufei Yiqi decoction in pulmonary fibrosis: Modulation of autophagy and glycolysis pathways. International Immunopharmacology. 162. 115030–115030.
2.
Qing, Rui, Mantian Xue, Jiayuan Zhao, et al.. (2023). Scalable biomimetic sensing system with membrane receptor dual-monolayer probe and graphene transistor arrays. Science Advances. 9(29). eadf1402–eadf1402. 23 indexed citations
3.
Jin, David, et al.. (2022). Dedicated Next Day Discharge Post Minimalist TAVI: The Tasmanian Experience. Heart Lung and Circulation. 32(2). 232–239. 2 indexed citations
5.
Zayni, Sonja, Samar Damiati, Susana Moreno‐Flores, et al.. (2021). Enhancing the Cell-Free Expression of Native Membrane Proteins by In Silico Optimization of the Coding Sequence—An Experimental Study of the Human Voltage-Dependent Anion Channel. Membranes. 11(10). 741–741. 3 indexed citations
6.
Hao, Shilei, David Jin, Shuguang Zhang, & Rui Qing. (2020). QTY Code-designed Water-soluble Fc-fusion Cytokine Receptors Bind to their Respective Ligands. SHILAP Revista de lepidopterología. 1. e4–e4. 26 indexed citations
7.
Liu, Yuanyuan, Yide Yang, Haiqiang Jin, et al.. (2017). Discrepant relationships between admission blood pressure and mortality in different stroke subtypes. Journal of the Neurological Sciences. 383. 47–51. 5 indexed citations
8.
Zhang, Baiyu, David Jin, & Xiujian Zhao. (2013). Advanced Research on Material Engineering, Chemistry, Bioinformatics III. Trans Tech Publications Ltd. eBooks. 1 indexed citations
9.
Zhang, Baiyu & David Jin. (2012). Advanced Research on Material Engineering, Chemistry, Bioinformatics II. Trans Tech Publications Ltd. eBooks. 2 indexed citations
10.
Zhang, Baiyu & David Jin. (2011). Advanced Research on Advanced Structure, Materials and Engineering. Trans Tech Publications Ltd. eBooks. 1 indexed citations
11.
Zhang, Baiyu, et al.. (2011). Advanced Research on Information Science, Automation and Material System. Trans Tech Publications Ltd. eBooks. 3 indexed citations
12.
Duan, Wenrui, Li Gao, David Jin, Gregory A. Otterson, & Miguel A. Villalona‐Calero. (2007). Lung specific expression of a human mutant p53 affects cell proliferation in transgenic mice. Transgenic Research. 17(3). 355–366. 14 indexed citations
13.
Petit, Isabelle, David Jin, & Shahin Rafii. (2007). The SDF-1–CXCR4 signaling pathway: a molecular hub modulating neo-angiogenesis. Trends in Immunology. 28(7). 299–307. 486 indexed citations
14.
Kopp, Hans‐Georg, Andrea T. Hooper, M. Johan Broekman, et al.. (2006). Thrombospondins deployed by thrombopoietic cells determine angiogenic switch and extent of revascularization. Journal of Clinical Investigation. 116(12). 3277–3291. 80 indexed citations
15.
Bernardi, Rosa, Ilhem Guernah, David Jin, et al.. (2006). PML inhibits HIF-1α translation and neoangiogenesis through repression of mTOR. Nature. 442(7104). 779–785. 314 indexed citations
16.
Kermani, Pouneh, David Jin, Wendy Schaffer, et al.. (2005). Neurotrophins promote revascularization by local recruitment of TrkB+ endothelial cells and systemic mobilization of hematopoietic progenitors. Journal of Clinical Investigation. 115(3). 653–663. 74 indexed citations
17.
Kermani, Pouneh, David Jin, Wendy Schaffer, et al.. (2005). Neurotrophins promote revascularization by local recruitment of TrkB+ endothelial cells and systemic mobilization of hematopoietic progenitors. Journal of Clinical Investigation. 115(3). 653–663. 200 indexed citations
18.
Zhang, Fan, Joseph Cheng, Neil R. Hackett, et al.. (2004). Adenovirus E4 Gene Promotes Selective Endothelial Cell Survival and Angiogenesis via Activation of the Vascular Endothelial-Cadherin/Akt Signaling Pathway. Journal of Biological Chemistry. 279(12). 11760–11766. 40 indexed citations
19.
Essex, David W., et al.. (1998). Late-onset warfarin-induced skin necrosis: case report and review of the literature. American Journal of Hematology. 57(3). 233–237. 58 indexed citations
20.
Jin, David & Miriam H. Feuerman. (1998). Genetic mapping of Afr2 (Rif): regulator of gene expression in liver regeneration. Mammalian Genome. 9(3). 256–258. 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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