Bi-Ing Chang

880 total citations
29 papers, 724 citations indexed

About

Bi-Ing Chang is a scholar working on Hematology, Molecular Biology and Cancer Research. According to data from OpenAlex, Bi-Ing Chang has authored 29 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 10 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Bi-Ing Chang's work include Blood Coagulation and Thrombosis Mechanisms (13 papers), Protease and Inhibitor Mechanisms (7 papers) and Aortic aneurysm repair treatments (5 papers). Bi-Ing Chang is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (13 papers), Protease and Inhibitor Mechanisms (7 papers) and Aortic aneurysm repair treatments (5 papers). Bi-Ing Chang collaborates with scholars based in Taiwan, United States and Russia. Bi-Ing Chang's co-authors include Guey-Yueh Shi, Hua‐Lin Wu, Tsung‐Lin Cheng, Chao‐Han Lai, Cheng‐Hsiang Kuo, Kuan-Chieh Wang, Shixun Dai, Steven H. Overbury, Ben W.‐L. Jang and Chung‐Sheng Shi and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Bi-Ing Chang

29 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bi-Ing Chang Taiwan 18 291 169 148 112 107 29 724
N. Eric Olson United States 14 505 1.7× 148 0.9× 65 0.4× 70 0.6× 216 2.0× 25 966
Oualid Haddad France 18 327 1.1× 155 0.9× 47 0.3× 92 0.8× 137 1.3× 29 965
Kimiko Takahashi Japan 13 308 1.1× 126 0.7× 73 0.5× 73 0.7× 127 1.2× 27 701
Zhen Weng China 12 358 1.2× 63 0.4× 90 0.6× 48 0.4× 85 0.8× 31 661
B M Martin United States 12 483 1.7× 114 0.7× 60 0.4× 96 0.9× 114 1.1× 17 906
Bock Lim Australia 13 293 1.0× 88 0.5× 113 0.8× 109 1.0× 125 1.2× 16 807
Jolanta Niewiarowska Poland 18 493 1.7× 228 1.3× 83 0.6× 113 1.0× 123 1.1× 39 947
Callum J. Campbell United Kingdom 18 459 1.6× 118 0.7× 73 0.5× 89 0.8× 100 0.9× 33 971
Gurunathan Murugesan United States 13 423 1.5× 95 0.6× 234 1.6× 33 0.3× 87 0.8× 21 954
Francine Grondin Canada 12 433 1.5× 184 1.1× 80 0.5× 59 0.5× 97 0.9× 16 851

Countries citing papers authored by Bi-Ing Chang

Since Specialization
Citations

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

Fields of papers citing papers by Bi-Ing Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bi-Ing Chang. 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 Bi-Ing Chang. The network helps show where Bi-Ing Chang may publish in the future.

Co-authorship network of co-authors of Bi-Ing Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Bi-Ing Chang. A scholar is included among the top collaborators of Bi-Ing Chang 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 Bi-Ing Chang. Bi-Ing Chang 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.
2.
Cheng, Tsung‐Lin, Chao‐Kai Hsu, Bi-Ing Chang, et al.. (2024). Regulation of matrix reloading by tumor endothelial marker 1 protects against abdominal aortic aneurysm. International Journal of Biological Sciences. 20(10). 3691–3709. 3 indexed citations
3.
Lee, Yao‐Chou, Tsung‐Lin Cheng, Chao‐Han Lai, et al.. (2019). Tumor Endothelial Marker 1 (TEM1/Endosialin/CD248) Enhances Wound Healing by Interacting with Platelet-Derived Growth Factor Receptors. Journal of Investigative Dermatology. 139(10). 2204–2214.e7. 23 indexed citations
4.
Lai, Chao‐Han, Kuan-Chieh Wang, Cheng‐Hsiang Kuo, et al.. (2017). Recombinant adeno-associated virus vector carrying the thrombomodulin lectin-like domain for the treatment of abdominal aortic aneurysm. Atherosclerosis. 262. 62–70. 13 indexed citations
5.
Lai, Chao‐Han, Kuan-Chieh Wang, Hung-Wen Tsai, et al.. (2016). Toll-Like Receptor 4 Is Essential in the Development of Abdominal Aortic Aneurysm. PLoS ONE. 11(1). e0146565–e0146565. 46 indexed citations
6.
Cheng, Tsung‐Lin, Chao‐Han Lai, Kuan-Chieh Wang, et al.. (2015). Thrombomodulin Promotes Diabetic Wound Healing by Regulating Toll-Like Receptor 4 Expression. Journal of Investigative Dermatology. 135(6). 1668–1675. 20 indexed citations
7.
8.
Kuo, Cheng‐Hsiang, Bi-Ing Chang, Yi-Heng Li, et al.. (2014). FGFR1 mediates recombinant thrombomodulin domain-induced angiogenesis. Cardiovascular Research. 105(1). 107–117. 30 indexed citations
9.
Cheng, Tsung‐Lin, Yu-Ting Wu, Chao‐Han Lai, et al.. (2013). Thrombomodulin Regulates Keratinocyte Differentiation and Promotes Wound Healing. Journal of Investigative Dermatology. 133(6). 1638–1645. 25 indexed citations
10.
Lai, Chao‐Han, Guey-Yueh Shi, Cheng‐Hsiang Kuo, et al.. (2013). Recombinant Human Thrombomodulin Suppresses Experimental Abdominal Aortic Aneurysms Induced by Calcium Chloride in Mice. Annals of Surgery. 258(6). 1103–1110. 25 indexed citations
11.
Wang, Kuan-Chieh, et al.. (2012). The Epidermal Growth Factor-like Domain of CD93 Is a Potent Angiogenic Factor. PLoS ONE. 7(12). e51647–e51647. 48 indexed citations
12.
Cheng, Tsung‐Lin, Yu-Ting Wu, Shikai Liu, et al.. (2011). Functions of Rhomboid Family Protease RHBDL2 and Thrombomodulin in Wound Healing. Journal of Investigative Dermatology. 131(12). 2486–2494. 54 indexed citations
13.
Shi, Chung‐Sheng, Hua‐Lin Wu, Cheng‐Hsiang Kuo, et al.. (2006). Salvianolic acid B modulates hemostasis properties of human umbilical vein endothelial cells. Thrombosis Research. 119(6). 769–775. 41 indexed citations
14.
Talamas, Elijah J., et al.. (2005). Mapping of the Mouse Lens Opacity Locus 11 (lop11). Investigative Ophthalmology & Visual Science. 46(13). 823–823. 1 indexed citations
15.
Chang, Bi-Ing, Ben W.‐L. Jang, Shixun Dai, & Steven H. Overbury. (2005). Transient studies of the mechanisms of CO oxidation over Au/TiO2 using time-resolved FTIR spectroscopy and product analysis. Journal of Catalysis. 236(2). 392–400. 46 indexed citations
16.
Chen, Chih‐Hung, Huey‐Juan Lin, Bi-Ing Chang, et al.. (2001). Functional mutation in the promoter region of thrombomodulin gene in relation to carotid atherosclerosis. Atherosclerosis. 154(3). 713–719. 30 indexed citations
17.
Shi, Guey‐Yueh, et al.. (1996). Regulation of plasminogen activator inhibitor activity by plasmin in endothelial cells. Thrombosis Research. 81(1). 75–84. 4 indexed citations
18.
Shi, G.Y., Bi-Ing Chang, Daqiang Wu, & Hua‐Lin Wu. (1993). Interaction of Immobilized Human Plasminogen and Plasmin with Streptokinase. Biochemical and Biophysical Research Communications. 195(1). 192–200. 7 indexed citations
19.
Chang, Bi-Ing, et al.. (1992). The interaction between Bacillus subtilis sigma-A (σA) factor and RNA polymerase with promoters. Biochimie. 74(7-8). 601–612. 16 indexed citations
20.
Shi, Guey-Yueh, et al.. (1990). Activation of human and bovine plasminogens by the microplasmin and streptokinase complex. Thrombosis Research. 58(3). 317–329. 14 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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