CongBao Kang

5.6k total citations
134 papers, 4.2k citations indexed

About

CongBao Kang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, CongBao Kang has authored 134 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 40 papers in Public Health, Environmental and Occupational Health and 28 papers in Infectious Diseases. Recurrent topics in CongBao Kang's work include Mosquito-borne diseases and control (38 papers), Malaria Research and Control (25 papers) and Viral Infections and Vectors (21 papers). CongBao Kang is often cited by papers focused on Mosquito-borne diseases and control (38 papers), Malaria Research and Control (25 papers) and Viral Infections and Vectors (21 papers). CongBao Kang collaborates with scholars based in Singapore, China and United States. CongBao Kang's co-authors include Qingxin Li, Ho Sup Yoon, Yan Li, Shovanlal Gayen, Dahai Luo, Pei‐Yong Shi, Xuping Xie, Ying Ru Loh, Thomas H. Keller and Hong Ye and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

CongBao Kang

131 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
CongBao Kang Singapore 35 1.8k 1.7k 1.1k 480 389 134 4.2k
Banumathi Sankaran United States 42 3.3k 1.8× 312 0.2× 1.3k 1.2× 477 1.0× 69 0.2× 161 6.0k
Audrey R. Odom John United States 29 1.7k 1.0× 660 0.4× 784 0.7× 668 1.4× 45 0.1× 81 3.5k
Hao Xu China 28 1.5k 0.8× 534 0.3× 628 0.6× 338 0.7× 81 0.2× 79 3.4k
Timothy Palzkill United States 49 3.1k 1.8× 262 0.2× 1.0k 0.9× 825 1.7× 56 0.1× 180 6.8k
Gerhard Grüber Singapore 38 3.7k 2.1× 588 0.3× 1.2k 1.1× 611 1.3× 247 0.6× 222 5.6k
Yves Jacob France 40 1.4k 0.8× 481 0.3× 932 0.8× 1.1k 2.3× 46 0.1× 103 3.9k
Thomas S. Walter United Kingdom 28 1.4k 0.8× 275 0.2× 643 0.6× 330 0.7× 87 0.2× 52 2.7k
Matthew K. Higgins United Kingdom 35 1.7k 1.0× 1.9k 1.1× 202 0.2× 516 1.1× 57 0.1× 86 4.3k
Robin J. Leatherbarrow United Kingdom 44 3.2k 1.8× 522 0.3× 217 0.2× 437 0.9× 37 0.1× 118 4.7k
Franck Fieschi France 37 2.7k 1.5× 442 0.3× 695 0.6× 550 1.1× 71 0.2× 119 5.2k

Countries citing papers authored by CongBao Kang

Since Specialization
Citations

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

Fields of papers citing papers by CongBao Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of CongBao Kang

This figure shows the co-authorship network connecting the top 25 collaborators of CongBao Kang. A scholar is included among the top collaborators of CongBao Kang 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 CongBao Kang. CongBao Kang 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.
Wang, Sifang, Qiwei Huang, Xiaoying Koh, et al.. (2023). Identification and characterization of inhibitors covalently modifying catalytic cysteine of UBE2T and blocking ubiquitin transfer. Biochemical and Biophysical Research Communications. 689. 149238–149238. 2 indexed citations
2.
Kang, CongBao, Tengling Ye, Dongqing He, et al.. (2023). A novel perylene diimide-based ionene polymer and its mixed cathode interlayer strategy for efficient and stable inverted perovskite solar cells. Journal of Energy Chemistry. 82. 334–342. 14 indexed citations
3.
Li, Qingxin & CongBao Kang. (2023). Targeting RNA‐binding proteins with small molecules: Perspectives, pitfalls and bifunctional molecules. FEBS Letters. 597(16). 2031–2047. 15 indexed citations
4.
Tan, Yaw Bia, Laura Sandra Lello, Xin Liu, et al.. (2021). Crystal structures of alphavirus nonstructural protein 4 (nsP4) reveal an intrinsically dynamic RNA-dependent RNA polymerase fold. Nucleic Acids Research. 50(2). 1000–1016. 29 indexed citations
5.
Karataş, Hacer, Mohammad Akbarzadeh, Hélène Adihou, et al.. (2020). Discovery of Covalent Inhibitors Targeting the Transcriptional Enhanced Associate Domain Central Pocket. Journal of Medicinal Chemistry. 63(20). 11972–11989. 43 indexed citations
6.
Ng, Elizabeth Yihui, Ying Ru Loh, Yan Li, Qingxin Li, & CongBao Kang. (2018). Expression, purification of Zika virus membrane protein-NS2B in detergent micelles for NMR studies. Protein Expression and Purification. 154. 1–6. 14 indexed citations
7.
Li, Yan & CongBao Kang. (2017). Solution NMR Spectroscopy in Target-Based Drug Discovery. Molecules. 22(9). 1399–1399. 31 indexed citations
8.
Li, Qingxin & CongBao Kang. (2017). Erythropoietin Receptor Structural Domains. Vitamins and hormones. 105. 1–17. 2 indexed citations
9.
Li, Yan, Zhenzhen Zhang, Wint Wint Phoo, et al.. (2017). Structural Dynamics of Zika Virus NS2B-NS3 Protease Binding to Dipeptide Inhibitors. Structure. 25(8). 1242–1250.e3. 90 indexed citations
10.
Phoo, Wint Wint, Yan Li, Zhenzhen Zhang, et al.. (2016). Structure of the NS2B-NS3 protease from Zika virus after self-cleavage. Nature Communications. 7(1). 13410–13410. 177 indexed citations
11.
Meng, Xianyong, et al.. (2016). The diagnosis and therapeutic value of MRI images typing for brucella spondylitis disease. 21(2). 101–108. 1 indexed citations
12.
Li, Yan, Youngmee Kim, Jing Zou, et al.. (2015). Secondary structure and membrane topology of dengue virus NS4B N-terminal 125 amino acids. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1848(12). 3150–3157. 38 indexed citations
13.
Li, Yan, et al.. (2015). Membrane topology of NS2B of dengue virus revealed by NMR spectroscopy. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1848(10). 2244–2252. 68 indexed citations
14.
Rajan, S. S., Quoc Toan Nguyen, Hong Ye, et al.. (2015). Structural transition in Bcl-xL and its potential association with mitochondrial calcium ion transport. Scientific Reports. 5(1). 10609–10609. 16 indexed citations
15.
Li, Yan, et al.. (2015). Backbone assignment of the N-terminal 24-kDa fragment of Escherichia coli topoisomerase IV ParE subunit. Biomolecular NMR Assignments. 10(1). 135–138. 8 indexed citations
16.
Poulsen, Anders, CongBao Kang, & Thomas H. Keller. (2014). Drug Design For Flavivirus Proteases: What Are We Missing?. Current Pharmaceutical Design. 20(21). 3422–3427. 31 indexed citations
17.
Li, Qingxin, et al.. (2014). Structural Insight into the Transmembrane Domain and the Juxtamembrane Region of the Erythropoietin Receptor in Micelles. Biophysical Journal. 107(10). 2325–2336. 23 indexed citations
18.
Yıldız, Ahu Arslan, CongBao Kang, & Eva‐Kathrin Sinner. (2013). Biomimetic membrane platform containing hERG potassium channel and its application to drug screening. The Analyst. 138(7). 2007–2007. 21 indexed citations
19.
20.
Kang, CongBao, et al.. (2006). Molecular and structural characterization of the domain 2 of hepatitis C virus non-structural protein 5A.. PubMed. 22(1). 13–20. 18 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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