Cheng‐Wu Chi

2.7k total citations
93 papers, 2.2k citations indexed

About

Cheng‐Wu Chi is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, Cheng‐Wu Chi has authored 93 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 16 papers in Genetics and 11 papers in Biotechnology. Recurrent topics in Cheng‐Wu Chi's work include Nicotinic Acetylcholine Receptors Study (46 papers), Ion channel regulation and function (38 papers) and Receptor Mechanisms and Signaling (30 papers). Cheng‐Wu Chi is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (46 papers), Ion channel regulation and function (38 papers) and Receptor Mechanisms and Signaling (30 papers). Cheng‐Wu Chi collaborates with scholars based in China, United States and Belgium. Cheng‐Wu Chi's co-authors include Jan Tytgat, Cyril Goudet, Chunguang Wang, Xiao‐Xia Shao, Ruifeng Qi, Chengzhong Wang, Yumei Xiong, Yuhong Han, Zhengdao Lan and Minhua Ling and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Cheng‐Wu Chi

93 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng‐Wu Chi China 29 1.9k 661 213 189 184 93 2.2k
Mark J. Dufton United Kingdom 20 1.2k 0.6× 835 1.3× 52 0.2× 86 0.5× 221 1.2× 48 1.7k
Naziha Marrakchi Tunisia 24 1.1k 0.6× 1.1k 1.7× 188 0.9× 37 0.2× 96 0.5× 100 1.9k
Robson L. Melo Brazil 22 599 0.3× 459 0.7× 197 0.9× 153 0.8× 85 0.5× 44 1.2k
Tomoji Suzuki Japan 26 996 0.5× 739 1.1× 77 0.4× 103 0.5× 133 0.7× 102 1.9k
Paramjit S. Bansal Australia 19 955 0.5× 152 0.2× 222 1.0× 169 0.9× 32 0.2× 41 1.2k
Mary B. Moyer United States 25 2.0k 1.0× 429 0.6× 46 0.2× 104 0.6× 160 0.9× 37 3.5k
Olivier Cheneval Australia 17 717 0.4× 235 0.4× 216 1.0× 55 0.3× 50 0.3× 28 878
Alain Chavanieu France 20 1.3k 0.7× 184 0.3× 461 2.2× 73 0.4× 46 0.3× 51 1.9k
César de Haro Spain 18 1.2k 0.6× 111 0.2× 134 0.6× 50 0.3× 36 0.2× 29 1.5k
Teresa Jakubowicz Poland 18 1.2k 0.6× 120 0.2× 161 0.8× 160 0.8× 409 2.2× 47 1.8k

Countries citing papers authored by Cheng‐Wu Chi

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Wu Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Wu Chi. 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 Cheng‐Wu Chi. The network helps show where Cheng‐Wu Chi may publish in the future.

Co-authorship network of co-authors of Cheng‐Wu Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Wu Chi. A scholar is included among the top collaborators of Cheng‐Wu Chi 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 Cheng‐Wu Chi. Cheng‐Wu Chi 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.
Li, Min, Shan Chang, Jingyi Shi, et al.. (2014). Conopeptide Vt3.1 Preferentially Inhibits BK Potassium Channels Containing β4 Subunits via Electrostatic Interactions. Journal of Biological Chemistry. 289(8). 4735–4742. 14 indexed citations
2.
Ye, Mingyu, Keith K. Khoo, Matthew A. Perugini, et al.. (2012). A Helical Conotoxin from Conus imperialis Has a Novel Cysteine Framework and Defines a New Superfamily. Journal of Biological Chemistry. 287(18). 14973–14983. 28 indexed citations
3.
Wang, Zhiqiang, et al.. (2010). Snapshot of the interaction between HIV envelope glycoprotein 120 and protein disulfide isomerase. Acta Biochimica et Biophysica Sinica. 42(5). 358–362. 8 indexed citations
4.
Bao, Rui, Cong‐Zhao Zhou, Chunhui Jiang, et al.. (2009). The Ternary Structure of the Double-headed Arrowhead Protease Inhibitor API-A Complexed with Two Trypsins Reveals a Novel Reactive Site Conformation. Journal of Biological Chemistry. 284(39). 26676–26684. 49 indexed citations
5.
Wang, Suming, Lijun Huang, Dieter Wicher, Cheng‐Wu Chi, & Chenqi Xu. (2008). Structure-function relationship of bifunctional scorpion toxin BmBKTx1. Acta Biochimica et Biophysica Sinica. 40(11). 955–963. 3 indexed citations
6.
Han, Yuhong, Hui Jiang, Li Liu, et al.. (2008). Purification and structural characterization of a d‐amino acid‐containing conopeptide, conomarphin, from Conus marmoreus. FEBS Journal. 275(9). 1976–1987. 38 indexed citations
7.
Liu, Li, et al.. (2008). Identification of a novel S-superfamily conotoxin from vermivorous Conus caracteristicus. Toxicon. 51(8). 1331–1337. 12 indexed citations
8.
Han, Jinbo, Jianxin Gu, & Cheng‐Wu Chi. (2007). Possible Role of Histone H1 in the Regulation of Furin-dependent Proprotein Processing. Acta Biochimica et Biophysica Sinica. 39(3). 173–180. 1 indexed citations
9.
Han, Yuhong, et al.. (2007). From the identification of gene organization of α conotoxins to the cloning of novel toxins. Toxicon. 49(8). 1135–1149. 51 indexed citations
10.
Liu, Li, et al.. (2007). Two Potent α3/5 Conotoxins from Piscivorous <italic>Conus achatinus</italic>. Acta Biochimica et Biophysica Sinica. 39(6). 438–444. 25 indexed citations
11.
Du, Weihong, et al.. (2007). Solution structure of an M‐1 conotoxin with a novel disulfide linkage. FEBS Journal. 274(10). 2596–2602. 25 indexed citations
12.
Tao, Hu, Zhen Zhang, Jiahao Shi, et al.. (2006). Template‐assisted rational design of peptide inhibitors of furin using the lysine fragment of the mung bean trypsin inhibitor. FEBS Journal. 273(17). 3907–3914. 1 indexed citations
13.
Jiang, Hui, Chenqi Xu, Chengzhong Wang, et al.. (2006). Two novel O-superfamily conotoxins from Conus vexillum. Toxicon. 47(4). 425–436. 12 indexed citations
14.
Qi, Ruifeng, et al.. (2005). Structural Features and Molecular Evolution of Bowman-Birk Protease Inhibitors and their Potential Application. Acta Biochimica et Biophysica Sinica. 37(5). 283–292. 135 indexed citations
15.
Wang, Chengzhong & Cheng‐Wu Chi. (2004). <italic>Conus</italic> Peptides—A Rich Pharmaceutical Treasure. Acta Biochimica et Biophysica Sinica. 36(11). 713–723. 39 indexed citations
16.
Xu, Chenqi, Linlin He, Bert Brône, et al.. (2004). A novel scorpion toxin blocking small conductance Ca2+ activated K+ channel. Toxicon. 43(8). 961–971. 15 indexed citations
17.
Liu, Zhixue, Fei Hao, & Cheng‐Wu Chi. (2003). Two engineered eglin c mutants potently and selectively inhibiting kexin or furin. FEBS Letters. 556(1-3). 116–120. 10 indexed citations
18.
Goudet, Cyril, Cheng‐Wu Chi, & Jan Tytgat. (2002). An overview of toxins and genes from the venom of the Asian scorpion Buthus martensi Karsch. Toxicon. 40(9). 1239–1258. 234 indexed citations
19.
Luo, Mingjuan, Yumei Xiong, Miao Wang, Da‐Cheng Wang, & Cheng‐Wu Chi. (1997). Purification and sequence determination of a new neutral mammalian neurotoxin from the scorpion Buthus martensii Karsch. Toxicon. 35(5). 723–731. 29 indexed citations
20.
Lin, G., Wolfram Bode, Robert Huber, Cheng‐Wu Chi, & Richard A. Engh. (1993). The 0.25‐nm X‐ray structure of the Bowman‐Birk‐type inhibitor from mung bean in ternary complex with porcine trypsin. European Journal of Biochemistry. 212(2). 549–555. 72 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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