Changhui Yan

1.8k total citations
67 papers, 1.3k citations indexed

About

Changhui Yan is a scholar working on Molecular Biology, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, Changhui Yan has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 17 papers in Plant Science and 9 papers in Computational Theory and Mathematics. Recurrent topics in Changhui Yan's work include Machine Learning in Bioinformatics (20 papers), Protein Structure and Dynamics (18 papers) and RNA and protein synthesis mechanisms (18 papers). Changhui Yan is often cited by papers focused on Machine Learning in Bioinformatics (20 papers), Protein Structure and Dynamics (18 papers) and RNA and protein synthesis mechanisms (18 papers). Changhui Yan collaborates with scholars based in United States, China and Pakistan. Changhui Yan's co-authors include Drena Dobbs, Vasant Honavar, Robert L. Jernigan, Feihong Wu, Michael Terribilini, Jae‐Hyung Lee, Yao‐Ren Dai, Ruihua Tian, Jing Hu and Guiyou Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and Bioinformatics.

In The Last Decade

Changhui Yan

62 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changhui Yan United States 18 845 327 129 93 84 67 1.3k
Castrense Savojardo Italy 19 1.2k 1.5× 215 0.7× 106 0.8× 102 1.1× 73 0.9× 65 1.6k
Mansoor Saqi United Kingdom 18 897 1.1× 353 1.1× 45 0.3× 195 2.1× 87 1.0× 56 1.3k
Stephanie Kim United States 13 914 1.1× 135 0.4× 58 0.4× 114 1.2× 50 0.6× 29 1.4k
Mark D’Souza United States 15 1.7k 2.0× 254 0.8× 64 0.5× 129 1.4× 35 0.4× 29 2.1k
Adiel Cohen Israel 17 1.1k 1.3× 262 0.8× 46 0.4× 31 0.3× 160 1.9× 23 1.6k
Pablo Moreno United Kingdom 20 1.0k 1.2× 508 1.6× 99 0.8× 23 0.2× 35 0.4× 62 1.7k
Krishanpal Anamika India 14 879 1.0× 102 0.3× 66 0.5× 31 0.3× 37 0.4× 25 1.3k
Antje Chang Germany 11 1.3k 1.6× 99 0.3× 172 1.3× 151 1.6× 37 0.4× 13 1.6k
Ioannis Iliopoulos Greece 16 1.1k 1.3× 93 0.3× 96 0.7× 53 0.6× 50 0.6× 47 1.4k
Anand Sethuraman United States 13 866 1.0× 275 0.8× 32 0.2× 20 0.2× 87 1.0× 19 1.3k

Countries citing papers authored by Changhui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Changhui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changhui Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Changhui Yan. A scholar is included among the top collaborators of Changhui Yan 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 Changhui Yan. Changhui Yan 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.
Geng, Lihua, Jing Wang, Yuxi Wei, et al.. (2024). Optimization of the Preparation Process of Glucuronomannan Oligosaccharides and Their Effects on the Gut Microbiota in MPTP-Induced PD Model Mice. Marine Drugs. 22(5). 193–193. 1 indexed citations
2.
Amin, Sareer Ul, et al.. (2024). Detection of Violent Scenes in Cartoon Movies Using a Deep Learning Approach. IEEE Access. 12. 154080–154091. 1 indexed citations
3.
4.
Kariyawasam, Gayan K., Nathan A. Wyatt, Gongjun Shi, et al.. (2021). A genome-wide genetic linkage map and reference quality genome sequence for a new race in the wheat pathogen Pyrenophora tritici-repentis. Fungal Genetics and Biology. 152. 103571–103571. 6 indexed citations
5.
Zhang, Mingyi, Wei Zhang, Xianwen Zhu, et al.. (2020). Dissection and physical mapping of wheat chromosome 7B by inducing meiotic recombination with its homoeologues in Aegilops speltoides and Thinopyrum elongatum. Theoretical and Applied Genetics. 133(12). 3455–3467. 5 indexed citations
6.
Yan, Changhui, et al.. (2018). Genome sequence and analysis of Mycobacterium tuberculosis strain SWLPK. Journal of Global Antimicrobial Resistance. 13. 211–213. 4 indexed citations
7.
Lengronne, Armelle, Romain Forey, Magdalena Skrzypczak, et al.. (2017). Dbf4 recruitment by forkhead transcription factors defines an upstream rate-limiting step in determining origin firing timing. Genes & Development. 31(23-24). 2405–2415. 43 indexed citations
8.
Xu, Yi, Xiaoyu Yang, Pinjing Zhao, et al.. (2016). Knockdown of delta-5-desaturase promotes the anti-cancer activity of dihomo-γ-linolenic acid and enhances the efficacy of chemotherapy in colon cancer cells expressing COX-2. Free Radical Biology and Medicine. 96. 67–77. 27 indexed citations
9.
Singh, Palwinder, Sathish K.R. Padi, Manas K. Haldar, et al.. (2015). Mechanism of N-Acylthiourea-mediated Activation of Human Histone Deacetylase 8 (HDAC8) at Molecular and Cellular Levels. Journal of Biological Chemistry. 290(10). 6607–6619. 17 indexed citations
10.
LeBoldus, Jared M., Kasia Kinzer, Jonathan K. Richards, et al.. (2014). Genotype‐by‐sequencing of the plant‐pathogenic fungi P yrenophora teres and S phaerulina musiva utilizing I on T orrent sequence technology. Molecular Plant Pathology. 16(6). 623–632. 32 indexed citations
11.
Yan, Changhui, et al.. (2012). Repeated exposures to chlorpyrifos lead to spatial memory retrieval impairment and motor activity alteration. Neurotoxicology and Teratology. 34(4). 442–449. 26 indexed citations
12.
Yan, Changhui, et al.. (2012). A new protein graph model for function prediction. Computational Biology and Chemistry. 37. 6–10. 9 indexed citations
13.
Zhang, Lishi, Yimei Wang, Changhui Yan, et al.. (2011). Study of embryotoxicity of Fusarium mycotoxin butenolide using a whole rat embryo culture model. Toxicology in Vitro. 25(8). 1727–1732. 6 indexed citations
14.
Hu, Jing & Changhui Yan. (2008). Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information. BMC Bioinformatics. 9(1). 297–297. 16 indexed citations
15.
Liu, Jingbo, Yimei Wang, Shuangqing Peng, et al.. (2007). Toxic effects of Fusarium mycotoxin butenolide on rat myocardium and primary culture of cardiac myocytes. Toxicon. 50(3). 357–364. 17 indexed citations
16.
Terribilini, Michael, Jae‐Hyung Lee, Changhui Yan, et al.. (2006). Prediction of RNA binding sites in proteins from amino acid sequence. RNA. 12(8). 1450–1462. 134 indexed citations
17.
Wang, Yimei, Shuangqing Peng, Qi Zhou, et al.. (2006). Depletion of intracellular glutathione mediates butenolide-induced cytotoxicity in HepG2 cells. Toxicology Letters. 164(3). 231–238. 46 indexed citations
18.
Yan, Changhui, Michael Terribilini, Feihong Wu, et al.. (2006). Predicting DNA-binding sites of proteins from amino acid sequence. BMC Bioinformatics. 7(1). 262–262. 121 indexed citations
19.
Yan, Changhui, Vasant Honavar, & Drena Dobbs. (2002). Predicting Protein-Protein Interaction Sites From Amino Acid Sequence. Iowa State University Digital Repository (Iowa State University). 5 indexed citations
20.
Tian, Ruihua, Guiyou Zhang, Changhui Yan, & Yao‐Ren Dai. (2000). Involvement of poly(ADP‐ribose) polymerase and activation of caspase‐3‐like protease in heat shock‐induced apoptosis in tobacco suspension cells. FEBS Letters. 474(1). 11–15. 85 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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