Ching‐Han Chen

515 total citations
9 papers, 384 citations indexed

About

Ching‐Han Chen is a scholar working on Plant Science, Molecular Biology and Surgery. According to data from OpenAlex, Ching‐Han Chen has authored 9 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in Ching‐Han Chen's work include Plant Virus Research Studies (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and Genomics and Phylogenetic Studies (2 papers). Ching‐Han Chen is often cited by papers focused on Plant Virus Research Studies (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and Genomics and Phylogenetic Studies (2 papers). Ching‐Han Chen collaborates with scholars based in United States, Taiwan and United Kingdom. Ching‐Han Chen's co-authors include Frederick G. Gmitter, Jing Fan, R. H. Brlansky, Zhengguo Li, Shu Huang, Peng Ling, Zhanao Deng, Changchun Yu, Gloria A. Moore and Courtney Weber and has published in prestigious journals such as Nucleic Acids Research, The FASEB Journal and Theoretical and Applied Genetics.

In The Last Decade

Ching‐Han Chen

9 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐Han Chen United States 6 318 119 73 71 49 9 384
Pranjib K. Chakrabarty United States 7 366 1.2× 167 1.4× 18 0.2× 32 0.5× 29 0.6× 10 413
Dóra Szinay Netherlands 10 460 1.4× 158 1.3× 52 0.7× 19 0.3× 58 1.2× 10 480
Marta Francis United States 9 419 1.3× 68 0.6× 31 0.4× 143 2.0× 81 1.7× 12 443
Hee‐Bum Yang South Korea 12 384 1.2× 105 0.9× 105 1.4× 15 0.2× 33 0.7× 21 420
Zeyun Hao China 8 322 1.0× 196 1.6× 23 0.3× 12 0.2× 20 0.4× 9 378
SI Long-ting China 9 325 1.0× 152 1.3× 178 2.4× 126 1.8× 13 0.3× 22 382
Huan Si China 9 309 1.0× 230 1.9× 39 0.5× 7 0.1× 33 0.7× 18 391
W. van Dooijeweert Netherlands 8 596 1.9× 113 0.9× 96 1.3× 43 0.6× 6 0.1× 28 632
Daoming Liu China 5 276 0.9× 154 1.3× 17 0.2× 8 0.1× 95 1.9× 7 328
Jean-Pierre Jacquemoud-Collet France 7 252 0.8× 86 0.7× 104 1.4× 34 0.5× 6 0.1× 10 300

Countries citing papers authored by Ching‐Han Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Han Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Han Chen. 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 Ching‐Han Chen. The network helps show where Ching‐Han Chen may publish in the future.

Co-authorship network of co-authors of Ching‐Han Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Han Chen. A scholar is included among the top collaborators of Ching‐Han Chen 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 Ching‐Han Chen. Ching‐Han Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Lin, Ming‐Yi, et al.. (2024). Intelligent classifier for various degrees of coffee roasts using smart multispectral vision system. Journal of Field Robotics. 41(3). 639–653. 2 indexed citations
2.
Hu, Yu‐Feng, Chung‐Kan Tsao, Chi‐Kuang Young, et al.. (2023). Serial assessment and long‐term radiographic evaluation of the maxillary sinus after inferior maxillectomy and soft tissue free flap reconstruction in patients with oral cancer. Head & Neck. 46(2). 300–305. 1 indexed citations
3.
Chien, Huei‐Tzu, Yun‐Shien Lee, Chun‐Ta Liao, et al.. (2023). Single‐nucleotide polymorphism at alcohol dehydrogenase 1B: A susceptible gene marker in oro‐/hypopharyngeal cancers from genome‐wide association study. Cancer Medicine. 12(18). 19174–19187. 2 indexed citations
4.
Chen, Ching‐Han, et al.. (2017). Effects of a high‐fat diet on spontaneous locomotor activity and blood metabolic biomarkers in Sprague Dawley rats. The FASEB Journal. 31(S1). 5 indexed citations
5.
Wegrzyn, Jill, Dorrie Main, Min‐Young Choi, et al.. (2012). Uniform standards for genome databases in forest and fruit trees. Tree Genetics & Genomes. 8(3). 549–557. 15 indexed citations
6.
Youens‐Clark, Ken, Edward S. Buckler, Terry Casstevens, et al.. (2010). Gramene database in 2010: updates and extensions. Nucleic Acids Research. 39(Database). D1085–D1094. 128 indexed citations
7.
Fan, Jing, Ching‐Han Chen, R. H. Brlansky, Frederick G. Gmitter, & Zhengguo Li. (2010). Changes in carbohydrate metabolism in Citrus sinensis infected with ‘ Candidatus Liberibacter asiaticus’. Plant Pathology. 59(6). 1037–1043. 111 indexed citations
8.
Deng, Zhanao, Shu Huang, Peng Ling, et al.. (2001). Fine genetic mapping and BAC contig development for the citrus tristeza virus resistance gene locus in Poncirus trifoliata (Raf.). Molecular Genetics and Genomics. 265(4). 739–747. 31 indexed citations
9.
Deng, Zhanao, Shu Huang, Peng Ling, et al.. (2000). Cloning and characterization of NBS-LRR class resistance-gene candidate sequences in citrus. Theoretical and Applied Genetics. 101(5-6). 814–822. 89 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026