Chin-Wen Ho

7.1k total citations · 1 hit paper
7 papers, 4.5k citations indexed

About

Chin-Wen Ho is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Chin-Wen Ho has authored 7 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in Chin-Wen Ho's work include Bioinformatics and Genomic Networks (4 papers), Protein Structure and Dynamics (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Chin-Wen Ho is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Protein Structure and Dynamics (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Chin-Wen Ho collaborates with scholars based in Taiwan and Japan. Chin-Wen Ho's co-authors include Chung‐Yen Lin, Shu-Hwa Chen, Ming‐Tat Ko, Sun‐Yuan Hsieh, Wen-Fei Chiou, Mei‐Hsien Lee and Chao A. Hsiung and has published in prestigious journals such as Nucleic Acids Research, Gene and Journal of Ethnopharmacology.

In The Last Decade

Chin-Wen Ho

7 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

cytoHubba: identifying hub objects and sub-networks from complex interactome

2014 4.1k citations Shu-Hwa Chen, Chin-Wen Ho et al. BMC Systems Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chin-Wen Ho Taiwan	5	2.6k	989	899	563	423	7	4.5k
Shu-Hwa Chen Taiwan	16	2.8k 1.1×	1.0k 1.0×	985 1.1×	646 1.1×	496 1.2×	22	5.0k
Marc Legeay France	3	3.3k 1.3×	876 0.9×	799 0.9×	592 1.1×	453 1.1×	6	5.3k
Max Franz Canada	9	3.6k 1.4×	917 0.9×	858 1.0×	596 1.1×	569 1.3×	13	5.6k
Christian Lopes Canada	6	3.5k 1.4×	917 0.9×	854 0.9×	595 1.1×	569 1.3×	8	5.5k
Jason Montojo Canada	6	3.1k 1.2×	897 0.9×	855 1.0×	602 1.1×	572 1.4×	7	5.0k
Sylva L. Donaldson Canada	13	3.2k 1.2×	738 0.7×	968 1.1×	491 0.9×	465 1.1×	15	5.0k
Anton Buzdin Russia	40	3.3k 1.3×	953 1.0×	640 0.7×	789 1.4×	776 1.8×	195	5.3k
Khalid Zuberi Canada	8	3.6k 1.4×	1.0k 1.0×	869 1.0×	620 1.1×	578 1.4×	8	5.4k
Naomi Rosen Israel	8	3.5k 1.3×	870 0.9×	495 0.6×	564 1.0×	393 0.9×	13	5.9k
Gil Stelzer Israel	15	2.6k 1.0×	620 0.6×	379 0.4×	473 0.8×	318 0.8×	23	4.5k

Countries citing papers authored by Chin-Wen Ho

Since Specialization

Citations

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

Fields of papers citing papers by Chin-Wen Ho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin-Wen Ho. 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 Chin-Wen Ho. The network helps show where Chin-Wen Ho may publish in the future.

Co-authorship network of co-authors of Chin-Wen Ho

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Ho, Chin-Wen, et al.. (2020). In vivo and in vitro evaluation of the osteogenic potential of Davallia mariesii T. Moore ex Baker. Journal of Ethnopharmacology. 264. 113126–113126. 6 indexed citations

2.

Chen, Shu-Hwa, et al.. (2014). cytoHubba: identifying hub objects and sub-networks from complex interactome. BMC Systems Biology. 8(S4). S11–S11. 4141 indexed citations breakdown →

3.

Chen, Shu-Hwa, et al.. (2012). Spotlight: Assembly of protein complexes by integrating graph clustering methods. Gene. 518(1). 42–51. 1 indexed citations

4.

Chen, Shu-Hwa, et al.. (2010). A hub-attachment based method to detect functional modules from confidence-scored protein interactions and expression profiles. BMC Bioinformatics. 11(S1). S25–S25. 37 indexed citations

5.

Lin, Chung‐Yen, et al.. (2008). Hubba: hub objects analyzer—a framework of interactome hubs identification for network biology. Nucleic Acids Research. 36(suppl_2). W438–W443. 222 indexed citations

6.

Hsieh, Sun‐Yuan, et al.. (2002). Hamiltonian-laceability of star graphs. 112–117. 1 indexed citations

7.

Hsieh, Sun‐Yuan, et al.. (2000). Hamiltonian-laceability of star graphs. Networks. 36(4). 225–232. 88 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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