Jia‐Ming Chang

5.1k total citations · 1 hit paper
78 papers, 3.1k citations indexed

About

Jia‐Ming Chang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jia‐Ming Chang has authored 78 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 9 papers in Surgery. Recurrent topics in Jia‐Ming Chang's work include Genomics and Phylogenetic Studies (18 papers), Machine Learning in Bioinformatics (12 papers) and RNA and protein synthesis mechanisms (12 papers). Jia‐Ming Chang is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), Machine Learning in Bioinformatics (12 papers) and RNA and protein synthesis mechanisms (12 papers). Jia‐Ming Chang collaborates with scholars based in Taiwan, Spain and France. Jia‐Ming Chang's co-authors include Cédric Notredame, Paolo Di Tommaso, Jean-François Taly, Sébastien Moretti, Ioannis Xénarios, Giacomo Cavalli, Rong‐Jong Wai, Giorgio L. Papadopoulos, Cedrik Magis and Yuki Ogiyama and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jia‐Ming Chang

73 papers receiving 3.1k citations

Hit Papers

T-Coffee: a web server for the multiple sequence alignmen... 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia‐Ming Chang Taiwan 28 2.0k 556 303 185 182 78 3.1k
Chen Meng China 34 2.4k 1.2× 740 1.3× 244 0.8× 174 0.9× 142 0.8× 134 4.0k
Jing Yang China 33 2.7k 1.4× 641 1.2× 366 1.2× 166 0.9× 193 1.1× 165 4.0k
Vahid Jalili Iran 15 1.9k 1.0× 436 0.8× 316 1.0× 415 2.2× 211 1.2× 31 3.9k
Seiya Imoto Japan 13 1.7k 0.9× 436 0.8× 259 0.9× 128 0.7× 121 0.7× 21 2.8k
Gerhard Mayer Germany 12 2.4k 1.2× 290 0.5× 268 0.9× 204 1.1× 209 1.1× 15 3.5k
Wynand Alkema Netherlands 26 1.9k 1.0× 236 0.4× 300 1.0× 181 1.0× 141 0.8× 59 3.0k
Noemí del‐Toro United Kingdom 13 2.5k 1.3× 309 0.6× 309 1.0× 205 1.1× 234 1.3× 17 3.7k
Nicolas Hulo Switzerland 20 2.7k 1.4× 567 1.0× 327 1.1× 218 1.2× 178 1.0× 31 3.8k
Claire O’Donovan United Kingdom 25 3.0k 1.5× 321 0.6× 376 1.2× 230 1.2× 168 0.9× 48 4.1k

Countries citing papers authored by Jia‐Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jia‐Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia‐Ming Chang. 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 Jia‐Ming Chang. The network helps show where Jia‐Ming Chang may publish in the future.

Co-authorship network of co-authors of Jia‐Ming Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jia‐Ming Chang. A scholar is included among the top collaborators of Jia‐Ming Chang 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 Jia‐Ming Chang. Jia‐Ming Chang 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.
Chen, Shih‐Yao, Chung-Teng Wang, Yi‐Ting Yen, et al.. (2024). Advancing Lung Cancer Treatment with Combined c-Met Promoter-Driven Oncolytic Adenovirus and Rapamycin. Cells. 13(18). 1597–1597. 1 indexed citations
3.
Chen, Xueyi, Wanyu Chen, Jia‐Ming Chang, et al.. (2023). A zinc-based metal–organic framework with a triazine moiety: effective detection of antibiotics and photodegradation dyes in aqueous solution. CrystEngComm. 25(13). 1965–1975. 7 indexed citations
4.
Kahn, Tatyana G., Mikhail Savitsky, Caroline Jacquier, et al.. (2023). Topological screen identifies hundreds of Cp190- and CTCF-dependent Drosophila chromatin insulator elements. Science Advances. 9(5). eade0090–eade0090. 20 indexed citations
5.
Zhang, Xinxin, et al.. (2023). The potential molecularly therapy target to MYCN‐amplificated neuroblastoma. SHILAP Revista de lepidopterología. 3(4).
6.
Chang, Jia‐Ming, et al.. (2022). Pattern recognition of topologically associating domains using deep learning. BMC Bioinformatics. 22(S10). 634–634. 2 indexed citations
7.
Chang, Jia‐Ming, Evan Floden, Javier Herrero, et al.. (2019). Incorporating alignment uncertainty into Felsenstein’s phylogenetic bootstrap to improve its reliability. Bioinformatics. 37(11). 1506–1514. 8 indexed citations
8.
Ogiyama, Yuki, Bernd Schuettengruber, Giorgio L. Papadopoulos, Jia‐Ming Chang, & Giacomo Cavalli. (2018). Polycomb-Dependent Chromatin Looping Contributes to Gene Silencing during Drosophila Development. Molecular Cell. 71(1). 73–88.e5. 168 indexed citations
9.
Cattoni, Diego I., Andrés M. Cardozo Gizzi, Marco Di Stefano, et al.. (2017). Single-cell absolute contact probability detection reveals chromosomes are organized by multiple low-frequency yet specific interactions. Nature Communications. 8(1). 1753–1753. 115 indexed citations
10.
Floden, Evan, Paolo Di Tommaso, Maria Chatzou, et al.. (2016). PSI/TM-Coffee: a web server for fast and accurate multiple sequence alignments of regular and transmembrane proteins using homology extension on reduced databases. Nucleic Acids Research. 44(W1). W339–W343. 41 indexed citations
11.
Tseng, Yau‐Lin, Jia‐Ming Chang, Yi‐Sheng Liu, et al.. (2016). The Role of Video-Assisted Thoracoscopic Therapeutic Resection for Medically Failed Pulmonary Tuberculosis. Medicine. 95(18). e3511–e3511. 9 indexed citations
12.
Chen, Chien‐Chin & Jia‐Ming Chang. (2016). Primary pulmonary myxoma. QJM. 109(8). 549–550. 1 indexed citations
13.
Chang, Jia‐Ming, et al.. (2015). The Effect of Touch-key Size and Shape on the Usability of Flight Deck MCDU. Advances in Computer-Human Interaction. 234–238. 1 indexed citations
14.
Chang, Jia‐Ming, Paolo Di Tommaso, Vincent Lefort, Olivier Gascuel, & Cédric Notredame. (2015). TCS: a web server for multiple sequence alignment evaluation and phylogenetic reconstruction: Figure 1.. Nucleic Acids Research. 43(W1). W3–W6. 47 indexed citations
15.
Chang, Chia‐Chi, Jia‐Ming Chang, Jiann‐Jyh Huang, et al.. (2014). Activity of a Novel Hec1-Targeted Anticancer Compound against Breast Cancer Cell Lines In Vitro and In Vivo. Molecular Cancer Therapeutics. 13(6). 1419–1430. 15 indexed citations
16.
Chang, Jia‐Ming, et al.. (2014). Deregulation of SLIT2-Mediated Cdc42 Activity Is Associated with Esophageal Cancer Metastasis and Poor Prognosis. Journal of Thoracic Oncology. 10(1). 189–198. 33 indexed citations
17.
Chang, Jia‐Ming, Ionas Erb, Ting-Yi Sung, et al.. (2013). Efficient and Interpretable Prediction of Protein Functional Classes by Correspondence Analysis and Compact Set Relations. PLoS ONE. 8(10). e75542–e75542. 6 indexed citations
18.
Chang, Jia‐Ming, et al.. (2012). An Unusual Cause of Hemoptysis in a Young Woman. The Annals of Thoracic Surgery. 93(5). 1734–1734. 2 indexed citations
19.
Yen, Yi‐Ting, et al.. (2010). Thymic Neuroendocrine Carcinoma and Thymoma Are Both Associated With Increased Risk of Extrathymic Malignancy: A 20-Year Review of a Single Institution. The Annals of Thoracic Surgery. 91(1). 219–225. 14 indexed citations
20.
Lin, Hsin-Nan, et al.. (2005). HYPROSP II-A knowledge-based hybrid method for protein secondary structure prediction based on local prediction confidence. Bioinformatics. 21(15). 3227–3233. 38 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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