Jia‐Ming Chang
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Endocrinology top 10%
Papers in
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- Genomics and Phylogenetic Studies 15
- Genomics and Chromatin Dynamics 6
- Machine Learning in Bioinformatics 6
- Protein Structure and Dynamics 5
- Bioinformatics and Genomic Networks 2
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- Advanced NMR Techniques and Applications 3
- Co-authors
- Cédric Notredame (13 shared papers)Paolo Di Tommaso (9 shared papers)Jean-François Taly (5 shared papers)Miquel Orobitg (1 shared paper)Ioannis Xénarios (1 shared paper)Sébastien Moretti (1 shared paper)Giacomo Cavalli (5 shared papers)Giorgio Lucio Papadopoulos (2 shared papers)
In The Last Decade
Jia‐Ming Chang
33 papers receiving 2.7k citations
Jia‐Ming Chang's Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.8k
- Endocrinology 36
- Genetics 194
- Biotechnology 46
- Plant Science 220
Countries citing papers authored by Jia‐Ming Chang
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
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-authors
The 25 scholars most cited alongside Jia‐Ming Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | T-Coffee: a web server for the multiple sequence alignment of protein and RNA sequences using structural information and homology extension Hit paper breakdown → | 2011 | 934 |
| 2 | 2019 | 315 | |
| 3 | 2018 | 196 | |
| 4 | 2018 | 177 | |
| 5 | 2014 | 162 | |
| 6 | 2015 | 148 | |
| 7 | 2012 | 129 | |
| 8 | 2017 | 116 | |
| 9 | 2011 | 83 | |
| 10 | 2013 | 54 | |
| 11 | 2015 | 52 | |
| 12 | 2016 | 47 | |
| 13 | 2003 | 46 | |
| 14 | 2008 | 40 | |
| 15 | 2005 | 39 | |
| 16 | 2015 | 39 | |
| 17 | 2019 | 24 | |
| 18 | 2023 | 24 | |
| 19 | 2021 | 18 | |
| 20 | 2006 | 17 |
About Jia‐Ming Chang
Jia‐Ming Chang is a scholar working on Molecular Biology, Spectroscopy, Artificial Intelligence, Cellular and Molecular Neuroscience and Nuclear Energy and Engineering, having authored 33 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Genomics and Chromatin Dynamics (6 papers), Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (5 papers), Algorithms and Data Compression (3 papers), Advanced NMR Techniques and Applications (3 papers), Bioinformatics and Genomic Networks (2 papers) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Molecular Biology (1.8k citations), Endocrinology (36 citations), Genetics (194 citations), Biotechnology (46 citations) and Plant Science (220 citations). Jia‐Ming Chang has collaborated with scholars based in Taiwan, Spain and France. Frequent co-authors include Cédric Notredame, Paolo Di Tommaso, Jean-François Taly, Miquel Orobitg, Ioannis Xénarios, Sébastien Moretti, Giacomo Cavalli, Giorgio Lucio Papadopoulos, Cedrik Magis and Ionas Erb. Their work appears in journals such as BMC Bioinformatics, Nucleic Acids Research, Science Advances, PLoS ONE and Bioinformatics.
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.