I-Min A. Chen
Impact in
- Ecology top 0.5%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- Gut microbiota and health
- Microbial Metabolic Engineering and Bioproduction
Papers in
- Ecology 26
- Microbial Community Ecology and Physiology 18
- Bacteriophages and microbial interactions 10
- Environmental DNA in Biodiversity Studies 3
- Co-authors
- Nikos C. KyrpidesNatalia IvanovaKen ChuVictor MarkowitzKrishna PalaniappanKonstantinos MavromatisAnna RatnerMarcel Huntemann
- Journals
- Nucleic Acids Research (18 papers)PLoS ONE (2 papers)Trends in Microbiology (1 paper)BMC Genomics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesGreeceSpain
In The Last Decade
I-Min A. Chen
35 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Ecology 2.2k
- Molecular Biology 3.1k
- Endocrinology 184
- Environmental Chemistry 332
- Biotechnology 249
Countries citing papers authored by I-Min A. Chen
This map shows the geographic impact of I-Min A. 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 I-Min A. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I-Min A. Chen more than expected).
Fields of papers citing papers by I-Min A. Chen
This network shows the impact of papers produced by I-Min A. 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 I-Min A. Chen. The network helps show where I-Min A. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside I-Min A. Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 51 | |
| 7 | 2020 | 46 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 78 | |
| 10 | 2016 | 93 | |
| 11 | 2016 | 39 | |
| 12 | 2016 | 56 | |
| 13 | IMG/M: integrated genome and metagenome comparative data analysis system Hit paper breakdown → | 2016 | 331 |
| 14 | 2015 | 265 | |
| 15 | 2015 | 15 | |
| 16 | 2013 | 36 | |
| 17 | IMG 4 version of the integrated microbial genomes comparative analysis system Hit paper breakdown → | 2013 | 431 |
| 18 | 2013 | 47 | |
| 19 | 2012 | 32 | |
| 20 | 2009 | 206 |
About I-Min A. Chen
I-Min A. Chen is a scholar working on Ecology, Endocrinology, Molecular Biology, Molecular Medicine and Plant Science, having authored 36 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (27 papers), Microbial Community Ecology and Physiology (18 papers), Bacteriophages and microbial interactions (10 papers), Protist diversity and phylogeny (3 papers), Environmental DNA in Biodiversity Studies (3 papers), Plant Virus Research Studies (3 papers), Gut microbiota and health (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Ecology (2.2k citations), Molecular Biology (3.1k citations), Endocrinology (184 citations), Environmental Chemistry (332 citations) and Biotechnology (249 citations). I-Min A. Chen has collaborated with scholars based in United States, Greece and Spain. Frequent co-authors include Nikos C. Kyrpides, Natalia Ivanova, Ken Chu, Victor Markowitz, Krishna Palaniappan, Konstantinos Mavromatis, Anna Ratner, Marcel Huntemann, Manoj Pillay and Jinghua Huang. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Trends in Microbiology, BMC Genomics 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.