Nathan Mih
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Enzyme Catalysis and Immobilization
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- Molecular Medicine top 10%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 9
- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 6
- Gene Regulatory Network Analysis 4
- Bioinformatics and Genomic Networks 2
- Genetics 6
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Bernhard Ø. Palsson (17 shared papers)Jonathan M. Monk (9 shared papers)Colton J. Lloyd (4 shared papers)Anand V. Sastry (5 shared papers)Elizabeth Brunk (4 shared papers)Laurence Yang (5 shared papers)Zachary A. King (2 shared papers)Adam M. Feist (2 shared papers)
- Journals
- PLoS Computational Biology (3 papers)Proceedings of the National Academy of Sciences (3 papers)BMC Systems Biology (2 papers)Nature Communications (2 papers)Molecular Systems Biology (2 papers)
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
Nathan Mih
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.1k
- Molecular Medicine 40
- Biomedical Engineering 287
- Genetics 175
- Endocrinology 28
Countries citing papers authored by Nathan Mih
This map shows the geographic impact of Nathan Mih'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 Nathan Mih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Mih more than expected).
Fields of papers citing papers by Nathan Mih
This network shows the impact of papers produced by Nathan Mih. 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 Nathan Mih. The network helps show where Nathan Mih may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Mih, 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 | 2017 | 376 | |
| 2 | 2018 | 160 | |
| 3 | 2018 | 131 | |
| 4 | 2016 | 100 | |
| 5 | 2017 | 74 | |
| 6 | 2018 | 70 | |
| 7 | 2017 | 64 | |
| 8 | 2016 | 42 | |
| 9 | 2019 | 38 | |
| 10 | 2018 | 36 | |
| 11 | 2018 | 27 | |
| 12 | 2018 | 25 | |
| 13 | 2013 | 23 | |
| 14 | 2018 | 19 | |
| 15 | 2021 | 14 | |
| 16 | 2016 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 8 | |
| 19 | 2019 | 6 | |
| 20 | 2019 | 4 |
About Nathan Mih
Nathan Mih is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Materials Chemistry and Surgery, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (9 papers), Protein Structure and Dynamics (7 papers), RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (5 papers), Gene Regulatory Network Analysis (4 papers), Enzyme Structure and Function (2 papers), Bioinformatics and Genomic Networks (2 papers) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Molecular Medicine (40 citations), Biomedical Engineering (287 citations), Genetics (175 citations) and Endocrinology (28 citations). Nathan Mih has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Bernhard Ø. Palsson, Jonathan M. Monk, Colton J. Lloyd, Anand V. Sastry, Elizabeth Brunk, Laurence Yang, Zachary A. King, Adam M. Feist, Zhen Zhang and Rikiya Takeuchi. Their work appears in journals such as PLoS Computational Biology, Proceedings of the National Academy of Sciences, BMC Systems Biology, Nature Communications and Molecular Systems Biology.
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.