Nathan Mih

2.9k citations

20 papers · 1.2k indexed · h-index 15

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 ⓘ

Molecular Biology 20
- Microbial Metabolic Engineering and Bioproduction 11
- Protein Structure and Dynamics 9
- RNA and protein synthesis mechanisms 6
- Bioinformatics and Genomic Networks 4
- Gene Regulatory Network Analysis 4
- Photosynthetic Processes and Mechanisms 2
Genetics 7
- Bacterial Genetics and Biotechnology 6

Co-authors: Bernhard Ø. Palsson (18 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)Molecular Systems Biology (2 papers)BMC Systems Biology (2 papers)Nature Communications (2 papers)
Partner nations: United States Denmark South Korea

In The Last Decade

Nathan Mih

20 papers receiving 1.2k citations

Peers

Countries citing papers authored by Nathan Mih

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nathan Mih Line = papers co-authored together Nathan Mih links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	iML1515, a knowledgebase that computes Escherichia coli traits Nature Biotechnology ·Jonathan M. Monk, Colton J. Lloyd, Elizabeth Brunk, Nathan Mih, Anand V. Sastry, Zachary A. King, Rikiya Takeuchi, Wataru Nomura, Zhen Zhang, Hirotada Mori, Adam M. Feist, Bernhard Ø. Palsson	2017	365
2	Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models Nature Communications ·David Heckmann, Colton J. Lloyd, Nathan Mih, Yuanchi Ha, Daniel C. Zielinski, Zachary B. Haiman, Abdelmoneim Amer Desouki, Martin J. Lercher, Bernhard Ø. Palsson	2018	155
3	Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance Nature Communications ·Erol Kavvas, Edward Catoiu, Nathan Mih, James T. Yurkovich, Yara Seif, Nicholas Dillon, David Heckmann, Amitesh Anand, Laurence Yang, Victor Nizet, Jonathan M. Monk, Bernhard Ø. Palsson	2018	129
4	Unique attributes of cyanobacterial metabolism revealed by improved genome-scale metabolic modeling and essential gene analysis Proceedings of the National Academy of Sciences ·Jared T. Broddrick, Benjamin E. Rubin, David Welkie, Niu Du, Nathan Mih, Spencer Diamond, Jenny J. Lee, Susan S. Golden, Bernhard Ø. Palsson	2016	95
5	Global transcriptional regulatory network for Escherichia coli robustly connects gene expression to transcription factor activities Proceedings of the National Academy of Sciences ·Xin Fang, Anand V. Sastry, Nathan Mih, Donghyuk Kim, Justin Tan, James T. Yurkovich, Colton J. Lloyd, Ye Gao, Laurence Yang, Bernhard Ø. Palsson	2017	74
6	Systematic discovery of uncharacterized transcription factors in Escherichia coli K-12 MG1655 Nucleic Acids Research ·Ye Gao, James T. Yurkovich, Sang Woo Seo, Ilyas Kabimoldayev, Andreas Dräger, Ke Chen, Anand V. Sastry, Xin Fang, Nathan Mih, Laurence Yang, Johannes Eichner, Byung‐Kwan Cho, Donghyuk Kim, Bernhard Ø. Palsson	2018	68
7	Thermosensitivity of growth is determined by chaperone-mediated proteome reallocation Proceedings of the National Academy of Sciences ·Ke Chen, Ye Gao, Nathan Mih, Edward J. O’Brien, Laurence Yang, Bernhard Ø. Palsson	2017	64
8	Systems biology of the structural proteome BMC Systems Biology ·Elizabeth Brunk, Nathan Mih, Jonathan M. Monk, Zhen Zhang, Edward J. O’Brien, Spencer Bliven, Ke Chen, Roger L. Chang, Philip E. Bourne, Bernhard Ø. Palsson	2016	42
9	A computational knowledge-base elucidates the response of Staphylococcus aureus to different media types PLoS Computational Biology ·Yara Seif, Jonathan M. Monk, Nathan Mih, Hannah Tsunemoto, Saugat Poudel, Cristal Zúñiga, Jared T. Broddrick, Karsten Zengler, Bernhard Ø. Palsson	2019	35
10	Escherichia coli B2 strains prevalent in inflammatory bowel disease patients have distinct metabolic capabilities that enable colonization of intestinal mucosa BMC Systems Biology ·Xin Fang, Jonathan M. Monk, Nathan Mih, Bin Du, Anand V. Sastry, Erol Kavvas, Yara Seif, Larry Smarr, Bernhard Ø. Palsson	2018	35
11	ssbio: a Python framework for structural systems biology Bioinformatics ·Nathan Mih, Elizabeth Brunk, Ke Chen, Edward Catoiu, Anand V. Sastry, Erol Kavvas, Jonathan M. Monk, Zhen Zhang, Bernhard Ø. Palsson	2018	26
12	The Staphylococcus aureus Two-Component System AgrAC Displays Four Distinct Genomic Arrangements That Delineate Genomic Virulence Factor Signatures Frontiers in Microbiology ·Kumari Sonal Choudhary, Nathan Mih, Jonathan M. Monk, Erol Kavvas, James T. Yurkovich, George Sakoulas, Bernhard Ø. Palsson	2018	24
13	Probing the Selectivity and Protein⋅Protein Interactions of a Nonreducing Fungal Polyketide Synthase Using Mechanism-Based Crosslinkers Chemistry & Biology ·Joel Bruegger, Bob Haushalter, Anna L. Vagstad, Gaurav Shakya, Nathan Mih, Craig A. Townsend, Michael D. Burkart, Shiou‐Chuan Tsai	2013	23
14	Mechanisms for Benzene Dissociation through the Excited State of T4 Lysozyme L99A Mutant Biophysical Journal ·Victoria A. Feher, Jamie M. Schiffer, Daniel J. Mermelstein, Nathan Mih, Levi Pierce, J. Andrew McCammon, Rommie E. Amaro	2018	18
15	Genome‐scale metabolic modeling reveals key features of a minimal gene set Molecular Systems Biology ·Jean‐Christophe Lachance, Dominick Matteau, Joëlle Brodeur, Colton J. Lloyd, Nathan Mih, Zachary A. King, Thomas F. Knight, Adam M. Feist, Jonathan M. Monk, Bernhard Ø. Palsson, Pierre‐Étienne Jacques, Sébastien Rodrigue	2021	14
16	A Multi-scale Computational Platform to Mechanistically Assess the Effect of Genetic Variation on Drug Responses in Human Erythrocyte Metabolism PLoS Computational Biology ·Nathan Mih, Elizabeth Brunk, Aarash Bordbar, Bernhard Ø. Palsson	2016	11
17	Bacterial fitness landscapes stratify based on proteome allocation associated with discrete aero-types PLoS Computational Biology ·Ke Chen, Amitesh Anand, Connor A. Olson, Troy E. Sandberg, Ye Gao, Nathan Mih, Bernhard Ø. Palsson	2021	9
18	Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes BMC Bioinformatics ·Nathan Mih, Jonathan M. Monk, Xin Fang, Edward Catoiu, David Heckmann, Laurence Yang, Bernhard Ø. Palsson	2020	8
19	Expanding the uses of genome‐scale models with protein structures Molecular Systems Biology ·Nathan Mih, Bernhard Ø. Palsson	2019	6
20	Structure of galactarate dehydratase, a new fold in an enolase involved in bacterial fitness after antibiotic treatment Protein Science ·Mónica Rosas‐Lemus, G. Minasov, L. Shuvalova, Z. Wawrzak, O. Kiryukhina, Nathan Mih, Lukasz Jaroszewski, Bernhard Ø. Palsson, Adam Godzik, K.J.F. Satchell	2019	4

About Nathan Mih

Nathan Mih is a scholar working on Molecular Biology, Genetics, Endocrinology, Biophysics and Infectious Diseases, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (11 papers), Protein Structure and Dynamics (9 papers), RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (6 papers), Bioinformatics and Genomic Networks (4 papers), Gene Regulatory Network Analysis (4 papers), Enzyme Structure and Function (3 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Molecular Medicine (44 citations), Biomedical Engineering (304 citations), Genetics (178 citations) and Endocrinology (28 citations). Nathan Mih has collaborated with scholars based in United States, Denmark and South Korea. 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, Rikiya Takeuchi and Hirotada Mori. Their work appears in journals such as PLoS Computational Biology, Proceedings of the National Academy of Sciences, Molecular Systems Biology, BMC Systems Biology and Nature Communications.

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.

Explore authors with similar magnitude of impact