Nathan Mih

2.9k total citations
20 papers, 1.2k citations indexed

About

Nathan Mih is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Nathan Mih has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Materials Chemistry. Recurrent topics in Nathan Mih's work include Microbial Metabolic Engineering and Bioproduction (11 papers), Protein Structure and Dynamics (9 papers) and Bacterial Genetics and Biotechnology (6 papers). Nathan Mih is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (11 papers), Protein Structure and Dynamics (9 papers) and Bacterial Genetics and Biotechnology (6 papers). Nathan Mih collaborates with scholars based in United States, Denmark and Germany. Nathan Mih's co-authors include Bernhard Ø. Palsson, Jonathan M. Monk, Colton J. Lloyd, Anand V. Sastry, Elizabeth Brunk, Laurence Yang, Adam M. Feist, Zachary A. King, Rikiya Takeuchi and Zhen Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Nathan Mih

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Mih United States 15 1.1k 304 178 88 84 20 1.2k
Matthew Oberhardt United States 17 1.5k 1.4× 479 1.6× 200 1.1× 48 0.5× 76 0.9× 33 1.8k
Anand V. Sastry United States 25 1.6k 1.5× 318 1.0× 521 2.9× 41 0.5× 117 1.4× 46 1.9k
David Heckmann Germany 13 776 0.7× 132 0.4× 79 0.4× 110 1.3× 52 0.6× 17 979
Tom M Conrad United States 9 2.2k 2.1× 692 2.3× 613 3.4× 78 0.9× 35 0.4× 11 2.5k
Stephen Federowicz United States 7 837 0.8× 218 0.7× 159 0.9× 37 0.4× 20 0.2× 8 960
Adrian J. Jervis United Kingdom 20 731 0.7× 119 0.4× 122 0.7× 66 0.8× 28 0.3× 28 939
Katja Bettenbrock Germany 23 1.8k 1.7× 428 1.4× 505 2.8× 49 0.6× 58 0.7× 51 2.2k
Rikiya Takeuchi Japan 9 645 0.6× 197 0.6× 190 1.1× 19 0.2× 55 0.7× 11 749
Colton J. Lloyd United States 17 1.4k 1.3× 578 1.9× 200 1.1× 55 0.6× 15 0.2× 22 1.5k
Yara Seif United States 17 697 0.7× 146 0.5× 171 1.0× 17 0.2× 172 2.0× 26 924

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-authorship network of co-authors of Nathan Mih

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Mih. A scholar is included among the top collaborators of Nathan Mih 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 Nathan Mih. Nathan Mih 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.
Anand, Amitesh, Connor A. Olson, Troy E. Sandberg, et al.. (2021). Bacterial fitness landscapes stratify based on proteome allocation associated with discrete aero-types. PLoS Computational Biology. 17(1). e1008596–e1008596. 9 indexed citations
2.
Lachance, Jean‐Christophe, Dominick Matteau, Colton J. Lloyd, et al.. (2021). Genome‐scale metabolic modeling reveals key features of a minimal gene set. Molecular Systems Biology. 17(7). e10099–e10099. 14 indexed citations
3.
Mih, Nathan, Jonathan M. Monk, Xin Fang, et al.. (2020). Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes. BMC Bioinformatics. 21(1). 162–162. 8 indexed citations
4.
Seif, Yara, Jonathan M. Monk, Nathan Mih, et al.. (2019). A computational knowledge-base elucidates the response of Staphylococcus aureus to different media types. PLoS Computational Biology. 15(1). e1006644–e1006644. 35 indexed citations
5.
Mih, Nathan & Bernhard Ø. Palsson. (2019). Expanding the uses of genome‐scale models with protein structures. Molecular Systems Biology. 15(11). e8601–e8601. 6 indexed citations
6.
Rosas‐Lemus, Mónica, G. Minasov, L. Shuvalova, et al.. (2019). Structure of galactarate dehydratase, a new fold in an enolase involved in bacterial fitness after antibiotic treatment. Protein Science. 29(3). 711–722. 4 indexed citations
7.
Mih, Nathan, Elizabeth Brunk, Ke Chen, et al.. (2018). ssbio: a Python framework for structural systems biology. Bioinformatics. 34(12). 2155–2157. 26 indexed citations
8.
Gao, Ye, James T. Yurkovich, Sang Woo Seo, et al.. (2018). Systematic discovery of uncharacterized transcription factors in Escherichia coli K-12 MG1655. Nucleic Acids Research. 46(20). 10682–10696. 68 indexed citations
9.
Fang, Xin, Jonathan M. Monk, Nathan Mih, et al.. (2018). Escherichia coli B2 strains prevalent in inflammatory bowel disease patients have distinct metabolic capabilities that enable colonization of intestinal mucosa. BMC Systems Biology. 12(1). 66–66. 35 indexed citations
10.
Kavvas, Erol, Edward Catoiu, Nathan Mih, et al.. (2018). Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance. Nature Communications. 9(1). 4306–4306. 129 indexed citations
11.
Choudhary, Kumari Sonal, Nathan Mih, Jonathan M. Monk, et al.. (2018). The Staphylococcus aureus Two-Component System AgrAC Displays Four Distinct Genomic Arrangements That Delineate Genomic Virulence Factor Signatures. Frontiers in Microbiology. 9. 1082–1082. 24 indexed citations
12.
Heckmann, David, Colton J. Lloyd, Nathan Mih, et al.. (2018). Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models. Nature Communications. 9(1). 5252–5252. 155 indexed citations
13.
Feher, Victoria A., Jamie M. Schiffer, Nathan Mih, et al.. (2018). Mechanisms for Benzene Dissociation through the Excited State of T4 Lysozyme L99A Mutant. Biophysical Journal. 116(2). 205–214. 18 indexed citations
14.
Fang, Xin, Anand V. Sastry, Nathan Mih, et al.. (2017). Global transcriptional regulatory network for Escherichia coli robustly connects gene expression to transcription factor activities. Proceedings of the National Academy of Sciences. 114(38). 10286–10291. 74 indexed citations
15.
Monk, Jonathan M., Colton J. Lloyd, Elizabeth Brunk, et al.. (2017). iML1515, a knowledgebase that computes Escherichia coli traits. Nature Biotechnology. 35(10). 904–908. 365 indexed citations
16.
Chen, Ke, Ye Gao, Nathan Mih, et al.. (2017). Thermosensitivity of growth is determined by chaperone-mediated proteome reallocation. Proceedings of the National Academy of Sciences. 114(43). 11548–11553. 64 indexed citations
17.
Brunk, Elizabeth, Nathan Mih, Jonathan M. Monk, et al.. (2016). Systems biology of the structural proteome. BMC Systems Biology. 10(1). 26–26. 42 indexed citations
18.
Mih, Nathan, Elizabeth Brunk, Aarash Bordbar, & Bernhard Ø. Palsson. (2016). A Multi-scale Computational Platform to Mechanistically Assess the Effect of Genetic Variation on Drug Responses in Human Erythrocyte Metabolism. PLoS Computational Biology. 12(7). e1005039–e1005039. 11 indexed citations
19.
Broddrick, Jared T., Benjamin E. Rubin, David Welkie, et al.. (2016). Unique attributes of cyanobacterial metabolism revealed by improved genome-scale metabolic modeling and essential gene analysis. Proceedings of the National Academy of Sciences. 113(51). 95 indexed citations
20.
Bruegger, Joel, Anna L. Vagstad, Nathan Mih, et al.. (2013). Probing the Selectivity and Protein⋅Protein Interactions of a Nonreducing Fungal Polyketide Synthase Using Mechanism-Based Crosslinkers. Chemistry & Biology. 20(9). 1135–1146. 23 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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