Nathan E. Lewis

24.3k citations
204 papers · 16.6k · 9 hit papers · h-index 57

Impact in

    • Microbial Metabolic Engineering and Bioproduction
    • Viral Infectious Diseases and Gene Expression in Insects
    • Gene Regulatory Network Analysis
    • Bioinformatics and Genomic Networks
    • CRISPR and Genetic Engineering
    • Metabolomics and Mass Spectrometry Studies
    • Enzyme Catalysis and Immobilization
  • Aging top 2%

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 58
    • Microbial Metabolic Engineering and Bioproduction 57
    • CRISPR and Genetic Engineering 30
    • Bioinformatics and Genomic Networks 27
    • Gene Regulatory Network Analysis 26
    • Glycosylation and Glycoproteins Research 22
    • Single-cell and spatial transcriptomics 12

Nathan E. Lewis

196 papers receiving 16.3k citations

Nathan E. Lewis's Hit Papers

The diversification of methods for studying cell–cell interactions and communication 2024 · 112 citations
1120+5+10Years since publication4008001.2k

Peers

Nathan E. Lewis
Comparison fields: 5 of 181
  • Molecular Biology 12.7k
  • Aging 172
  • Genetics 1.9k
  • Biomedical Engineering 2.5k
  • Biotechnology 455
Replace Jörg D. Hoheisel with:
Jörg D. Hoheisel Germany
Edward M. Marcotte United States
Martin Fussenegger Switzerland
Gianni Cesareni Italy
Jianbin Wang China
Ole Nørregaard Jensen Denmark
Kathryn Susan Lilley United Kingdom
Alan James Bridge Switzerland
Juan Antonio Vizcaíno United Kingdom
Silvio C. E. Tosatto Italy
Nathan E. Lewis relative to Jörg D. Hoheisel Germany Jörg D. Hoheisel's profile →
Citations per field
00.5×2×3×4.2×
Jörg D. Hoheisel · 1×
Citations per year

Countries citing papers authored by Nathan E. Lewis

Since Specialization
Citations

This map shows the geographic impact of Nathan E. Lewis'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 E. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan E. Lewis more than expected).

Fields of papers citing papers by Nathan E. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan E. Lewis. 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 E. Lewis. The network helps show where Nathan E. Lewis may publish in the future.

Co-authors

The 25 scholars most cited alongside Nathan E. Lewis, 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 E. Lewis Line = papers co-authored together Nathan E. Lewis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0
Hit paper breakdown →
20111422
2
Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0
Hit paper breakdown →
2019883
3
Deciphering cell–cell interactions and communication from gene expression
Hit paper breakdown →
2020866
4
BiGG Models: A platform for integrating, standardizing and sharing genome-scale models
Hit paper breakdown →
2015651
5
The genomic sequence of the Chinese hamster ovary (CHO)-K1 cell line
Hit paper breakdown →
2011651
6
Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods
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2012635
7
Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models
Hit paper breakdown →
2010577
8 2010425
9 2018364
10
MEMOTE for standardized genome-scale metabolic model testing
Hit paper breakdown →
2020344
11 2020334
12 2013319
13 2015279
14 2017263
15
Direct Air Capture of CO2 with Chemicals: A Technology Assessment for the APS Panel on Public Affairs
2011240
16 2012235
17 2013233
18 2011231
19 2016225
20 2017223

About Nathan E. Lewis

Nathan E. Lewis is a scholar working on Molecular Biology, Genetics, Biotechnology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 204 papers that have together received 16.6k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (58 papers), Microbial Metabolic Engineering and Bioproduction (57 papers), CRISPR and Genetic Engineering (30 papers), Bioinformatics and Genomic Networks (27 papers), Gene Regulatory Network Analysis (26 papers), Glycosylation and Glycoproteins Research (22 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Single-cell and spatial transcriptomics (12 papers). The work is most often cited by research in Molecular Biology (12.7k citations), Aging (172 citations), Genetics (1.9k citations), Biomedical Engineering (2.5k citations) and Biotechnology (455 citations). Nathan E. Lewis has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Bernhard Ørn Palsson, Erick Armingol, Jan Schellenberger, Olivier Harismendy, Harish Nagarajan, Adam Officer, Daniel R. Hyduke, Aarash Bordbar, Joshua A. Lerman and Tom M Conrad. Their work appears in journals such as Metabolic Engineering, Nature Communications, Biotechnology and Bioengineering, PLoS Computational Biology 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.

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