David G. Wernick

1.7k total citations · 1 hit paper
11 papers, 1.2k citations indexed

About

David G. Wernick is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, David G. Wernick has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Biomedical Engineering and 3 papers in Materials Chemistry. Recurrent topics in David G. Wernick's work include Microbial Metabolic Engineering and Bioproduction (8 papers), Biofuel production and bioconversion (3 papers) and Enzyme Structure and Function (3 papers). David G. Wernick is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (8 papers), Biofuel production and bioconversion (3 papers) and Enzyme Structure and Function (3 papers). David G. Wernick collaborates with scholars based in United States, Israel and Singapore. David G. Wernick's co-authors include James C. Liao, Yi‐Xin Huo, Han Li, Tung‐Yun Wu, Paul H. Opgenorth, Wendy Higashide, Peter Malati, Steven C. Rogers, Yinon M. Bar‐On and Ron Milo and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

David G. Wernick

11 papers receiving 1.2k citations

Hit Papers

Integrated Electromicrobi... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David G. Wernick United States 9 735 427 352 307 108 11 1.2k
Paul H. Opgenorth United States 7 811 1.1× 316 0.7× 357 1.0× 262 0.9× 128 1.2× 9 1.3k
Tung‐Yun Wu United States 7 1.0k 1.4× 372 0.9× 623 1.8× 272 0.9× 103 1.0× 8 1.5k
Charles A. R. Cotton United Kingdom 14 780 1.1× 369 0.9× 278 0.8× 230 0.7× 46 0.4× 18 1.2k
Marika Ziesack United States 10 496 0.7× 649 1.5× 209 0.6× 311 1.0× 221 2.0× 11 1.4k
Kai Schuchmann Germany 14 1.1k 1.5× 667 1.6× 538 1.5× 490 1.6× 99 0.9× 14 2.0k
Oren Yishai Germany 7 647 0.9× 215 0.5× 237 0.7× 120 0.4× 25 0.2× 7 824
Roman A. Voloshin Russia 12 323 0.4× 414 1.0× 410 1.2× 122 0.4× 150 1.4× 23 1.1k
Carrie A. Eckert United States 18 667 0.9× 347 0.8× 149 0.4× 174 0.6× 28 0.3× 43 988
Jonathan Lo United States 17 500 0.7× 101 0.2× 429 1.2× 140 0.5× 29 0.3× 22 731
Margarita V. Rodionova Russia 10 253 0.3× 299 0.7× 497 1.4× 68 0.2× 77 0.7× 16 983

Countries citing papers authored by David G. Wernick

Since Specialization
Citations

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

Fields of papers citing papers by David G. Wernick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Wernick. 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 David G. Wernick. The network helps show where David G. Wernick may publish in the future.

Co-authorship network of co-authors of David G. Wernick

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Wernick. A scholar is included among the top collaborators of David G. Wernick 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 David G. Wernick. David G. Wernick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Wu, Zachary, et al.. (2020). Signal Peptides Generated by Attention-Based Neural Networks. ACS Synthetic Biology. 9(8). 2154–2161. 65 indexed citations
2.
Davidi, Dan, Melina Shamshoum, Zhijun Guo, et al.. (2020). Highly active rubiscos discovered by systematic interrogation of natural sequence diversity. The EMBO Journal. 39(18). e104081–e104081. 77 indexed citations
3.
Antonovsky, Niv, Yinon M. Bar‐On, Dan Davidi, et al.. (2017). The genetic basis for the adaptation of E. coli to sugar synthesis from CO2. Nature Communications. 8(1). 1705–1705. 43 indexed citations
4.
Wernick, David G., et al.. (2016). Sustainable biorefining in wastewater by engineered extreme alkaliphile Bacillus marmarensis. Scientific Reports. 6(1). 20224–20224. 32 indexed citations
5.
Antonovsky, Niv, Shmuel Gleizer, Εlad Noor, et al.. (2016). Sugar Synthesis from CO2 in Escherichia coli. Cell. 166(1). 115–125. 274 indexed citations
6.
Wernick, David G.. (2015). Toward Nitrogen-Neutral and Contamination-Resistant Biofuels and Chemicals for a Sustainable Future. eScholarship (California Digital Library). 1 indexed citations
7.
Choi, Kwon‐Young, et al.. (2014). Consolidated conversion of protein waste into biofuels and ammonia using Bacillus subtilis. Metabolic Engineering. 23. 53–61. 77 indexed citations
8.
Wernick, David G. & James C. Liao. (2013). Protein-based biorefining: metabolic engineering for production of chemicals and fuel with regeneration of nitrogen fertilizers. Applied Microbiology and Biotechnology. 97(4). 1397–1406. 27 indexed citations
9.
Wernick, David G., et al.. (2013). Genome Sequence of the Extreme Obligate Alkaliphile Bacillus marmarensis Strain DSM 21297. Genome Announcements. 1(6). 6 indexed citations
10.
Li, Han, Paul H. Opgenorth, David G. Wernick, et al.. (2012). Integrated Electromicrobial Conversion of CO 2 to Higher Alcohols. Science. 335(6076). 1596–1596. 591 indexed citations breakdown →
11.
Huo, Yi‐Xin, David G. Wernick, & James C. Liao. (2011). Toward nitrogen neutral biofuel production. Current Opinion in Biotechnology. 23(3). 406–413. 48 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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