Adam M. Feist
- Molecular Biology top 0.2%
- Microbial Metabolic Engineering and Bioproduction 81
- Gene Regulatory Network Analysis 35
- Enzyme Catalysis and Immobilization 12
- RNA and protein synthesis mechanisms 9
- CRISPR and Genetic Engineering 8
- Biomedical Engineering top 0.5%
- Biofuel production and bioconversion 30
- Genetics top 1%
- Evolution and Genetic Dynamics 26
- Bacterial Genetics and Biotechnology 24
- Biochemistry top 2%
- Co-authors
- Bernhard Ø. PalssonMarkus J. HerrgårdJeffrey D. OrthJennifer L. ReedInes ThieleDouglas McCloskeyTroy E. SandbergJoshua A. Lerman
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Nucleic Acids Research (1 paper)Nature Communications (7 papers)
- Partner nations
- United StatesDenmarkCanada
In The Last Decade
Adam M. Feist
122 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 10.3k
- Biomedical Engineering 4.0k
- Genetics 1.7k
- Renewable Energy, Sustainability and the Environment 650
- Biochemistry 280
Countries citing papers authored by Adam M. Feist
This map shows the geographic impact of Adam M. Feist'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 Adam M. Feist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam M. Feist more than expected).
Fields of papers citing papers by Adam M. Feist
This network shows the impact of papers produced by Adam M. Feist. 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 Adam M. Feist. The network helps show where Adam M. Feist may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adam M. Feist, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 20 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 13 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 53 | |
| 13 | 2020 | 59 | |
| 14 | 2020 | 62 | |
| 15 | 2019 | 60 | |
| 16 | 2019 | 72 | |
| 17 | 2018 | 28 | |
| 18 | 2013 | 25 | |
| 19 | 2008 | 1 | |
| 20 | A genome‐scale metabolic reconstruction for Escherichia coli K‐12 MG1655 that accounts for 1260 ORFs and thermodynamic informationbreakdown → | 2007 | 1044 |
About Adam M. Feist
Adam M. Feist is a scholar working on Genetics, Molecular Biology and Clinical Biochemistry, having authored 127 papers that have together received 11.7k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (81 papers), Gene Regulatory Network Analysis (35 papers), Biofuel production and bioconversion (30 papers), Evolution and Genetic Dynamics (26 papers), Bacterial Genetics and Biotechnology (24 papers), Enzyme Catalysis and Immobilization (12 papers), RNA and protein synthesis mechanisms (9 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Molecular Biology (10.3k citations), Biomedical Engineering (4.0k citations) and Genetics (1.7k citations). Adam M. Feist has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include Bernhard Ø. Palsson, Markus J. Herrgård, Jeffrey D. Orth, Jennifer L. Reed, Ines Thiele, Douglas McCloskey, Troy E. Sandberg, Joshua A. Lerman, Daniel C. Zielinski and Aarash Bordbar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.