John Ingraham
Impact in
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Microbial Metabolic Engineering and Bioproduction
- Genetics top 5%
- Evolution and Genetic Dynamics
- Bacterial Genetics and Biotechnology
Papers in ⓘ
-
- RNA and protein synthesis mechanisms 9
- Genomics and Phylogenetic Studies 5
- Protein Structure and Dynamics 5
- Bioinformatics and Genomic Networks 3
- Microbial Metabolic Engineering and Bioproduction 2
- RNA Research and Splicing 2
- Co-authors
- Debora S. Marks (9 shared papers)Adam J. Riesselman (5 shared papers)Chris Sander (8 shared papers)Thomas A. Hopf (3 shared papers)Michael Springer (2 shared papers)Charlotta Schärfe (2 shared papers)Frank J. Poelwijk (1 shared paper)Jan Neuhard (2 shared papers)
- Journals
- Journal of Bacteriology (3 papers)Cell (2 papers)Nature Methods (1 paper)Cancer Research (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
John Ingraham
20 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.6k
- Genetics 436
- Computational Theory and Mathematics 150
- Biotechnology 63
- Biophysics 37
Countries citing papers authored by John Ingraham
This map shows the geographic impact of John Ingraham'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 John Ingraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Ingraham more than expected).
Fields of papers citing papers by John Ingraham
This network shows the impact of papers produced by John Ingraham. 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 John Ingraham. The network helps show where John Ingraham may publish in the future.
Co-authors
The 25 scholars most cited alongside John Ingraham, 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 | Mutation effects predicted from sequence co-variation Hit paper breakdown → | 2017 | 447 |
| 2 | 2018 | 334 | |
| 3 | 2018 | 172 | |
| 4 | 2007 | 136 | |
| 5 | 2016 | 110 | |
| 6 | 1969 | 103 | |
| 7 | Generative models for graph-based protein design | 2019 | 98 |
| 8 | 1969 | 98 | |
| 9 | 2015 | 92 | |
| 10 | 2016 | 91 | |
| 11 | 2020 | 69 | |
| 12 | 2020 | 55 | |
| 13 | 1968 | 47 | |
| 14 | Learning Protein Structure with a Differentiable Simulator | 2018 | 44 |
| 15 | 1992 | 31 | |
| 16 | 1973 | 31 | |
| 17 | 2012 | 17 | |
| 18 | 2024 | 13 | |
| 19 | 2022 | 1 | |
| 20 | 2020 | 1 |
About John Ingraham
John Ingraham is a scholar working on Molecular Biology, Endocrinology, Computer Science Applications, Biophysics and Genetics, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (5 papers), Protein Structure and Dynamics (5 papers), Evolution and Genetic Dynamics (3 papers), Bioinformatics and Genomic Networks (3 papers), Hemoglobin structure and function (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Genetics (436 citations), Computational Theory and Mathematics (150 citations), Biotechnology (63 citations) and Biophysics (37 citations). John Ingraham has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Debora S. Marks, Adam J. Riesselman, Chris Sander, Thomas A. Hopf, Michael Springer, Charlotta Schärfe, Frank J. Poelwijk, Jan Neuhard, R T Vinopal and J. Preiss. Their work appears in journals such as Journal of Bacteriology, Cell, Nature Methods, Cancer 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.