John Ingraham

4.8k citations
21 papers · 2.7k · 3 hit papers · h-index 19

Impact in

    • 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%

Papers in

    • RNA and protein synthesis mechanisms 8
    • Protein Structure and Dynamics 6
    • Genomics and Phylogenetic Studies 4
    • Bioinformatics and Genomic Networks 3
    • Gene Regulatory Network Analysis 2
    • Machine Learning in Bioinformatics 2
    • Evolution and Genetic Dynamics 2

John Ingraham

21 papers receiving 2.6k citations

John Ingraham's Hit Papers

Illuminating protein space with a programmable generative model 2023 · 255 citations
2550+3+6Years since publication100200300400

Peers

John Ingraham
Comparison fields: 5 of 130
  • Molecular Biology 1.9k
  • Genetics 450
  • Infectious Diseases 285
  • Computational Theory and Mathematics 174
  • Biotechnology 76
Replace Jaap Heringa with:
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John Ingraham relative to Jaap Heringa Netherlands Jaap Heringa's profile →
Citations per field
00.5×1.5×2.2×
Jaap Heringa · 1×
Citations per year

Countries citing papers authored by John Ingraham

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John Ingraham Line = papers co-authored together John Ingraham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mutation effects predicted from sequence co-variation
Hit paper breakdown →
2017499
2 2018373
3
Illuminating protein space with a programmable generative model
Hit paper breakdown →
2023255
4
Defining variant-resistant epitopes targeted by SARS-CoV-2 antibodies: A global consortium study
Hit paper breakdown →
2021252
5 2018189
6 2007149
7 2016117
8
Generative models for graph-based protein design
2019112
9 1969106
10 2016102
11 196998
12 201595
13 202080
14 202064
15 196850
16
Learning Protein Structure with a Differentiable Simulator
201844
17 197331
18 199230
19 201220
20 202416

About John Ingraham

John Ingraham is a scholar working on Molecular Biology, Genetics, Cell Biology, Endocrinology and Biophysics, having authored 21 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Protein Structure and Dynamics (6 papers), Genomics and Phylogenetic Studies (4 papers), Bioinformatics and Genomic Networks (3 papers), Gene Regulatory Network Analysis (2 papers), Machine Learning in Bioinformatics (2 papers), Hemoglobin structure and function (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Genetics (450 citations), Infectious Diseases (285 citations), Computational Theory and Mathematics (174 citations) and Biotechnology (76 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, Tommi Jaakkola and Regina Barzilay. Their work appears in journals such as Journal of Bacteriology, Cell, Bioinformatics, Proceedings of the National Academy of Sciences and Journal of Molecular 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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