Jason A. Papin
- Molecular Biology top 1%
- Biomedical Engineering top 2%
- Genetics top 5%
- Computational Theory and Mathematics top 1%
- Renewable Energy, Sustainability and the Environment top 5%
- Co-authors
- Bernhard Ø. PalssonMatthew OberhardtNathan D. PriceErwin P. GianchandaniPaul A. JensenAnna S. BlazierArvind K. ChavaliGlynis L. Kolling
- Topics
- Microbial Metabolic Engineering and Bioproduction (72 papers)Bioinformatics and Genomic Networks (38 papers)Gene Regulatory Network Analysis (29 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jason A. Papin
137 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Molecular Biology 5.9k
- Biomedical Engineering 1.6k
- Genetics 581
- Computational Theory and Mathematics 437
- Renewable Energy, Sustainability and the Environment 334
Countries citing papers authored by Jason A. Papin
This map shows the geographic impact of Jason A. Papin'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 Jason A. Papin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason A. Papin more than expected).
Fields of papers citing papers by Jason A. Papin
This network shows the impact of papers produced by Jason A. Papin. 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 Jason A. Papin. The network helps show where Jason A. Papin may publish in the future.
Co-authorship network of co-authors of Jason A. Papin
This figure shows the co-authorship network connecting the top 25 collaborators of Jason A. Papin. A scholar is included among the top collaborators of Jason A. Papin 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 Jason A. Papin. Jason A. Papin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 35 | |
| 7 | 25 | |
| 8 | 19 | |
| 9 | 34 | |
| 10 | 22 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 32 | |
| 14 | 11 | |
| 15 | 78 | |
| 16 | 9 | |
| 17 | 35 | |
| 18 | 7 | |
| 19 | 67 | |
| 20 | 23 |
About Jason A. Papin
Jason A. Papin is a scholar working on Molecular Biology, Pharmacology and Parasitology, having authored 141 papers that have together received 7.2k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (72 papers), Bioinformatics and Genomic Networks (38 papers) and Gene Regulatory Network Analysis (29 papers). The work is most often cited by research in Molecular Biology (5.9k citations), Biomedical Engineering (1.6k citations) and Molecular Medicine (149 citations). Jason A. Papin has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Bernhard Ø. Palsson, Matthew Oberhardt, Nathan D. Price, Erwin P. Gianchandani, Paul A. Jensen, Anna S. Blazier, Arvind K. Chavali, Glynis L. Kolling, Matthew B. Biggs and Shankar Subramaniam. Their work appears in journals such as Nature Communications, Nature Reviews Molecular Cell Biology and Bioinformatics.
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.