Jon E. Black
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 2
- Bacillus and Francisella bacterial research 1
- Biochemical and Molecular Research 1
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- Enzyme Structure and Function 2
- Co-authors
- Coos Baakman (2 shared papers)Gert Vriend (2 shared papers)Wouter G. Touw (1 shared paper)Elmar Krieger (1 shared paper)Robbie P. Joosten (1 shared paper)Jaroslav Bendl (1 shared paper)Bradley S. Stevenson (1 shared paper)David L. Johnson (1 shared paper)
- Journals
- Nucleic Acids Research (1 paper)Protein Engineering Design and Selection (1 paper)Concurrent Engineering (1 paper)American Journal of Infection Control (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Jon E. Black
7 papers receiving 727 citations
Jon E. Black's Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 542
- Computational Theory and Mathematics 55
- Materials Chemistry 154
- Microbiology 16
- Physiology 59
Countries citing papers authored by Jon E. Black
This map shows the geographic impact of Jon E. Black'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 Jon E. Black with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon E. Black more than expected).
Fields of papers citing papers by Jon E. Black
This network shows the impact of papers produced by Jon E. Black. 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 Jon E. Black. The network helps show where Jon E. Black may publish in the future.
Co-authors
The 20 scholars most cited alongside Jon E. Black, 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 | A series of PDB-related databanks for everyday needs Hit paper breakdown → | 2014 | 708 |
| 2 | 2017 | 9 | |
| 3 | 2020 | 7 | |
| 4 | Bioenvironmental Engineering Guide for Composite Materials | 2014 | 2 |
| 5 | Evaluation of XMX/2L-MIL Virtual Impactor Performance and Capture and Retention of Aerosol Particles in Two Different Collection Media | 2012 | 2 |
| 6 | 1994 | 1 | |
| 7 | Interinstrument Variability and Validation Study for the XMX/2L-MIL Biological Air Sampler | 2012 | 1 |
About Jon E. Black
Jon E. Black is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Information Systems and Ocean Engineering, having authored 7 papers that have together received 730 indexed citations. Recurring topics across this work include Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers), Bacillus and Francisella bacterial research (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper), Chemical Safety and Risk Management (1 paper), Advanced Software Engineering Methodologies (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Molecular Biology (542 citations), Computational Theory and Mathematics (55 citations), Materials Chemistry (154 citations), Microbiology (16 citations) and Physiology (59 citations). Jon E. Black has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Coos Baakman, Gert Vriend, Wouter G. Touw, Elmar Krieger, Robbie P. Joosten, Jaroslav Bendl, Bradley S. Stevenson, David L. Johnson, Jiřı́ Damborský and Maika Genz. Their work appears in journals such as Nucleic Acids Research, Protein Engineering Design and Selection, Concurrent Engineering and American Journal of Infection Control.
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.