Jon E. Black
Impact in
-
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 2
- Biochemical and Molecular Research 1
-
- Enzyme Structure and Function 2
- Co-authors
- Gert Vriend (2 shared papers)Robbie P. Joosten (1 shared paper)Wouter G. Touw (1 shared paper)Elmar Krieger (1 shared paper)Coos Baakman (2 shared papers)Jaroslav Bendl (1 shared paper)Alberto Nobili (1 shared paper)Jan Štourač (1 shared paper)
- Journals
- Protein Engineering Design and Selection (1 paper)Nucleic Acids Research (1 paper)Concurrent Engineering (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Jon E. Black
4 papers receiving 707 citations
Jon E. Black's Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 561
- Computational Theory and Mathematics 63
- Materials Chemistry 166
- Spectroscopy 40
- Microbiology 15
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 18 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 | 697 |
| 2 | 2017 | 9 | |
| 3 | Bioenvironmental Engineering Guide for Composite Materials | 2014 | 2 |
| 4 | 1994 | 1 |
About Jon E. Black
Jon E. Black is a scholar working on Molecular Biology, Materials Chemistry, Information Systems, Artificial Intelligence and Chemical Health and Safety, having authored 4 papers that have together received 709 indexed citations. Recurring topics across this work include Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers), Software Engineering Techniques and Practices (1 paper), Biochemical and Molecular Research (1 paper), Service-Oriented Architecture and Web Services (1 paper), Advanced Software Engineering Methodologies (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Chemical Safety and Risk Management (1 paper). The work is most often cited by research in Molecular Biology (561 citations), Computational Theory and Mathematics (63 citations), Materials Chemistry (166 citations), Spectroscopy (40 citations) and Microbiology (15 citations). Jon E. Black has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gert Vriend, Robbie P. Joosten, Wouter G. Touw, Elmar Krieger, Coos Baakman, Jaroslav Bendl, Alberto Nobili, Jan Štourač, Hanka Venselaar and Peter Haase. Their work appears in journals such as Protein Engineering Design and Selection, Nucleic Acids Research and Concurrent Engineering.
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.