Enrique E. Abola
- Molecular Biology top 2%
- Materials Chemistry top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Cellular and Molecular Neuroscience top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Jaime PriluskyThomas F. KoetzleF. C. BernsteinRaymond C. StevensAnatoly SorokinMarvin EdelmanV. M. SobolevJoel L. Sussman
- Topics
- Protein Structure and Dynamics (15 papers)Enzyme Structure and Function (15 papers)Receptor Mechanisms and Signaling (5 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Enrique E. Abola
38 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 3.0k
- Materials Chemistry 800
- Radiology, Nuclear Medicine and Imaging 542
- Cellular and Molecular Neuroscience 509
- Computational Theory and Mathematics 412
Countries citing papers authored by Enrique E. Abola
This map shows the geographic impact of Enrique E. Abola'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 Enrique E. Abola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrique E. Abola more than expected).
Fields of papers citing papers by Enrique E. Abola
This network shows the impact of papers produced by Enrique E. Abola. 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 Enrique E. Abola. The network helps show where Enrique E. Abola may publish in the future.
Co-authorship network of co-authors of Enrique E. Abola
This figure shows the co-authorship network connecting the top 25 collaborators of Enrique E. Abola. A scholar is included among the top collaborators of Enrique E. Abola 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 Enrique E. Abola. Enrique E. Abola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 11 | |
| 3 | 379 | |
| 4 | 50 | |
| 5 | 238 | |
| 6 | 78 | |
| 7 | 95 | |
| 8 | Automation of Synchrotron Beam Line Processes for Macromolecular Crystallography Application | 1 |
| 9 | 14 | |
| 10 | 36 | |
| 11 | 119 | |
| 12 | 31 | |
| 13 | Automated analysis of interatomic contacts in proteins.breakdown → | 693 |
| 14 | Protein Data Bank (PDB): Database of Three-Dimensional Structural Information of Biological Macromoleculesbreakdown → | 596 |
| 15 | 25 | |
| 16 | 79 | |
| 17 | The Protein Data Bankbreakdown → | 591 |
| 18 | 42 | |
| 19 | 7 | |
| 20 | 1 |
About Enrique E. Abola
Enrique E. Abola is a scholar working on Structural Biology, Molecular Biology and Spectroscopy, having authored 38 papers that have together received 3.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Enzyme Structure and Function (15 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Cellular and Molecular Neuroscience (509 citations) and Computational Theory and Mathematics (412 citations). Enrique E. Abola has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Jaime Prilusky, Thomas F. Koetzle, F. C. Bernstein, Raymond C. Stevens, Anatoly Sorokin, Marvin Edelman, V. M. Sobolev, Joel L. Sussman, N. O. Manning and Vadim Cherezov. Their work appears in journals such as Journal of the American Chemical Society, Bioinformatics 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.