Christopher Negron
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
- Chemical Synthesis and Analysis
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 1
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- Enzyme Structure and Function 4
- Co-authors
- Amy E. Keating (2 shared papers)Robert Abel (3 shared papers)Lingle Wang (3 shared papers)Thomas Steinbrecher (3 shared papers)Kevin Hauser (2 shared papers)David A. Pearlman (2 shared papers)Guillermo del Angel (2 shared papers)Ronald L. Koder (3 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (3 papers)Journal of Molecular Biology (2 papers)Human Mutation (1 paper)Journal of the American Chemical Society (1 paper)Communications Biology (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Christopher Negron
11 papers receiving 388 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 324
- Computational Theory and Mathematics 66
- Endocrinology, Diabetes and Metabolism 36
- Radiology, Nuclear Medicine and Imaging 38
- Materials Chemistry 75
Countries citing papers authored by Christopher Negron
This map shows the geographic impact of Christopher Negron'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 Christopher Negron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Negron more than expected).
Fields of papers citing papers by Christopher Negron
This network shows the impact of papers produced by Christopher Negron. 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 Christopher Negron. The network helps show where Christopher Negron may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Negron, 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 | 2016 | 84 | |
| 2 | 2019 | 68 | |
| 3 | 2018 | 64 | |
| 4 | 2014 | 50 | |
| 5 | 2020 | 37 | |
| 6 | 2013 | 20 | |
| 7 | 2008 | 18 | |
| 8 | 2010 | 17 | |
| 9 | 2011 | 16 | |
| 10 | 2019 | 12 | |
| 11 | 2021 | 8 |
About Christopher Negron
Christopher Negron is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Genetics and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 394 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), RNA and protein synthesis mechanisms (4 papers), Enzyme Structure and Function (4 papers), Hemoglobin structure and function (3 papers), Machine Learning in Bioinformatics (1 paper), Fungal Plant Pathogen Control (1 paper), Neonatal Health and Biochemistry (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Molecular Biology (324 citations), Computational Theory and Mathematics (66 citations), Endocrinology, Diabetes and Metabolism (36 citations), Radiology, Nuclear Medicine and Imaging (38 citations) and Materials Chemistry (75 citations). Christopher Negron has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Amy E. Keating, Robert Abel, Lingle Wang, Thomas Steinbrecher, Kevin Hauser, David A. Pearlman, Guillermo del Angel, Ronald L. Koder, Anthony Clark and Mengzhen Sun. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Molecular Biology, Human Mutation, Journal of the American Chemical Society and Communications 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.