Alex Morehead
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 10
- Machine Learning in Bioinformatics 4
- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 2
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- Computational Drug Discovery Methods 7
- Co-authors
- Jianlin Cheng (9 shared papers)Chen Chen (3 shared papers)Xiao Chen (2 shared papers)Tianqi Wu (1 shared paper)Ye Duan (1 shared paper)Yaw Adu‐Gyamfi (1 shared paper)George Mohler (1 shared paper)Armstrong Aboah (1 shared paper)
- Journals
- Bioinformatics (4 papers)Proteins Structure Function and Bioinformatics (1 paper)Scientific Data (1 paper)Protein Science (1 paper)Communications Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Alex Morehead
12 papers receiving 121 citations
Peers
Comparison fields: 5 of 42
- Computational Theory and Mathematics 46
- Structural Biology 2
- Computer Vision and Pattern Recognition 21
- Molecular Biology 71
- Signal Processing 8
Countries citing papers authored by Alex Morehead
This map shows the geographic impact of Alex Morehead'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 Alex Morehead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Morehead more than expected).
Fields of papers citing papers by Alex Morehead
This network shows the impact of papers produced by Alex Morehead. 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 Alex Morehead. The network helps show where Alex Morehead may publish in the future.
Co-authors
The 15 scholars most cited alongside Alex Morehead, 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 | 2024 | 26 | |
| 2 | 2023 | 20 | |
| 3 | 2019 | 17 | |
| 4 | 2022 | 16 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 10 | |
| 7 | 2021 | 6 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 |
About Alex Morehead
Alex Morehead is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Developmental Biology and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 125 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (7 papers), Machine Learning in Bioinformatics (4 papers), Machine Learning in Materials Science (2 papers), Bioinformatics and Genomic Networks (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Animal Vocal Communication and Behavior (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Computational Theory and Mathematics (46 citations), Structural Biology (2 citations), Computer Vision and Pattern Recognition (21 citations), Molecular Biology (71 citations) and Signal Processing (8 citations). Alex Morehead has collaborated with scholars based in United States. Frequent co-authors include Jianlin Cheng, Chen Chen, Xiao Chen, Tianqi Wu, Ye Duan, Yaw Adu‐Gyamfi, George Mohler, Armstrong Aboah, Ada Sedova and Farhan Quadir. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, Scientific Data, Protein Science and Communications Chemistry.
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.