Melissa Landon
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Epidemiology
- Organic Chemistry
- Co-authors
- Sándor VajdaDima KozakovRyan BrenkeGwo‐Yu ChuangDmitri BeglovCarla MattosDavid R. HallRommie E. Amaro
- Topics
- Protein Structure and Dynamics (3 papers)Computational Drug Discovery Methods (3 papers)Glycosylation and Glycoproteins Research (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsJournal of Medicinal Chemistry
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Melissa Landon
11 papers receiving 728 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 591
- Computational Theory and Mathematics 303
- Materials Chemistry 135
- Epidemiology 102
- Organic Chemistry 76
Countries citing papers authored by Melissa Landon
This map shows the geographic impact of Melissa Landon'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 Melissa Landon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Landon more than expected).
Fields of papers citing papers by Melissa Landon
This network shows the impact of papers produced by Melissa Landon. 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 Melissa Landon. The network helps show where Melissa Landon may publish in the future.
Co-authorship network of co-authors of Melissa Landon
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Landon. A scholar is included among the top collaborators of Melissa Landon 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 Melissa Landon. Melissa Landon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 60 | |
| 3 | 71 | |
| 4 | 364 | |
| 5 | 90 | |
| 6 | 111 | |
| 7 | 7 | |
| 8 | Computational methods for functional site identification suggest a substrate access channel in transaldolase. | 5 |
| 9 | Ethics and policy perspectives on personalized medicine in the post-genomic era. | 3 |
| 10 | 14 | |
| 11 | 14 |
About Melissa Landon
Melissa Landon is a scholar working on Computational Theory and Mathematics, Information Systems and Management and Biochemistry, having authored 11 papers that have together received 741 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (303 citations), Molecular Biology (591 citations) and Aging (8 citations). Melissa Landon has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Sándor Vajda, Dima Kozakov, Ryan Brenke, Gwo‐Yu Chuang, Dmitri Beglov, Carla Mattos, David R. Hall, Rommie E. Amaro, David R. Lancia and David Ozonoff. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Medicinal 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.