Linda Traphagen
- Computational Theory and Mathematics top 1%
- Molecular Biology
- Pharmacology top 10%
- Organic Chemistry
- Spectroscopy
- Co-authors
- James L. KofronYvonne C. MartinUsha WarriorDavid J. BurnsAkhteruzzaman MollaRandy L. BellRichard R. HarrisAngela M. Nilius
- Topics
- Computational Drug Discovery Methods (3 papers)Antimicrobial Resistance in Staphylococcus (2 papers)Innovative Microfluidic and Catalytic Techniques Innovation (1 paper)
- Journals
- Journal of Medicinal ChemistryBioorganic & Medicinal Chemistry LettersJournal of Neuroscience Methods
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Linda Traphagen
10 papers receiving 627 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 413
- Molecular Biology 389
- Pharmacology 117
- Organic Chemistry 88
- Spectroscopy 68
Countries citing papers authored by Linda Traphagen
This map shows the geographic impact of Linda Traphagen'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 Linda Traphagen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Traphagen more than expected).
Fields of papers citing papers by Linda Traphagen
This network shows the impact of papers produced by Linda Traphagen. 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 Linda Traphagen. The network helps show where Linda Traphagen may publish in the future.
Co-authorship network of co-authors of Linda Traphagen
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Traphagen. A scholar is included among the top collaborators of Linda Traphagen 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 Linda Traphagen. Linda Traphagen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 21 | |
| 5 | 22 | |
| 6 | 11 | |
| 7 | Do Structurally Similar Molecules Have Similar Biological Activity?breakdown → | 555 |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 2 |
About Linda Traphagen
Linda Traphagen is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Infectious Diseases, having authored 10 papers that have together received 645 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). The work is most often cited by research in Computational Theory and Mathematics (413 citations), Pharmacology (117 citations) and Pharmacology (53 citations). Linda Traphagen has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James L. Kofron, Yvonne C. Martin, Usha Warrior, David J. Burns, Akhteruzzaman Molla, Randy L. Bell, Richard R. Harris, Angela M. Nilius, Zhensheng Cao and Sujatha M. Gopalakrishnan. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters and Journal of Neuroscience Methods.
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.