Monika Wierdl
- Molecular Biology top 10%
- Pharmacology top 2%
- Genetics top 10%
- Plant Science top 10%
- Organic Chemistry top 10%
- Co-authors
- Thomas D. PetesPhilip M. PotterMargaret DominskaMary K. DanksChristopher L. MortonCarol C. EdwardsJanice L. HyattLyudmila Tsurkan
- Topics
- Cholinesterase and Neurodegenerative Diseases (17 papers)Computational Drug Discovery Methods (8 papers)Cancer therapeutics and mechanisms (8 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Monika Wierdl
29 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 876
- Pharmacology 375
- Genetics 305
- Plant Science 299
- Organic Chemistry 249
Countries citing papers authored by Monika Wierdl
This map shows the geographic impact of Monika Wierdl'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 Monika Wierdl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monika Wierdl more than expected).
Fields of papers citing papers by Monika Wierdl
This network shows the impact of papers produced by Monika Wierdl. 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 Monika Wierdl. The network helps show where Monika Wierdl may publish in the future.
Co-authorship network of co-authors of Monika Wierdl
This figure shows the co-authorship network connecting the top 25 collaborators of Monika Wierdl. A scholar is included among the top collaborators of Monika Wierdl 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 Monika Wierdl. Monika Wierdl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 129 | |
| 4 | 11 | |
| 5 | 13 | |
| 6 | 40 | |
| 7 | 29 | |
| 8 | 43 | |
| 9 | 37 | |
| 10 | 19 | |
| 11 | 60 | |
| 12 | 41 | |
| 13 | 61 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 36 | |
| 17 | Sensitization of human tumor cells to CPT-11 via adenoviral-mediated delivery of a rabbit liver carboxylesterase. | 54 |
| 18 | 16 | |
| 19 | Activation of CPT-11 in mice: identification and analysis of a highly effective plasma esterase. | 61 |
| 20 | 336 |
About Monika Wierdl
Monika Wierdl is a scholar working on Pharmacology, Computational Theory and Mathematics and Toxicology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (17 papers), Computational Drug Discovery Methods (8 papers) and Cancer therapeutics and mechanisms (8 papers). The work is most often cited by research in Pharmacology (375 citations), Computational Theory and Mathematics (230 citations) and Molecular Biology (876 citations). Monika Wierdl has collaborated with scholars based in United States and Canada. Frequent co-authors include Thomas D. Petes, Philip M. Potter, Margaret Dominska, Mary K. Danks, Christopher L. Morton, Carol C. Edwards, Janice L. Hyatt, Lyudmila Tsurkan, Randy M. Wadkins and M. Jason Hatfield. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biochemistry.
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.