Isabella Alvim Guedes
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 10%
- Pharmacology top 5%
- Materials Chemistry
- Co-authors
- Laurent E. DardenneCamila S. de MagalhãesAna L. M. KarlKarina B. SantosEduardo KrempserMaria A. MitevaMélaine A. KuenemannAndré M. S. Barreto
- Topics
- Computational Drug Discovery Methods (16 papers)Cholinesterase and Neurodegenerative Diseases (9 papers)Protein Structure and Dynamics (4 papers)
- Partner nations
- BrazilItalyNetherlands
In The Last Decade
Isabella Alvim Guedes
24 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 619
- Computational Theory and Mathematics 575
- Organic Chemistry 292
- Pharmacology 198
- Materials Chemistry 128
Countries citing papers authored by Isabella Alvim Guedes
This map shows the geographic impact of Isabella Alvim Guedes'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 Isabella Alvim Guedes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabella Alvim Guedes more than expected).
Fields of papers citing papers by Isabella Alvim Guedes
This network shows the impact of papers produced by Isabella Alvim Guedes. 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 Isabella Alvim Guedes. The network helps show where Isabella Alvim Guedes may publish in the future.
Co-authorship network of co-authors of Isabella Alvim Guedes
This figure shows the co-authorship network connecting the top 25 collaborators of Isabella Alvim Guedes. A scholar is included among the top collaborators of Isabella Alvim Guedes 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 Isabella Alvim Guedes. Isabella Alvim Guedes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 35 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 133 | |
| 10 | 101 | |
| 11 | 10 | |
| 12 | 23 | |
| 13 | 7 | |
| 14 | 196 | |
| 15 | 20 | |
| 16 | 14 | |
| 17 | 10 | |
| 18 | 38 | |
| 19 | 19 | |
| 20 | Receptor–ligand molecular dockingbreakdown → | 375 |
About Isabella Alvim Guedes
Isabella Alvim Guedes is a scholar working on Computational Theory and Mathematics, Pharmacology and Sensory Systems, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Cholinesterase and Neurodegenerative Diseases (9 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Computational Theory and Mathematics (575 citations), Pharmacology (198 citations) and Organic Chemistry (292 citations). Isabella Alvim Guedes has collaborated with scholars based in Brazil, Italy and Netherlands. Frequent co-authors include Laurent E. Dardenne, Camila S. de Magalhães, Ana L. M. Karl, Karina B. Santos, Eduardo Krempser, Maria A. Miteva, Mélaine A. Kuenemann, André M. S. Barreto, Olivier Spérandio and Hélio J. C. Barbosa. Their work appears in journals such as Journal of Molecular Biology, Scientific Reports and Molecules.
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.