Cláudia Seidl
- Co-authors
- Carmen Lúcia CardosoCid Aimbiré de Moraes SantosAndréa Emília Marques StinghenWenji PuGeeta K. SwamyP. WebsterJoon Hyung KimJens‐Ulrich Stegmann
- Topics
- Cholinesterase and Neurodegenerative Diseases (8 papers)Computational Drug Discovery Methods (3 papers)Enzyme Catalysis and Immobilization (3 papers)
- Partner nations
- BrazilUnited StatesGermany
In The Last Decade
Cláudia Seidl
23 papers receiving 279 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Molecular Biology 91
- Pharmacology 79
- Epidemiology 71
- Organic Chemistry 43
- Plant Science 28
Countries citing papers authored by Cláudia Seidl
This map shows the geographic impact of Cláudia Seidl'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 Cláudia Seidl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cláudia Seidl more than expected).
Fields of papers citing papers by Cláudia Seidl
This network shows the impact of papers produced by Cláudia Seidl. 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 Cláudia Seidl. The network helps show where Cláudia Seidl may publish in the future.
Co-authorship network of co-authors of Cláudia Seidl
This figure shows the co-authorship network connecting the top 25 collaborators of Cláudia Seidl. A scholar is included among the top collaborators of Cláudia Seidl 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 Cláudia Seidl. Cláudia Seidl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | RSV Prefusion F Protein–Based Maternal Vaccine — Preterm Birth and Other Outcomesbreakdown → | 62 |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 28 | |
| 9 | 14 | |
| 10 | 15 | |
| 11 | Fluent Preparation for Hydrophilic Interaction Liquid Chromatography, Part I: Solvent Volumes and Buffer Counterions | 2 |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 33 | |
| 18 | 15 | |
| 19 | 9 | |
| 20 | [Treatment of watermelon stomach (GAVE syndrome) with endoscopic argon plasma coagulation (APC). A new therapy approach]. | 7 |
About Cláudia Seidl
Cláudia Seidl is a scholar working on Pharmacology, Physiology and Computational Theory and Mathematics, having authored 24 papers that have together received 290 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (8 papers), Computational Drug Discovery Methods (3 papers) and Enzyme Catalysis and Immobilization (3 papers). The work is most often cited by research in Pharmacology (79 citations), Complementary and alternative medicine (22 citations) and Epidemiology (71 citations). Cláudia Seidl has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Carmen Lúcia Cardoso, Cid Aimbiré de Moraes Santos, Andréa Emília Marques Stinghen, Wenji Pu, Geeta K. Swamy, P. Webster, Joon Hyung Kim, Jens‐Ulrich Stegmann, Philip R. Dormitzer and Ilse Dieussaert. Their work appears in journals such as New England Journal of Medicine, Analytical Biochemistry and Scientific Reports.
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.