Claudia M. Ochatt
- Epidemiology top 2%
- Molecular Biology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Physiology top 10%
- Physiology top 2%
- Co-authors
- Elizabeth WirtzGeorge CrossSimone LealMarı́a Teresa Téllez-IñónHéctor N. TorresRita M. UlloaMarcelo G. KazanietzMarı́a L. Gómez
- Topics
- Trypanosoma species research and implications (5 papers)Research on Leishmaniasis Studies (4 papers)Toxin Mechanisms and Immunotoxins (2 papers)
- Journals
- International Journal for ParasitologyNeuroendocrinologyMolecular and Cellular Biochemistry
- Partner nations
- ArgentinaUnited StatesSwitzerland
In The Last Decade
Claudia M. Ochatt
7 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Epidemiology 1.1k
- Molecular Biology 727
- Public Health, Environmental and Occupational Health 470
- Physiology 213
- Physiology 138
Countries citing papers authored by Claudia M. Ochatt
This map shows the geographic impact of Claudia M. Ochatt'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 Claudia M. Ochatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia M. Ochatt more than expected).
Fields of papers citing papers by Claudia M. Ochatt
This network shows the impact of papers produced by Claudia M. Ochatt. 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 Claudia M. Ochatt. The network helps show where Claudia M. Ochatt may publish in the future.
Co-authorship network of co-authors of Claudia M. Ochatt
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia M. Ochatt. A scholar is included among the top collaborators of Claudia M. Ochatt 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 Claudia M. Ochatt. Claudia M. Ochatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 19 | |
| 3 | A tightly regulated inducible expression system for conditional gene knock-outs and dominant-negative genetics in Trypanosoma bruceibreakdown → | 1200 |
| 4 | 5 | |
| 5 | 24 | |
| 6 | 17 | |
| 7 | 6 |
About Claudia M. Ochatt
Claudia M. Ochatt is a scholar working on Behavioral Neuroscience, Public Health, Environmental and Occupational Health and Epidemiology, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (5 papers), Research on Leishmaniasis Studies (4 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Epidemiology (1.1k citations), Physiology (138 citations) and Public Health, Environmental and Occupational Health (470 citations). Claudia M. Ochatt has collaborated with scholars based in Argentina, United States and Switzerland. Frequent co-authors include Elizabeth Wirtz, George Cross, Simone Leal, Marı́a Teresa Téllez-Iñón, Héctor N. Torres, Rita M. Ulloa, Marcelo G. Kazanietz, Marı́a L. Gómez, Jaime A. Moguilevsky and Daniel P. Cardinali. Their work appears in journals such as International Journal for Parasitology, Neuroendocrinology and Molecular and Cellular 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.