T. Barth
Impact in
- Analytical Chemistry top 5%
- Analytical Methods in Pharmaceuticals
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
Papers in
-
- Neuroendocrine regulation and behavior 23
- Spectroscopy 19
- Analytical Chemistry and Chromatography 16
- Co-authors
- Mônica Tallarico Pupo (9 shared papers)Jana Škopková (7 shared papers)Serge Jard (4 shared papers)Sérgio Luiz Dalmora (10 shared papers)Pierina Sueli Bonato (7 shared papers)Anderson Rodrigo Moraes de Oliveira (7 shared papers)Christian Roy (2 shared papers)K. C. Nicolaou (1 shared paper)
In The Last Decade
T. Barth
85 papers receiving 852 citations
Peers
Comparison fields: 5 of 119
- Analytical Chemistry 150
- Endocrine and Autonomic Systems 75
- Spectroscopy 172
- Social Psychology 212
- Pharmacology 82
Countries citing papers authored by T. Barth
This map shows the geographic impact of T. Barth'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 T. Barth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Barth more than expected).
Fields of papers citing papers by T. Barth
This network shows the impact of papers produced by T. Barth. 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 T. Barth. The network helps show where T. Barth may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Barth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On the blood-brain barrier to peptides: accumulation of labelled vasopressin, DesGlyNH2-vasopressin and oxytocin by brain regions. | 1985 | 87 |
| 2 | 1995 | 78 | |
| 3 | 1975 | 47 | |
| 4 | 2020 | 37 | |
| 5 | 2016 | 30 | |
| 6 | 2010 | 30 | |
| 7 | 1986 | 27 | |
| 8 | 1974 | 25 | |
| 9 | 2019 | 24 | |
| 10 | 2013 | 21 | |
| 11 | Antidiuretic hormone-sensitive kidney adenylate cyclase. | 1975 | 21 |
| 12 | 2008 | 19 | |
| 13 | 2010 | 19 | |
| 14 | 2007 | 18 | |
| 15 | 2012 | 17 | |
| 16 | 2011 | 17 | |
| 17 | 2017 | 17 | |
| 18 | 1974 | 17 | |
| 19 | 2011 | 16 | |
| 20 | 2007 | 16 |
About T. Barth
T. Barth is a scholar working on Social Psychology, Spectroscopy, Molecular Biology, Analytical Chemistry and Pharmacology, having authored 87 papers that have together received 916 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (23 papers), Analytical Chemistry and Chromatography (16 papers), Analytical Methods in Pharmaceuticals (11 papers), Electrolyte and hormonal disorders (8 papers), Anesthesia and Neurotoxicity Research (5 papers), Phytochemistry and Biological Activities (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). The work is most often cited by research in Analytical Chemistry (150 citations), Endocrine and Autonomic Systems (75 citations), Spectroscopy (172 citations), Social Psychology (212 citations) and Pharmacology (82 citations). T. Barth has collaborated with scholars based in Brazil, Czechia and Germany. Frequent co-authors include Mônica Tallarico Pupo, Jana Škopková, Serge Jard, Sérgio Luiz Dalmora, Pierina Sueli Bonato, Anderson Rodrigo Moraes de Oliveira, Christian Roy, K. C. Nicolaou, Virginia A. Estevez and A. Ermisch. Their work appears in journals such as Journal of AOAC International, Cellular and Molecular Life Sciences, Analytical and Bioanalytical Chemistry, Scientific Reports and Journal of Separation Science.
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.