Intra- and extrahypothalamic vasopressin and oxytocin pathways in the rat
- Authors
- Ruud M. Buijs
- Journal
- Cell and Tissue Research
In The Last Decade
doi.org/10.1007/bf00212323 →Countries where authors are citing Intra- and extrahypothalamic vasopressin and oxytocin pathways in the rat
This map shows the geographic impact of Intra- and extrahypothalamic vasopressin and oxytocin pathways in the rat. 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 Intra- and extrahypothalamic vasopressin and oxytocin pathways in the rat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Intra- and extrahypothalamic vasopressin and oxytocin pathways in the rat more than expected).
Fields of papers citing Intra- and extrahypothalamic vasopressin and oxytocin pathways in the rat
This network shows the impact of Intra- and extrahypothalamic vasopressin and oxytocin pathways in the rat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Intra- and extrahypothalamic vasopressin and oxytocin pathways in the rat.
About Intra- and extrahypothalamic vasopressin and oxytocin pathways in the rat
This paper, published in 1978, received 726 indexed citations . Written by Ruud M. Buijs covering the research area of Endocrine and Autonomic Systems, Behavioral Neuroscience and Social Psychology. It is primarily cited by scholars working on Social Psychology (539 citations), Endocrine and Autonomic Systems (369 citations) and Cellular and Molecular Neuroscience (221 citations). Published in Cell and Tissue Research.
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.
This paper is also available at doi.org/10.1007/bf00212323.