W. Bargmann
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 1%
- Physiology top 5%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Wilhelm V. MöllendorffA. KnoopE. ScharrerE LindnerT. H. SchieblerK. H. AndresBrigitte KrischKlaus Becker
- Topics
- Marine Invertebrate Physiology and Ecology (7 papers)Caveolin-1 and cellular processes (5 papers)Amino Acid Enzymes and Metabolism (3 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
W. Bargmann
88 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 927
- Cell Biology 866
- Physiology 567
- Endocrine and Autonomic Systems 478
Countries citing papers authored by W. Bargmann
This map shows the geographic impact of W. Bargmann'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 W. Bargmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Bargmann more than expected).
Fields of papers citing papers by W. Bargmann
This network shows the impact of papers produced by W. Bargmann. 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 W. Bargmann. The network helps show where W. Bargmann may publish in the future.
Co-authorship network of co-authors of W. Bargmann
This figure shows the co-authorship network connecting the top 25 collaborators of W. Bargmann. A scholar is included among the top collaborators of W. Bargmann 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 W. Bargmann. W. Bargmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Neurosecretion and neuroendocrine activity : evolution, structure, and function : proceedings of the VIIth International Symposium on Neurosecretion, Leningrad, August 15-21, 1976 | 1 |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 41 | |
| 6 | 106 | |
| 7 | 41 | |
| 8 | The formation of milk fat and milk protein. | 4 |
| 9 | 66 | |
| 10 | 29 | |
| 11 | [The site of formation of chorionic gonadotropins & placental steroids]. | 8 |
| 12 | 123 | |
| 13 | 41 | |
| 14 | [Histological, cytochemical and electron-microscopic studies of the nephron, with special reference to the mitochondria]. | 94 |
| 15 | 38 | |
| 16 | [The problem of neurohormonal control of pituitary gland]. | 4 |
| 17 | 5 | |
| 18 | 12 | |
| 19 | 99 | |
| 20 | The site of origin of the hormones of the posterior pituitary.breakdown → | 270 |
About W. Bargmann
W. Bargmann is a scholar working on Paleontology, Anatomy and Structural Biology, having authored 88 papers that have together received 4.8k indexed citations. Recurring topics across this work include Marine Invertebrate Physiology and Ecology (7 papers), Caveolin-1 and cellular processes (5 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (478 citations), Cell Biology (866 citations) and Neurology (434 citations). W. Bargmann has collaborated with scholars based in Germany and United States. Frequent co-authors include Wilhelm V. Möllendorff, A. Knoop, E. Scharrer, E Lindner, T. H. Schiebler, K. H. Andres, Brigitte Krisch, Klaus Becker, Ulrich Welsch and Nancy Davis. Their work appears in journals such as Journal of Virology, Cell and Tissue Research and Journal of Molecular Medicine.
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.