Daniel Langenegger
- Molecular Biology top 10%
- Epidemiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Organic Chemistry top 10%
- Oncology
- Co-authors
- Daniël HoyerPhilippe SchoeffterHerbert SchmidAmnon HoffmanÉric BironCaroline NunnJayanta ChatterjeeJoseph Brueggen
- Topics
- Neuroendocrine Tumor Research Advances (22 papers)Receptor Mechanisms and Signaling (13 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)
- Journals
- Angewandte Chemie International EditionAnnals of the New York Academy of SciencesBritish Journal of Pharmacology
- Partner nations
- SwitzerlandItalyGermany
In The Last Decade
Daniel Langenegger
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 796
- Epidemiology 299
- Cellular and Molecular Neuroscience 260
- Organic Chemistry 225
- Oncology 169
Countries citing papers authored by Daniel Langenegger
This map shows the geographic impact of Daniel Langenegger'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 Daniel Langenegger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Langenegger more than expected).
Fields of papers citing papers by Daniel Langenegger
This network shows the impact of papers produced by Daniel Langenegger. 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 Daniel Langenegger. The network helps show where Daniel Langenegger may publish in the future.
Co-authorship network of co-authors of Daniel Langenegger
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Langenegger. A scholar is included among the top collaborators of Daniel Langenegger 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 Daniel Langenegger. Daniel Langenegger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 10 | |
| 3 | 11 | |
| 4 | 304 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 38 | |
| 9 | 23 | |
| 10 | 18 | |
| 11 | 28 | |
| 12 | 13 | |
| 13 | 37 | |
| 14 | 75 | |
| 15 | 34 | |
| 16 | 53 | |
| 17 | 11 | |
| 18 | 14 | |
| 19 | 44 | |
| 20 | 40 |
About Daniel Langenegger
Daniel Langenegger is a scholar working on Epidemiology, Developmental Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (22 papers), Receptor Mechanisms and Signaling (13 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Microbiology (107 citations), Cellular and Molecular Neuroscience (260 citations) and Molecular Biology (796 citations). Daniel Langenegger has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Daniël Hoyer, Philippe Schoeffter, Herbert Schmid, Amnon Hoffman, Éric Biron, Caroline Nunn, Jayanta Chatterjee, Joseph Brueggen, Raz Jelinek and Oded Ovadia. Their work appears in journals such as Angewandte Chemie International Edition, Annals of the New York Academy of Sciences and British Journal of Pharmacology.
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.