Samuel Hintermann

28 papers receiving 1.1k citations

Peers

Samuel Hintermann
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 383
  • Endocrine and Autonomic Systems 105
  • Immunology 216
  • Organic Chemistry 273
  • Cognitive Neuroscience 174
Replace Curt A. Dvorak with:
Curt A. Dvorak United States
Mitsuru Ohkubo Japan
Christophe Plisson United Kingdom
Shil Patel United States
Sigurd Elz Germany
Romain Noël France
Martin Missbach Switzerland
Wenying Chai United States
Richard M. Denney United States
Ali Jazayeri United Kingdom
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Citations per field
00.5×1.6×
Curt A. Dvorak · 1×
Citations per year

Countries citing papers authored by Samuel Hintermann

Since Specialization
Citations

This map shows the geographic impact of Samuel Hintermann'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 Samuel Hintermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Hintermann more than expected).

Fields of papers citing papers by Samuel Hintermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Hintermann. 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 Samuel Hintermann. The network helps show where Samuel Hintermann may publish in the future.

Co-authors

The 25 scholars most cited alongside Samuel Hintermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samuel Hintermann Line = papers co-authored together Samuel Hintermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Radiosynthesis and preclinical evaluation of 11C-ABP688 as a probe for imaging the metabotropic glutamate receptor subtype 5.
2006156
2
Human PET studies of metabotropic glutamate receptor subtype 5 with 11C-ABP688.
2007144
3 2001101
4 201392
5 200062
6 200661
7 201750
8 201749
9 201743
10 200640
11 201438
12 199238
13 201336
14 201336
15 201931
16 200629
17 199929
18 201226
19 201622
20 201818

About Samuel Hintermann

Samuel Hintermann is a scholar working on Organic Chemistry, Immunology, Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (5 papers), Sleep and related disorders (5 papers), Nuclear Receptors and Signaling (4 papers), IL-33, ST2, and ILC Pathways (4 papers), Chemical Synthesis and Analysis (4 papers), Psoriasis: Treatment and Pathogenesis (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (383 citations), Endocrine and Autonomic Systems (105 citations), Immunology (216 citations), Organic Chemistry (273 citations) and Cognitive Neuroscience (174 citations). Samuel Hintermann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include F. Gasparini, Yves P. Auberson, Simon M. Ametamey, Alfred Buck, Matthias T. Wyss, Samuel J. Danishefsky, Lawrence J. Williams, Kenneth O. Lloyd, Peter W. Glunz and Valery Kudryashov. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Frontiers in Neuroscience, ChemMedChem, Journal of Medicinal Chemistry and Journal of the American Chemical Society.

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.

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