J.C. Reubi

7.4k citations
70 papers · 6.0k indexed · h-index 43

Impact in

Papers in

J.C. Reubi

70 papers receiving 5.8k citations

Peers

J.C. Reubi
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 1.7k
  • Neurology 1.4k
  • Epidemiology 2.7k
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Oncology 1.9k
Replace Kate Groot with:
Kate Groot United States
Reiner Fischer‐Colbrie Austria
Mahlon D. Johnson United States
Albert H. Kim United States
Kazunari Yoshida Japan
Madalyn Butcher United States
Olaf Ansorge United Kingdom
Rolf Buslei Germany
Jacques Brotchi Belgium
Gordon Li United States
J.C. Reubi relative to Kate Groot United States Kate Groot's profile →
Citations per field
00.5×4.0×
Kate Groot · 1×
Citations per year

Countries citing papers authored by J.C. Reubi

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Reubi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C. Reubi. 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 J.C. Reubi. The network helps show where J.C. Reubi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside J.C. Reubi, 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 J.C. Reubi Line = papers co-authored together J.C. Reubi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20121
2 2010151
3 2007380
4 2003168
5 199917
6 1994118
7 1994115
8 199371
9 199325
10 19937
11 199254
12 1992188
13 1991141
14 199086
15 1990405
16 199018
17 198935
18 198829
19 1987155
20 197836

About J.C. Reubi

J.C. Reubi is a scholar working on Cellular and Molecular Neuroscience, Epidemiology, Neurology, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (37 papers), Neuroscience and Neuropharmacology Research (15 papers), Neuroblastoma Research and Treatments (15 papers), Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (11 papers), Lung Cancer Research Studies (8 papers), Radiopharmaceutical Chemistry and Applications (7 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Neurology (1.4k citations), Epidemiology (2.7k citations), Endocrinology, Diabetes and Metabolism (1.2k citations) and Oncology (1.9k citations). J.C. Reubi has collaborated with scholars based in Switzerland, Netherlands and Japan. Frequent co-authors include E. P. Krenning, Regula Markwalder, Steven W. J. Lamberts, S.W.J. Lamberts, Michel Cuénod, R. Maurer, P. Streit, W. Halsey Barker, Beatrice Waser and Mira Korner. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Brain Research, The Journal of Steroid Biochemistry and Molecular Biology, Neuroscience and European Journal of Nuclear Medicine and Molecular Imaging.

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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