Sandra Siehler

1.4k citations
29 papers · 1.2k indexed · h-index 20

Sandra Siehler

29 papers receiving 1.2k citations

Peers

Sandra Siehler
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 306
  • Molecular Biology 833
  • Endocrine and Autonomic Systems 70
  • Endocrinology, Diabetes and Metabolism 170
  • Epidemiology 298
Replace Caroline Nunn with:
Caroline Nunn Switzerland
Marguerite Lucas France
Maria Adams United Kingdom
Takatoshi Soga Japan
Alexander J. Lakhter United States
Xi‐Qin Ding United States
Maribel P. Lim United States
Zhennan Lai United States
Subhas C. Biswas India
Erkang Fei China
Sandra Siehler relative to Caroline Nunn Switzerland Caroline Nunn's profile →
Citations per field
00.5×2.9×
Caroline Nunn · 1×
Citations per year

Countries citing papers authored by Sandra Siehler

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Siehler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20164
2 201259
3 200845
4 200830
5 200766
6 200717
7 20057
8 200156
9 20015
10 200162
11 200075
12 200034
13 199955
14 199959
15 199938
16 199932
17 199937
18 199936
19 199844
20
[I-125][Tyr(3)]octreotide labels human somatostatin sst(2) and sst(5) receptors
19982

About Sandra Siehler

Sandra Siehler is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Epidemiology, Physiology and Virology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (17 papers), Neuroendocrine Tumor Research Advances (12 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Neuropeptides and Animal Physiology (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (306 citations), Molecular Biology (833 citations), Endocrine and Autonomic Systems (70 citations), Endocrinology, Diabetes and Metabolism (170 citations) and Epidemiology (298 citations). Sandra Siehler has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Daniël Hoyer, Klaus Seuwen, Dominik Feuerbach, Heinz Nau, Martin Göttlicher, Caroline Nunn, Daniel Langenegger, Dominique Fehlmann, Jason Hannon and Günther K. H. Zupanc. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Molecular Pharmacology, European Journal of Pharmacology, Neuropharmacology and Journal of Cellular Biochemistry.

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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