E. Nüesch

24 papers receiving 503 citations

Peers

E. Nüesch
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 130
  • Anesthesiology and Pain Medicine 37
  • Pharmacology 42
  • Pharmacology 74
  • Epidemiology 132
Replace L. M. Fuccella with:
L. M. Fuccella Italy
S. Erill Spain
William Y. W. Au United States
Liv Storstein Norway
John F. Mullane United States
Barry R. Walker United States
W S Hillis United Kingdom
George D. Olsen United States
N. Michiels United States
V. Mandelli Italy
E. Nüesch relative to L. M. Fuccella Italy L. M. Fuccella's profile →
Citations per field
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Citations per year

Countries citing papers authored by E. Nüesch

Since Specialization
Citations

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

Fields of papers citing papers by E. Nüesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986126
2 1986102
3
Comparative pharmacokinetic investigations with tritium-labeled ergot alkaloids after oral and intravenous administration man.
197770
4 197760
5 198020
6 198019
7 197719
8 198716
9 199115
10 198615
11 198615
12
Pharmacokinetic study with synthetic salmon calcitonin (Sandoz).
197614
13 198214
14
Cyclosporine A capsules: bioavailability and clinical acceptance study in renal transplant patients.
198812
15
Absolute bioavailability of digoxin in chronic renal failure.
197911
16 198011
17 198410
18 19739
19 19826
20 19805

About E. Nüesch

E. Nüesch is a scholar working on Molecular Biology, Pharmacology, Analytical Chemistry, Surgery and Anesthesiology and Pain Medicine, having authored 25 papers that have together received 579 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (5 papers), Anesthesia and Sedative Agents (3 papers), Anesthesia and Pain Management (2 papers), Epilepsy research and treatment (2 papers), Receptor Mechanisms and Signaling (2 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (130 citations), Anesthesiology and Pain Medicine (37 citations), Pharmacology (42 citations), Pharmacology (74 citations) and Epidemiology (132 citations). E. Nüesch has collaborated with scholars based in Japan, Switzerland and Germany. Frequent co-authors include J. Rosenthaler, Klaus Kutz, B. von Graffenried, T. Beveridge, René Spiegel, L. Kerp, E. del Pozo, Kathrin Schlüter, Rolf Adler and Klaus Abt. Their work appears in journals such as British Journal of Clinical Pharmacology, European Journal of Clinical Pharmacology, Gerontology, Clinical Pharmacology & Therapeutics and Pain.

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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