G. Siebert

37 papers receiving 467 citations

Peers

G. Siebert
Comparison fields: 5 of 88
  • Neurology 81
  • Pharmacology 40
  • Oncology 111
  • Clinical Biochemistry 24
  • Cellular and Molecular Neuroscience 57
Replace Julius Halaschek-Wiener with:
Julius Halaschek-Wiener Canada
C.P. Lee United States
Masaya Ikegawa Japan
F. Willig Germany
Esther Priel Israel
Eylan Yutuc United Kingdom
Anders Peterson Sweden
Piruz Nahreini United States
Markus Bach Germany
Guadalupe Palencia Mexico
G. Siebert relative to Julius Halaschek-Wiener Canada Julius Halaschek-Wiener's profile →
Citations per field
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Julius Halaschek-Wiener · 1×
Citations per year

Countries citing papers authored by G. Siebert

Since Specialization
Citations

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

Fields of papers citing papers by G. Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200458
2 200848
3 196331
4 200128
5 200522
6 201122
7 200521
8 200121
9 200121
10
[Growth and cell division].
195418
11 200916
12 198116
13 200315
14 196414
15 201013
16 199912
17 197911
18 200410
19 197910
20 20049

About G. Siebert

G. Siebert is a scholar working on Oncology, Molecular Biology, Cellular and Molecular Neuroscience, Clinical Biochemistry and Physiology, having authored 39 papers that have together received 486 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (8 papers), Metabolism and Genetic Disorders (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Mitochondrial Function and Pathology (3 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Neurology (81 citations), Pharmacology (40 citations), Oncology (111 citations), Clinical Biochemistry (24 citations) and Cellular and Molecular Neuroscience (57 citations). G. Siebert has collaborated with scholars based in Australia, Germany and Portugal. Frequent co-authors include Michael S. Roberts, Daniel Y. Hung, George D. Mellick, John F. Thompson, B. Mark Smithers, H. Ritter, Greg T. Sutherland, Peter A. Silburn, Yuri G. Anissimov and Susan M. Pond. Their work appears in journals such as Human Genetics, American Journal of Physiology-Gastrointestinal and Liver Physiology, Naunyn-Schmiedeberg s Archives of Pharmacology, Melanoma Research and Journal of Pharmacology and Experimental Therapeutics.

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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