G. Siebert

37 papers receiving 466 citations

Peers

G. Siebert
Comparison fields: 5 of 92
  • Neurology 91
  • Pharmacology 45
  • Oncology 129
  • Cellular and Molecular Neuroscience 66
  • Clinical Biochemistry 24
Replace Jeffrey L. Staecker with:
Jeffrey L. Staecker United States
Julius Halaschek-Wiener Canada
Masaya Ikegawa Japan
Zhaoyu Qin China
Guadalupe Palencia Mexico
C.P. Lee United States
C. Reimertz Germany
V. Suntzeff United States
Daniel Sevlever United States
Anders Peterson Sweden
G. Siebert relative to Jeffrey L. Staecker United States Jeffrey L. Staecker's profile →
Citations per field
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Jeffrey L. Staecker · 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 200127
5 200522
6 201122
7 200121
8 200521
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 20009

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 485 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), Drug-Induced Hepatotoxicity and Protection (3 papers), Neuroscience and Neuropharmacology Research (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 (91 citations), Pharmacology (45 citations), Oncology (129 citations), Cellular and Molecular Neuroscience (66 citations) and Clinical Biochemistry (24 citations). G. Siebert has collaborated with scholars based in Australia, Germany and Canada. Frequent co-authors include Michael S. Roberts, Daniel Y. Hung, George D. Mellick, John F. Thompson, H. Ritter, B. Mark Smithers, 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, Journal of Pharmacology and Experimental Therapeutics, Naunyn-Schmiedeberg s Archives of Pharmacology and Melanoma Research.

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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