Robert Snoek

905 citations
12 papers · 759 · h-index 10

Impact in

    • Hormonal and reproductive studies
  • Genetics top 5%
    • Estrogen and related hormone effects
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Virus-based gene therapy research

Papers in

Robert Snoek

12 papers receiving 736 citations

Peers

Robert Snoek
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 227
  • Genetics 345
  • Pulmonary and Respiratory Medicine 383
  • Molecular Biology 438
  • Cancer Research 72
Replace James L. Prescott with:
James L. Prescott United States
W. Rombauts Belgium
Susan Ha United States
Andréa Fournier Canada
Sónia Moniz Portugal
Kazutoshi Yamana Japan
Antonietta de Falco Italy
Yi‐Rong Li Taiwan
Heidi N. Hilton Australia
G. Sica Italy
Robert Snoek relative to James L. Prescott United States James L. Prescott's profile →
Citations per field
00.5×1.5×2.3×
James L. Prescott · 1×
Citations per year

Countries citing papers authored by Robert Snoek

Since Specialization
Citations

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

Fields of papers citing papers by Robert Snoek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1993272
2 1994123
3 2008109
4 199946
5 200546
6 199842
7 201040
8 199637
9 198921
10 198917
11 19875
12 19981

About Robert Snoek

Robert Snoek is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Spectroscopy, having authored 12 papers that have together received 759 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Hormonal and reproductive studies (4 papers), Estrogen and related hormone effects (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Blood groups and transfusion (1 paper), Protein purification and stability (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (227 citations), Genetics (345 citations), Pulmonary and Respiratory Medicine (383 citations), Molecular Biology (438 citations) and Cancer Research (72 citations). Robert Snoek has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Paul S. Rennie, Nicholas Bruchovsky, Robert J. Matusik, Helen Cheng, Patricia Sheppard, Siegfried Kasper, Martin Gleave, Ladan Fazli, Latif A. Wafa and Shutsung Liao. Their work appears in journals such as The Prostate, Molecular Endocrinology, Clinical Cancer Research, Journal of Molecular Endocrinology and Journal of Biological Chemistry.

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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