S. Gerken

444 total citations
10 papers, 348 citations indexed

About

S. Gerken is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, S. Gerken has authored 10 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in S. Gerken's work include Genomic variations and chromosomal abnormalities (4 papers), RNA modifications and cancer (2 papers) and DNA Repair Mechanisms (2 papers). S. Gerken is often cited by papers focused on Genomic variations and chromosomal abnormalities (4 papers), RNA modifications and cancer (2 papers) and DNA Repair Mechanisms (2 papers). S. Gerken collaborates with scholars based in United States, Poland and Switzerland. S. Gerken's co-authors include Stuart M. Arfin, Jeffrey D. McDonald, Dan Fults, Rebecca White, Norisada Matsunami, Joan Overhauser, John A.L. Armour, Stylianos E. Antonarakis, Aravinda Chakravarti and C. Conover Talbot and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Human Molecular Genetics.

In The Last Decade

S. Gerken

10 papers receiving 336 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Gerken United States 10 233 108 72 62 39 10 348
Le Beau United States 9 279 1.2× 66 0.6× 44 0.6× 43 0.7× 43 1.1× 14 506
Anthony Raizis New Zealand 9 434 1.9× 136 1.3× 50 0.7× 53 0.9× 22 0.6× 18 550
Kelly Milton United States 6 403 1.7× 167 1.5× 93 1.3× 125 2.0× 47 1.2× 11 537
Enrica Privitera Italy 13 232 1.0× 94 0.9× 17 0.2× 44 0.7× 54 1.4× 26 534
Sandra Weitz Germany 10 290 1.2× 72 0.7× 104 1.4× 72 1.2× 133 3.4× 14 462
K. Okui Japan 13 318 1.4× 119 1.1× 65 0.9× 87 1.4× 12 0.3× 18 447
Judith Dagan Israel 12 231 1.0× 223 2.1× 24 0.3× 85 1.4× 29 0.7× 27 457
Becky Alhadeff United States 13 374 1.6× 183 1.7× 24 0.3× 96 1.5× 25 0.6× 17 538
Jane A. Wakeman United Kingdom 14 410 1.8× 68 0.6× 26 0.4× 72 1.2× 20 0.5× 25 526
Rodger W. Palmer United Kingdom 8 324 1.4× 250 2.3× 20 0.3× 45 0.7× 19 0.5× 8 465

Countries citing papers authored by S. Gerken

Since Specialization
Citations

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

Fields of papers citing papers by S. Gerken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Gerken

This figure shows the co-authorship network connecting the top 25 collaborators of S. Gerken. A scholar is included among the top collaborators of S. Gerken based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Gerken. S. Gerken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Silverman, Gary A., et al.. (1996). Report of the Fourth International Workshop on Human Chromosome 18 Mapping 1996. Cytogenetic and Genome Research. 75(2-3). 111–131. 9 indexed citations
2.
McDonald, Jeffrey D., et al.. (1996). Correlation of chromosome 17p loss with clinical outcome in medulloblastoma.. PubMed. 2(9). 1559–64. 47 indexed citations
3.
Talbot, C. Conover, S. Gerken, Aravinda Chakravarti, et al.. (1995). The tetranucleotide repeat polymorphism D21S1245 demonstrates hypermutability in germline and somatic cells. Human Molecular Genetics. 4(7). 1193–1199. 58 indexed citations
4.
Lange, Ethan M., A L Børresen, L. Chessa, et al.. (1995). Localization of an ataxia-telangiectasia gene to an approximately 500-kb interval on chromosome 11q23.1: linkage analysis of 176 families by an international consortium.. PubMed. 57(1). 112–9. 63 indexed citations
5.
Gerken, S., Hans Albertsen, Tami Elsner, et al.. (1995). A strategy for constructing high-resolution genetic maps of the human genome: a genetic map of chromosome 17p, ordered with meiotic breakpoint-mapping panels.. PubMed. 56(2). 484–99. 29 indexed citations
6.
Elsner, Tami, et al.. (1995). Breakpoint analysis: precise localization of genetic markers by means of nonstatistical computation using relatively few genotypes.. PubMed. 56(2). 500–7. 9 indexed citations
7.
Gerken, S., et al.. (1994). Report and abstracts of the second international workshop on human chromosome 18 mapping. Doorwerth, the Netherlands, July 19-20, 1993.. PubMed. 65(3). 142–65. 26 indexed citations
8.
Rose, John, et al.. (1993). Genetic susceptibility in familial multiple sclerosis not linked to the myelin basic protein gene. The Lancet. 341(8854). 1179–1181. 57 indexed citations
9.
Gerken, S. & Stuart M. Arfin. (1984). Chinese hamster ovary cells resistant to borrelidin overproduce threonyl-tRNA synthetase.. Journal of Biological Chemistry. 259(14). 9202–9206. 23 indexed citations
10.
Gerken, S. & Stuart M. Arfin. (1984). Threonyl-tRNA synthetase from Chinese hamster ovary cells is phosphorylated on serine.. Journal of Biological Chemistry. 259(18). 11160–11161. 27 indexed citations

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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