Stephen T. Reeders

7.4k citations
83 papers · 5.7k indexed · 2 hit papers · h-index 37
Topics
Genetic and Kidney Cyst Diseases (41 papers)Renal and related cancers (28 papers)Genetic Syndromes and Imprinting (17 papers)

In The Last Decade

Stephen T. Reeders

80 papers receiving 5.6k citations

Hit Papers

A highly polymorphic DNA marker linked to adult polycysti...198520261998201219851991100200300400500

Peers

Stephen T. Reeders
Comparison fields: 5 of 141
  • Molecular Biology 2.9k
  • Genetics 2.9k
  • Immunology and Allergy 1.2k
  • Plant Science 849
  • Nephrology 537
Replace Bernhard Zabel with:
Bernhard Zabel Germany
Jordan A. Kreidberg United States
Roger A. Pedersen United States
Thomas Gridley United States
Veronica van Heyningen United Kingdom
Yasuhide Furuta Japan
Michel Goossens France
Daniel H. Cohn United States
Alexander Grinberg United States
Antonio Baldini United States
Stephen T. Reeders relative to Bernhard Zabel Germany Bernhard Zabel's profile →
Citations per field
00.5×1.5×2.2×
Bernhard Zabel · 1×
Citations per year

Countries citing papers authored by Stephen T. Reeders

Since Specialization
Citations

This map shows the geographic impact of Stephen T. Reeders'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 Stephen T. Reeders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen T. Reeders more than expected).

Fields of papers citing papers by Stephen T. Reeders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen T. Reeders. 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 Stephen T. Reeders. The network helps show where Stephen T. Reeders may publish in the future.

Co-authorship network of co-authors of Stephen T. Reeders

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen T. Reeders. A scholar is included among the top collaborators of Stephen T. Reeders 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 Stephen T. Reeders. Stephen T. Reeders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 182
3 20
4 27
5 48
6 13
7 15
8 162
9 362
10 5
11 18
12 22
13 29
14 20
15
Improved telomere detection using a telomere repeat probe (TTAGGG)ngenerated by PCRbreakdown →
517
16 71
17 30
18 74
19 28
20 33

About Stephen T. Reeders

Stephen T. Reeders is a scholar working on Immunology and Allergy, Genetics and Molecular Biology, having authored 83 papers that have together received 5.7k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (41 papers), Renal and related cancers (28 papers) and Genetic Syndromes and Imprinting (17 papers). The work is most often cited by research in Immunology and Allergy (1.2k citations), Genetics (2.9k citations) and Nephrology (537 citations). Stephen T. Reeders has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Karl Tryggvason, Richard A. Wells, Jacob W. IJdo, Antonio Baldini, Billy G. Hudson, Mariko Mariyama, D. J. Weatherall, Toshio Mochizuki, Kay E. Davies and Douglas R. Higgs. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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