Peter E.M. Taschner

10.0k citations
78 papers · 6.6k indexed · 3 hit papers · h-index 36

Impact in

Papers in

Peter E.M. Taschner

77 papers receiving 6.5k citations

Hit Papers

HGVS Recommendations for the Description of Sequence Variants: 2016 Update 2016 · 1.0k citations
1.0k20002026200820174008001.2k

Peers

Peter E.M. Taschner
Comparison fields: 5 of 138
  • Cancer Research 1.9k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Genetics 1.6k
  • Molecular Biology 3.2k
  • Physiology 1.0k
Replace Alberto Gulino with:
Alberto Gulino Italy
Michael I. Lerman United States
Karen C. Arden United States
Roberto D. Polakiewicz United States
Abdel Elkahloun United States
Kenta Hara Japan
Michael Jaye United States
Richard Leduc Canada
Kathleen Kelly United States
Thorsten Heinzel Germany
Peter E.M. Taschner relative to Alberto Gulino Italy Alberto Gulino's profile →
Citations per field
00.5×1.5×2.5×
Alberto Gulino · 1×
Citations per year

Countries citing papers authored by Peter E.M. Taschner

Since Specialization
Citations

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

Fields of papers citing papers by Peter E.M. Taschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter E.M. Taschner. 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 Peter E.M. Taschner. The network helps show where Peter E.M. Taschner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202150
2 201554
3 20148
4 201213
5
LOVD v.2.0: the next generation in gene variant databases
Hit paper breakdown →
2011694
6 201147
7 201120
8 200963
9 200835
10 200533
11 20046
12 200317
13 20016
14 1999170
15 1997125
16 199653
17 199542
18 19954
19 19931
20 199186

About Peter E.M. Taschner

Peter E.M. Taschner is a scholar working on Aging, Cancer Research, Genetics, Physiology and Physiology, having authored 78 papers that have together received 6.6k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (25 papers), Genomics and Rare Diseases (14 papers), Adrenal and Paraganglionic Tumors (13 papers), Genomics and Phylogenetic Studies (11 papers), Cancer, Hypoxia, and Metabolism (11 papers), Genomic variations and chromosomal abnormalities (9 papers), Trypanosoma species research and implications (8 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Cancer Research (1.9k citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (1.6k citations), Molecular Biology (3.2k citations) and Physiology (1.0k citations). Peter E.M. Taschner has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Johan T. den Dunnen, Peter Devilee, Ivo F.A.C. Fokkema, Bora E. Baysal, Jeroen F. J. Laros, Cees J. Cornelisse, Jacopo Celli, Raymond Dalgleish, Gerard C. P. Schaafsma and Wendy S. Rubinstein. Their work appears in journals such as Human Mutation, Genomics, Journal of Bacteriology, Prenatal Diagnosis and Virology.

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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