Lawrence T. Reiter

4.3k citations
71 papers · 2.9k indexed · 1 hit paper · h-index 29

Lawrence T. Reiter

70 papers receiving 2.9k citations

Hit Papers

A Systematic Analysis of Human Disease-Associated Gene Se...6792001202620092017200400600

Peers

Lawrence T. Reiter
Comparison fields: 5 of 135
  • Aging 149
  • Genetics 1.4k
  • Cellular and Molecular Neuroscience 622
  • Molecular Biology 1.6k
  • Cognitive Neuroscience 434
Replace Michael E. Talkowski with:
Michael E. Talkowski United States
Lorraine Potocki United States
Christos G. Gkogkas Canada
Annette Schenck Netherlands
Tilmann Achsel Italy
Peter K. Todd United States
Masumi Hirabayashi Japan
Zhaolan Zhou United States
Ken Y. Chan United States
Paolo Moretti United States
Lawrence T. Reiter relative to Michael E. Talkowski United States Michael E. Talkowski's profile →
Citations per field
00.5×1.5×1.9×
Michael E. Talkowski · 1×
Citations per year

Countries citing papers authored by Lawrence T. Reiter

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence T. Reiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202328
3 202016
4 20209
5 201914
6 20175
7 201723
8 201729
9 201648
10 201616
11 201530
12 2013116
13 201235
14 20108
15 201032
16 200813
17 20084
18 2001111
19 199918
20 199769

About Lawrence T. Reiter

Lawrence T. Reiter is a scholar working on Genetics, Aging and Genetics, having authored 71 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (30 papers), Genomic variations and chromosomal abnormalities (16 papers), Genetic Syndromes and Imprinting (15 papers), Autism Spectrum Disorder Research (12 papers), Congenital heart defects research (10 papers), Epigenetics and DNA Methylation (10 papers), Hereditary Neurological Disorders (9 papers) and Genetic Neurodegenerative Diseases (6 papers). The work is most often cited by research in Aging (149 citations), Genetics (1.4k citations) and Cellular and Molecular Neuroscience (622 citations). Lawrence T. Reiter has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Michael Gribskov, Lorraine Potocki, Ethan Bier, James R. Lupski, T. Murakami, Janine M. LaSalle, Stormy J. Chamberlain, Ethan Bier, Mark S. LeDoux and Thearith Koeuth. Their work appears in journals such as Nature Communications, Nature Genetics and Environmental Science & Technology.

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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