J Ott

5.7k citations
8 papers · 4.5k indexed · 3 hit papers · h-index 7

J Ott

8 papers receiving 4.2k citations

Hit Papers

Analysis of Human Genetic Linkage.1.3k197420261991200850010001.5k2.0k

Peers

J Ott
Comparison fields: 5 of 138
  • Genetics 2.2k
  • Molecular Biology 2.1k
  • Cellular and Molecular Neuroscience 440
  • Genetics 231
  • Neurology 149
Replace Colette Dib with:
Colette Dib France
Jean Morissette Canada
J.-M. Lalouel United States
Mark Lathrop France
Robert W. Cottingham United States
Nathalie Drouot France
Sabine Fauré France
Vera M. Kalscheuer Germany
David Kulp United States
Rivka Carmi Israel
J Ott relative to Colette Dib France Colette Dib's profile →
Citations per field
00.5×1.5×
Colette Dib · 1×
Citations per year

Countries citing papers authored by J Ott

Since Specialization
Citations

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

Fields of papers citing papers by J Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside J Ott, 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 J Ott Line = papers co-authored together J Ott links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20071
2
A likelihood approach to calculating risk support intervals.
19946
3 199213
4 199220
5
Analysis of Human Genetic Linkage.breakdown →
19921262
6
Strategies for multilocus linkage analysis in humans.breakdown →
19842227
7 198029
8
Estimation of the recombination fraction in human pedigrees: efficient computation of the likelihood for human linkage studies.breakdown →
1974896

About J Ott

J Ott is a scholar working on Clinical Biochemistry, Statistics and Probability, Genetics, Genetics and Hematology, having authored 8 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (2 papers), Nutrition, Genetics, and Disease (1 paper), Mitochondrial Function and Pathology (1 paper), Nuclear reactor physics and engineering (1 paper), Muscle Physiology and Disorders (1 paper), Chromosomal and Genetic Variations (1 paper), Metabolism and Genetic Disorders (1 paper) and Medical Imaging and Analysis (1 paper). The work is most often cited by research in Genetics (2.2k citations), Molecular Biology (2.1k citations), Cellular and Molecular Neuroscience (440 citations), Genetics (231 citations) and Neurology (149 citations). J Ott has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include A. W. F. Edwards, Cécile Julier, J.-M. Lalouel, G.M. Lathrop, Joseph D. Terwilliger, Earl J. Brewer, R. Mark Sharp, J. W. Templeton, Roger D. Rossen and Daniel E. Weeks. Their work appears in journals such as Cytogenetic and Genome Research, Biometrics, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences and PubMed.

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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