Jane M. Olson

5.8k total citations · 1 hit paper
80 papers, 4.3k citations indexed

About

Jane M. Olson is a scholar working on Genetics, Molecular Biology and Rheumatology. According to data from OpenAlex, Jane M. Olson has authored 80 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Genetics, 22 papers in Molecular Biology and 12 papers in Rheumatology. Recurrent topics in Jane M. Olson's work include Genetic Associations and Epidemiology (34 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Genetic and phenotypic traits in livestock (7 papers). Jane M. Olson is often cited by papers focused on Genetic Associations and Epidemiology (34 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Genetic and phenotypic traits in livestock (7 papers). Jane M. Olson collaborates with scholars based in United States, France and United Kingdom. Jane M. Olson's co-authors include Kenneth F. Manly, Robert C. Elston, Kevin B. Jacobs, Katrina A.B. Goddard, Joel W. Ager, Sarah G. Buxbaum, Marilyn L. Poland, Gerard Tromp, Helena Kuivaniemi and Ellen M. Wijsman and has published in prestigious journals such as Nature, Circulation and Nature Genetics.

In The Last Decade

Jane M. Olson

80 papers receiving 4.1k citations

Hit Papers

Mapping of a susceptibility locus for Crohn's disease on ... 1996 2026 2006 2016 1996 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane M. Olson United States 34 2.0k 911 646 629 480 80 4.3k
Jean-Marc Lalouel United States 41 2.2k 1.1× 2.1k 2.3× 535 0.8× 1.1k 1.8× 228 0.5× 111 7.2k
Nicola J. Camp United States 33 1.3k 0.6× 1.1k 1.2× 513 0.8× 320 0.5× 254 0.5× 139 3.8k
Gerard J. te Meerman Netherlands 34 923 0.5× 1.6k 1.7× 564 0.9× 617 1.0× 301 0.6× 103 4.0k
Matthew DeFelice United States 5 2.4k 1.2× 2.0k 2.2× 491 0.8× 314 0.5× 219 0.5× 7 5.1k
Bryan Howie United States 15 4.5k 2.2× 2.6k 2.8× 925 1.4× 424 0.7× 316 0.7× 17 7.6k
Yoichiro Kamatani Japan 40 2.8k 1.4× 2.0k 2.2× 678 1.0× 447 0.7× 330 0.7× 118 6.4k
Brendan Blumenstiel United States 8 2.4k 1.2× 2.1k 2.3× 505 0.8× 315 0.5× 219 0.5× 12 5.4k
Ilja M. Nolte Netherlands 39 1.3k 0.6× 971 1.1× 953 1.5× 625 1.0× 234 0.5× 185 4.9k
Candace M. Kammerer United States 35 1.0k 0.5× 1.2k 1.3× 329 0.5× 457 0.7× 226 0.5× 136 4.0k
Jeanine J. Houwing‐Duistermaat Netherlands 48 1.2k 0.6× 2.1k 2.3× 988 1.5× 481 0.8× 1.2k 2.6× 231 6.9k

Countries citing papers authored by Jane M. Olson

Since Specialization
Citations

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

Fields of papers citing papers by Jane M. Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane M. Olson. 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 Jane M. Olson. The network helps show where Jane M. Olson may publish in the future.

Co-authorship network of co-authors of Jane M. Olson

This figure shows the co-authorship network connecting the top 25 collaborators of Jane M. Olson. A scholar is included among the top collaborators of Jane M. Olson 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 Jane M. Olson. Jane M. Olson 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
1.
Olson, Jane M.. (2007). How Does ACOTE Help Educators Support the AOTA Vision. Occupational Therapy In Health Care. 21(1-2). 301–303. 1 indexed citations
2.
Fortéa, José Osorio y, Hülya Bükülmez, Élisabeth Petit, et al.. (2004). Dense genome‐wide linkage analysis of rheumatoid arthritis, including covariates. Arthritis & Rheumatism. 50(9). 2757–2765. 67 indexed citations
4.
Voet, Monique van der, Jane M. Olson, Helena Kuivaniemi, et al.. (2004). Intracranial Aneurysms in Finnish Families: Confirmation of Linkage and Refinement of the Interval to Chromosome 19q13.3. The American Journal of Human Genetics. 74(3). 564–571. 78 indexed citations
5.
Elston, Robert C., Jane M. Olson, & Lyle J. Palmer. (2002). Biostatistical genetics and genetic epidemiology. John Wiley & Sons eBooks. 57 indexed citations
6.
Guo, Xiuqing, Jane M. Olson, Robert C. Elston, & Tianhua Niu. (2002). The Linkage Information Content Value of Polymorphism Genetic Markers in Model-Free Linkage Analysis. Human Heredity. 53(1). 45–48. 7 indexed citations
7.
Olson, Jane M., Sompong Vongpunsawad, Helena Kuivaniemi, et al.. (2002). Search for intracranial aneurysm susceptibility gene(s) using Finnish families. BMC Medical Genetics. 3(1). 7–7. 74 indexed citations
8.
Iyengar, Sudha K., et al.. (2001). A family-based strategy to identify genes for diabetic nephropathy. American Journal of Kidney Diseases. 37(3). 638–647. 11 indexed citations
9.
Olson, Jane M., et al.. (2001). The Amyloid Precursor Protein Locus and Very-Late-Onset Alzheimer Disease. The American Journal of Human Genetics. 69(4). 895–899. 44 indexed citations
10.
Palmer, Lyle J., et al.. (2000). Ascertainment Adjustment: Where Does It Take Us?. The American Journal of Human Genetics. 67(6). 1505–1514. 39 indexed citations
11.
Olson, Jane M. & Heather J. Cordell. (2000). Ascertainment bias in the estimation of sibling genetic risk parameters. Genetic Epidemiology. 18(3). 217–235. 43 indexed citations
12.
Cordell, Heather J. & Jane M. Olson. (2000). Correcting for ascertainment bias of relative-risk estimates obtained using affected-sib-pair linkage data. Genetic Epidemiology. 18(4). 307–321. 10 indexed citations
13.
Olson, Jane M.. (1999). Relationship Estimation by Markov-Process Models in a Sib-Pair Linkage Study. The American Journal of Human Genetics. 64(5). 1464–1472. 41 indexed citations
14.
Olson, Jane M.. (1999). A General Conditional-Logistic Model for Affected-Relative-Pair Linkage Studies. The American Journal of Human Genetics. 65(6). 1760–1769. 113 indexed citations
15.
Cordell, Heather J. & Jane M. Olson. (1997). Confidence intervals for relative risk estimates from affected-sib-pair data. Genetic Epidemiology. 14(6). 593–598. 5 indexed citations
16.
Olson, Jane M., John S. Witte, & Robert C. Elston. (1996). Association within twin pairs for a dichotomous trait. Genetic Epidemiology. 13(5). 489–499. 15 indexed citations
17.
Hugot, Jean‐Pierre, Pierre Laurent‐Puig, Corinne Gower‐Rousseau, et al.. (1996). Mapping of a susceptibility locus for Crohn's disease on chromosome 16. Nature. 379(6568). 821–823. 727 indexed citations breakdown →
18.
Olson, Jane M., et al.. (1993). Cancer in twins of Wilms tumor patients. American Journal of Medical Genetics. 47(1). 91–94. 8 indexed citations
19.
Giblin, Paul T., et al.. (1988). Effects of stress and characteristic adaptability on semen quality in healthy men. Fertility and Sterility. 49(1). 127–132. 74 indexed citations
20.
Moghissi, Kamran S., et al.. (1986). Correlation of serum estradiol levels and ultrasound monitoring to assess follicular maturation. Fertility and Sterility. 46(1). 42–45. 18 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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