Jane Theilmann

3.7k total citations
38 papers, 2.8k citations indexed

About

Jane Theilmann is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Jane Theilmann has authored 38 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 20 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in Jane Theilmann's work include Genetic Neurodegenerative Diseases (23 papers), Mitochondrial Function and Pathology (12 papers) and Neurological disorders and treatments (10 papers). Jane Theilmann is often cited by papers focused on Genetic Neurodegenerative Diseases (23 papers), Mitochondrial Function and Pathology (12 papers) and Neurological disorders and treatments (10 papers). Jane Theilmann collaborates with scholars based in Canada, United States and Sweden. Jane Theilmann's co-authors include Michael R. Hayden, Susan E. Andrew, Shelin Adam, Jutta Zeisler, Ferdinando Squitieri, Berry Kremer, Håkan Telenius, Y. Paul Goldberg, Marlene J. Huggins and Maurice Bloch and has published in prestigious journals such as New England Journal of Medicine, Nature Genetics and Neurology.

In The Last Decade

Jane Theilmann

38 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Theilmann Canada 21 1.9k 1.8k 978 623 154 38 2.8k
Ji‐Yeon Shin United States 20 783 0.4× 1.1k 0.6× 264 0.3× 79 0.1× 100 0.6× 45 2.3k
Christel Depienne France 33 1.1k 0.6× 1.1k 0.6× 596 0.6× 836 1.3× 75 0.5× 98 3.2k
Tamae Ohye Japan 27 697 0.4× 1.4k 0.8× 463 0.5× 569 0.9× 287 1.9× 71 2.6k
Susan E. Holmes United States 22 1.0k 0.5× 2.1k 1.2× 365 0.4× 387 0.6× 965 6.3× 39 2.6k
Sonia Pagliusi Switzerland 25 1.5k 0.8× 1.1k 0.6× 98 0.1× 101 0.2× 52 0.3× 59 3.0k
Douglas C. Wallace United States 21 209 0.1× 2.7k 1.5× 93 0.1× 681 1.1× 64 0.4× 23 3.4k
Koen Norga Belgium 20 313 0.2× 805 0.5× 87 0.1× 205 0.3× 156 1.0× 48 1.6k
Tara C. Matise United States 27 147 0.1× 1.9k 1.1× 147 0.2× 1.6k 2.6× 215 1.4× 58 3.5k
Carmela M. Castiglione United States 18 306 0.2× 615 0.3× 172 0.2× 528 0.8× 57 0.4× 38 1.5k
Bernhard Suter United States 26 229 0.1× 1.3k 0.7× 85 0.1× 645 1.0× 208 1.4× 79 2.1k

Countries citing papers authored by Jane Theilmann

Since Specialization
Citations

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

Fields of papers citing papers by Jane Theilmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Theilmann

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Theilmann. A scholar is included among the top collaborators of Jane Theilmann 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 Theilmann. Jane Theilmann 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.
Reade, Ron, et al.. (2020). Targeting of cucumber necrosis virus coat protein to the chloroplast stroma attenuates host defense response. Virology. 554. 106–119. 5 indexed citations
6.
Nasir, Jamal, Jane Theilmann, John P. Vaillancourt, et al.. (1997). Interleukin-1α-converting enzyme (ICE) and related cell death genes ICErel-II and ICErel-III map to the same PAC clone at band 11q22.2-22.3. Mammalian Genome. 8(8). 611–613. 8 indexed citations
7.
Nasir, Jamal, Jane Theilmann, Vikramjit Chopra, et al.. (1997). Localization of the cell death genes CPP32 and Mch-2 to human Chromosome 4q. Mammalian Genome. 8(1). 56–59. 12 indexed citations
8.
Andrew, Susan E., Y. Paul Goldberg, Jane Theilmann, Jutta Zeisler, & Michael R. Hayden. (1994). A CCG repeat polymorphism adjacent to the CAG repeat in the Huntington disease gene: implications for diagnostic accuracy and predictive testing. Human Molecular Genetics. 3(1). 65–67. 127 indexed citations
9.
Kremer, Berry, Paul Goldberg, Susan E. Andrew, et al.. (1994). A Worldwide Study of the Huntington's Disease Mutation: The Sensitivity and Specificity of Measuring CAG Repeats. New England Journal of Medicine. 330(20). 1401–1406. 428 indexed citations
10.
Almqvist, E., Susan E. Andrew, Jane Theilmann, et al.. (1994). Geographical distribution of haplotypes in Swedish families with Huntington's disease. Human Genetics. 94(2). 124–8. 8 indexed citations
11.
Rieß, Olaf, Ulrike Thies, Jane Theilmann, et al.. (1994). Precise Mapping of the Brain α2-Adrenergic Receptor Gene within Chromosome 4p16. Genomics. 19(2). 298–302. 9 indexed citations
12.
Goldberg, Y. Paul, Susan E. Andrew, Jane Theilmann, et al.. (1993). Familial predisposition to recurrent mutations causing Huntington's disease: genetic risk to sibs of sporadic cases.. Journal of Medical Genetics. 30(12). 987–990. 32 indexed citations
13.
Bloch, Maurice, Shelin Adam, Anne Fuller, et al.. (1993). Diagnosis of Huntington disease: A model for the stages of psychological response based on experience of a predictive testing program. American Journal of Medical Genetics. 47(3). 368–374. 28 indexed citations
14.
Goldberg, Y. Paul, Berry Kremer, Susan E. Andrew, et al.. (1993). Molecular analysis of new mutations for Huntington's disease: intermediate alleles and sex of origin effects. Nature Genetics. 5(2). 174–179. 184 indexed citations
15.
Rommens, Johanna M., Gordon B. Hutchinson, Susan E. Andrew, et al.. (1993). A transcription map of the region containing the Huntington disease gene. Human Molecular Genetics. 2(7). 901–907. 31 indexed citations
16.
Huggins, Marlene J., Maurice Bloch, Sandi Wiggins, et al.. (1992). Predictive testing for Huntington disease in Canada: Adverse effects and unexpected results in those receiving a decreased risk. American Journal of Medical Genetics. 42(4). 508–515. 180 indexed citations
17.
Goldberg, Y. Paul, Biaoyang Lin, Susan E. Andrew, et al.. (1992). Cloning and mapping of the  -adducin gene close to D4S95 and assessment of its relationship to Huntington disease. Human Molecular Genetics. 1(9). 669–675. 20 indexed citations
18.
Adam, Shelin, Jane Theilmann, Kenneth H. Buetow, et al.. (1991). Linkage disequilibrium and modification of risk for Huntington disease.. PubMed. 48(3). 595–603. 16 indexed citations
19.
Theilmann, Jane, Loren C. Skow, J. F. Baker, & James E. Womack. (1989). Restriction fragment length polymorphisms for growth hormone, prolactin, osteonectin, α crystallin, γ crystallin, fibronectin and 21‐steroid hydroxylase in cattle. Animal Genetics. 20(4). 257–266. 16 indexed citations
20.
Hallerman, Eric M., Jane Theilmann, J. Beckmann, M. Soller, & James E. Womack. (1988). Mapping of bovine prolactin and rhodopsin genes in hybrid somatic cells. Animal Genetics. 19(2). 123–131. 32 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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