Tena Varvil

802 total citations
10 papers, 586 citations indexed

About

Tena Varvil is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Tena Varvil has authored 10 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Genetics. Recurrent topics in Tena Varvil's work include Genetics and Neurodevelopmental Disorders (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Autism Spectrum Disorder Research (2 papers). Tena Varvil is often cited by papers focused on Genetics and Neurodevelopmental Disorders (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Autism Spectrum Disorder Research (2 papers). Tena Varvil collaborates with scholars based in United States, Belgium and Poland. Tena Varvil's co-authors include Brith Otterud, Mark Leppert, M. Leppert, Scott Jones, John K. Fink, Mark Leppert, Chris Pappas, Joel A. Thompson, Andy Peiffer and Kristen M. Gruenthal and has published in prestigious journals such as The Lancet, Blood and PLoS ONE.

In The Last Decade

Tena Varvil

10 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tena Varvil United States	9	217	198	174	150	89	10	586
Laurence E. Walsh United States	11	114 0.5×	214 1.1×	191 1.1×	46 0.3×	21 0.2×	32	598
Joy B. Redman United States	17	119 0.5×	301 1.5×	203 1.2×	25 0.2×	91 1.0×	27	781
Amal Y. Kentab Saudi Arabia	13	53 0.2×	443 2.2×	196 1.1×	76 0.5×	30 0.3×	44	780
S. Ghariani Belgium	12	70 0.3×	176 0.9×	234 1.3×	141 0.9×	23 0.3×	27	600
Marion Gérard France	14	63 0.3×	436 2.2×	386 2.2×	46 0.3×	50 0.6×	29	837
Nina Barišić Croatia	17	261 1.2×	396 2.0×	106 0.6×	107 0.7×	184 2.1×	61	860
Jeroen Vreijling Netherlands	12	85 0.4×	527 2.7×	107 0.6×	53 0.4×	37 0.4×	19	844
Eugènia Monrós Spain	11	328 1.5×	473 2.4×	184 1.1×	27 0.2×	11 0.1×	22	725
Patrizia Lulli Italy	14	122 0.6×	198 1.0×	102 0.6×	113 0.8×	8 0.1×	31	608
Flavia Palombo Italy	10	51 0.2×	226 1.1×	155 0.9×	30 0.2×	18 0.2×	27	416

Countries citing papers authored by Tena Varvil

Since Specialization

Citations

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

Fields of papers citing papers by Tena Varvil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tena Varvil

This figure shows the co-authorship network connecting the top 25 collaborators of Tena Varvil. A scholar is included among the top collaborators of Tena Varvil 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 Tena Varvil. Tena Varvil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Matsunami, Nori, Dexter Hadley, Charles H. Hensel, et al.. (2013). Identification of Rare Recurrent Copy Number Variants in High-Risk Autism Families and Their Prevalence in a Large ASD Population. PLoS ONE. 8(1). e52239–e52239. 50 indexed citations

2.

Allen‐Brady, Kristina, Reid Robison, Dale S. Cannon, et al.. (2009). Genome-wide linkage in Utah autism pedigrees. Molecular Psychiatry. 15(10). 1006–1015. 37 indexed citations

3.

Hasstedt, Sandra J., et al.. (2001). Genetic Screening of Candidate Genes for a Prothrombotic Interaction with Type I Protein C Deficiency in a Large Kindred. Thrombosis and Haemostasis. 85(1). 82–87. 17 indexed citations

4.

Danziger, Robert S., et al.. (2000). Evaluation of heterodimeric guanylyl cyclase genes as candidates for human hypertension. Journal of Hypertension. 18(3). 263–266. 2 indexed citations

5.

Peiffer, Andy, Joel A. Thompson, Carole Charlier, et al.. (1999). A locus for febrile seizures (FEB3) maps to chromosome 2q23-24. Annals of Neurology. 46(4). 671–678. 131 indexed citations

6.

Ho, Carolyn Y., Brith Otterud, Tena Varvil, et al.. (1996). Linkage of a familial platelet disorder with a propensity to develop myeloid malignancies to human chromosome 21q22.1-22.2. Blood. 87(12). 5218–5224. 88 indexed citations

7.

Fink, John K., Shirley Rainier, Jodi Wilkowski, et al.. (1996). Paroxysmal dystonic choreoathetosis: tight linkage to chromosome 2q.. PubMed. 59(1). 140–5. 83 indexed citations

8.

Fink, John K., Chao-ting Wu, Scott Jones, et al.. (1995). Autosomal dominant familial spastic paraplegia: tight linkage to chromosome 15q.. PubMed. 56(1). 188–92. 102 indexed citations

9.

Su, Yan, Charles Klanke, Stephen C. Linn, et al.. (1994). Molecular Cloning and Physical and Genetic Mapping of the Human Anion Exchanger Isoform 3 (SLC2C) Gene to Chromosome 2q36. Genomics. 22(3). 605–609. 19 indexed citations

10.

Rose, John, et al.. (1993). Genetic susceptibility in familial multiple sclerosis not linked to the myelin basic protein gene. The Lancet. 341(8854). 1179–1181. 57 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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