Tonya Fishburn

666 total citations
8 papers, 506 citations indexed

About

Tonya Fishburn is a scholar working on Molecular Biology, Genetics and Orthopedics and Sports Medicine. According to data from OpenAlex, Tonya Fishburn has authored 8 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in Tonya Fishburn's work include Bone Metabolism and Diseases (7 papers), Bone health and osteoporosis research (4 papers) and Genetic Associations and Epidemiology (2 papers). Tonya Fishburn is often cited by papers focused on Bone Metabolism and Diseases (7 papers), Bone health and osteoporosis research (4 papers) and Genetic Associations and Epidemiology (2 papers). Tonya Fishburn collaborates with scholars based in United States and United Kingdom. Tonya Fishburn's co-authors include Michael J. Econs, Tatiana Foroud, Daniel L. Koller, Kenneth E. White, W. Evans, C McKeown, David Fitzpatrick, Siobhan I. Davis, Neil McLellan and J. M. Segura Cabral and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The American Journal of Human Genetics and Journal of Bone and Mineral Research.

In The Last Decade

Tonya Fishburn

8 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tonya Fishburn United States	8	338	249	121	118	103	8	506
Chiara Verdelli Italy	15	284 0.8×	197 0.8×	254 2.1×	25 0.2×	148 1.4×	38	563
Harald Jüeppner United States	9	232 0.7×	80 0.3×	141 1.2×	17 0.1×	130 1.3×	13	386
Anders Kämpe Sweden	14	225 0.7×	250 1.0×	11 0.1×	71 0.6×	93 0.9×	21	407
Udo Schnitzbauer Switzerland	11	187 0.6×	138 0.6×	185 1.5×	11 0.1×	53 0.5×	17	396
Jona Saemundsdottir Iceland	4	504 1.5×	322 1.3×	12 0.1×	383 3.2×	186 1.8×	4	757
Takuo Fujita Japan	11	135 0.4×	49 0.2×	125 1.0×	15 0.1×	170 1.7×	16	351
Changlin Ding United States	9	257 0.8×	249 1.0×	226 1.9×	6 0.1×	61 0.6×	12	453
I. Schläpfer Switzerland	14	298 0.9×	98 0.4×	27 0.2×	26 0.2×	80 0.8×	15	554
Fredrik Stiger Sweden	12	235 0.7×	135 0.5×	11 0.1×	136 1.2×	126 1.2×	13	436
Shino Kondoh Japan	5	262 0.8×	100 0.4×	12 0.1×	133 1.1×	130 1.3×	8	406

Countries citing papers authored by Tonya Fishburn

Since Specialization

Citations

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

Fields of papers citing papers by Tonya Fishburn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tonya Fishburn

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

All Works

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8 of 8 papers shown

Alam, Imranul, Daphne Koller, Tonya Fishburn, et al.. (2006). Identification of a quantitative trait locus on rat chromosome 4 that is strongly linked to femoral neck structure and strength. Bone. 39(1). 93–99. 22 indexed citations

Koller, Daniel L., Richard Snyder, Tonya Fishburn, et al.. (2005). Analysis of variation in expression of autosomal dominant osteopetrosis type 2: Searching for modifier genes. Bone. 37(5). 655–661. 27 indexed citations

White, Kenneth E., J. M. Segura Cabral, Siobhan I. Davis, et al.. (2005). Mutations that Cause Osteoglophonic Dysplasia Define Novel Roles for FGFR1 in Bone Elongation. The American Journal of Human Genetics. 76(2). 361–367. 226 indexed citations

Koller, Daniel L., Imranul Alam, Qiwei Sun, et al.. (2005). Genome screen for bone mineral density phenotypes in Fisher 344 and Lewis rat strains. Mammalian Genome. 16(8). 578–586. 22 indexed citations

Alam, Imranul, Qiwei Sun, Lixiang Liu, et al.. (2005). Whole-Genome Scan for Linkage to Bone Strength and Structure in Inbred Fischer 344 and Lewis Rats. Journal of Bone and Mineral Research. 20(9). 1589–1596. 28 indexed citations

Peacock, Munro, Daniel L. Koller, Tonya Fishburn, et al.. (2005). Sex-Specific and Non-Sex-Specific Quantitative Trait Loci Contribute to Normal Variation in Bone Mineral Density in Men. The Journal of Clinical Endocrinology & Metabolism. 90(5). 3060–3066. 58 indexed citations

Econs, Michael J., Daniel L. Koller, Siu L. Hui, et al.. (2004). Confirmation of Linkage to Chromosome 1q for Peak Vertebral Bone Mineral Density in Premenopausal White Women. The American Journal of Human Genetics. 74(2). 223–228. 46 indexed citations

Waguespack, Steven G., Daniel L. Koller, Kenneth E. White, et al.. (2003). Chloride Channel 7 (ClCN7) Gene Mutations and Autosomal Dominant Osteopetrosis, Type II. Journal of Bone and Mineral Research. 18(8). 1513–1518. 77 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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