Tanya M. Simms

433 total citations
12 papers, 212 citations indexed

About

Tanya M. Simms is a scholar working on Genetics, Archeology and Molecular Biology. According to data from OpenAlex, Tanya M. Simms has authored 12 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 4 papers in Archeology and 2 papers in Molecular Biology. Recurrent topics in Tanya M. Simms's work include Forensic and Genetic Research (11 papers), Genetic diversity and population structure (5 papers) and Forensic Anthropology and Bioarchaeology Studies (4 papers). Tanya M. Simms is often cited by papers focused on Forensic and Genetic Research (11 papers), Genetic diversity and population structure (5 papers) and Forensic Anthropology and Bioarchaeology Studies (4 papers). Tanya M. Simms collaborates with scholars based in United States, Bahamas and United Kingdom. Tanya M. Simms's co-authors include René J. Herrera, Shilpa Chennakrishnaiah, Tenzin Gayden, Alicia M. Cadenas, Sheyla Mirabal, Diana Morlote, Emanuel Ricardo Monteiro Martinez, Ralph Garcia‐Bertrand, María Regueiro and Kristina Rodriguez and has published in prestigious journals such as Journal of Clinical Oncology, Gene and American Journal of Physical Anthropology.

In The Last Decade

Tanya M. Simms

12 papers receiving 204 citations

Peers

Tanya M. Simms

GENET

ARCHE

ONCOL

SPS

Pu Li China

Rosenda I. Peñaloza‐Espinosa Mexico

Jiujin Xu China

Óscar Acosta Peru

Andrey Pshenichnov Russia

Yarin Hadid Israel

Kristina Tabbada Philippines

Sheyla Mirabal United States

Alessandro Raveane Italy

Pu Li China

Tanya M. Simms

258 ×1.7

GENET

86 ×1.9

59 ×2.2

ARCHE

18 ×0.8

ONCOL

14 ×0.7

SPS

Citations per year, relative to Tanya M. Simms Tanya M. Simms (= 1×) peers Pu Li

Countries citing papers authored by Tanya M. Simms

Since Specialization

Citations

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

Fields of papers citing papers by Tanya M. Simms

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanya M. Simms

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

All Works

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12 of 12 papers shown

Vilar, Miguel G., et al.. (2022). A population history of indigenousBahamianislanders: Insights from ancientDNA. American Journal of Biological Anthropology. 177(4). 630–643. 4 indexed citations

Garcia‐Bertrand, Ralph, Tanya M. Simms, Alicia M. Cadenas, & René J. Herrera. (2013). United Arab Emirates: Phylogenetic relationships and ancestral populations. Gene. 533(1). 411–419. 16 indexed citations

Gayden, Tenzin, et al.. (2013). The Himalayas: Barrier and conduit for gene flow. American Journal of Physical Anthropology. 151(2). 169–182. 24 indexed citations

Simms, Tanya M., et al.. (2012). Y-STR diversity and sex-biased gene flow among Caribbean populations. Gene. 516(1). 82–92. 10 indexed citations

Simms, Tanya M., et al.. (2012). Y‐chromosomal diversity in Haiti and Jamaica: Contrasting levels of sex‐biased gene flow. American Journal of Physical Anthropology. 148(4). 618–631. 11 indexed citations

Simms, Tanya M., et al.. (2011). Divergent genetic strata in five Bahamian islands. Forensic Science International Genetics. 6(1). 81–90. 4 indexed citations

Simms, Tanya M., et al.. (2011). Paternal lineages signal distinct genetic contributions from British Loyalists and continental Africans among different Bahamian islands. American Journal of Physical Anthropology. 146(4). 594–608. 14 indexed citations

Regueiro, María, Aleksandar Stanojević, Shilpa Chennakrishnaiah, et al.. (2010). Divergent patrilineal signals in three Roma populations. American Journal of Physical Anthropology. 144(1). 80–91. 12 indexed citations

Gayden, Tenzin, Sheyla Mirabal, Alicia M. Cadenas, et al.. (2009). Genetic insights into the origins of Tibeto-Burman populations in the Himalayas. Journal of Human Genetics. 54(4). 216–223. 50 indexed citations

10.

Simms, Tanya M., et al.. (2009). The genetic structure of populations from Haiti and Jamaica reflect divergent demographic histories. American Journal of Physical Anthropology. 142(1). 49–66. 26 indexed citations

11.

Simms, Tanya M., et al.. (2008). The genetic legacy of the Transatlantic Slave Trade in the island of New Providence. Forensic Science International Genetics. 2(4). 310–317. 11 indexed citations

12.

Woll, Penella J., Nicholas Thatcher, Jackie Hodgetts, et al.. (2001). Use of Hematopoietic Progenitors in Whole Blood to Support Dose-Dense Chemotherapy: A Randomized Phase II Trial in Small-Cell Lung Cancer Patients. Journal of Clinical Oncology. 19(3). 712–719. 30 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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