Jenna Smith‐Turchyn

82 total papers · 457 total citations
47 papers, 259 citations indexed

About

Jenna Smith‐Turchyn is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Physiology. According to data from OpenAlex, Jenna Smith‐Turchyn has authored 47 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 18 papers in Pediatrics, Perinatology and Child Health and 10 papers in Physiology. Recurrent topics in Jenna Smith‐Turchyn's work include Cancer survivorship and care (27 papers), Childhood Cancer Survivors' Quality of Life (18 papers) and Lymphatic System and Diseases (10 papers). Jenna Smith‐Turchyn is often cited by papers focused on Cancer survivorship and care (27 papers), Childhood Cancer Survivors' Quality of Life (18 papers) and Lymphatic System and Diseases (10 papers). Jenna Smith‐Turchyn collaborates with scholars based in Canada, United States and Australia. Jenna Smith‐Turchyn's co-authors include Julie Richardson, Lehana Thabane, Margaret L. McNeely, Richard Tozer, Catherine M. Sabiston, Ashley Morgan, Sarah Neil‐Sztramko, Angela J. Fong, Scott C. Adams and Jennifer R. Tomasone and has published in prestigious journals such as PLoS ONE, Thorax and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Jenna Smith‐Turchyn

35 papers receiving 256 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jenna Smith‐Turchyn	168	110	35	33	32	47	259
Jaejoon Song	178 1.1×	72 0.7×	39 1.1×	65 2.0×	33 1.0×	26	304
Julia T. Daun	161 1.0×	76 0.7×	43 1.2×	82 2.5×	27 0.8×	20	278
Mary Insana Fisher	188 1.1×	59 0.5×	16 0.5×	40 1.2×	36 1.1×	36	288
Dálete Delalibera Corrêa de Faria Mota	104 0.6×	68 0.6×	104 3.0×	16 0.5×	45 1.4×	31	310
Lisa VanHoose	96 0.6×	47 0.4×	55 1.6×	25 0.8×	53 1.7×	25	286
Rebecca Turner	204 1.2×	74 0.7×	21 0.6×	71 2.2×	63 2.0×	23	322
Zhaohui Geng	85 0.5×	83 0.8×	38 1.1×	27 0.8×	85 2.7×	26	306
S. Dauchy	123 0.7×	77 0.7×	41 1.2×	20 0.6×	49 1.5×	47	266
Margarete Landenberger	127 0.8×	86 0.8×	84 2.4×	20 0.6×	82 2.6×	32	328
Joanne Bayly	127 0.8×	58 0.5×	78 2.2×	29 0.9×	57 1.8×	29	329

Countries citing papers authored by Jenna Smith‐Turchyn

Since Specialization

Citations

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

Fields of papers citing papers by Jenna Smith‐Turchyn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenna Smith‐Turchyn. 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 Jenna Smith‐Turchyn. The network helps show where Jenna Smith‐Turchyn may publish in the future.

Co-authorship network of co-authors of Jenna Smith‐Turchyn

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

All Works

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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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