Emily C. LaVoy

1.4k total citations
47 papers, 987 citations indexed

About

Emily C. LaVoy is a scholar working on Rehabilitation, Immunology and Physiology. According to data from OpenAlex, Emily C. LaVoy has authored 47 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Rehabilitation, 20 papers in Immunology and 9 papers in Physiology. Recurrent topics in Emily C. LaVoy's work include Exercise and Physiological Responses (26 papers), Immune Cell Function and Interaction (19 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Emily C. LaVoy is often cited by papers focused on Exercise and Physiological Responses (26 papers), Immune Cell Function and Interaction (19 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Emily C. LaVoy collaborates with scholars based in United States, Netherlands and Germany. Emily C. LaVoy's co-authors include Richard J. Simpson, Austin B. Bigley, Guillaume Spielmann, Hawley Kunz, Thomas Lowder, Robert Dantzer, Christopher P. Fagundes, Catherine M. Bollard, Brian K. McFarlin and Mitzi S. Laughlin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of Applied Physiology.

In The Last Decade

Emily C. LaVoy

46 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily C. LaVoy United States 17 454 267 258 214 113 47 987
Austin B. Bigley United States 19 580 1.3× 464 1.7× 313 1.2× 206 1.0× 116 1.0× 34 1.1k
Thomas Lowder United States 17 508 1.1× 225 0.8× 327 1.3× 42 0.2× 99 0.9× 31 986
Grace M. Niemiro United States 13 256 0.6× 119 0.4× 620 2.4× 124 0.6× 41 0.4× 30 1.2k
Rachel M. Graff United States 5 266 0.6× 89 0.3× 166 0.6× 64 0.3× 70 0.6× 11 557
Geraint Florida‐James United Kingdom 19 355 0.8× 150 0.6× 210 0.8× 41 0.2× 22 0.2× 41 850
K. Klarlund Denmark 10 472 1.0× 191 0.7× 174 0.7× 40 0.2× 78 0.7× 17 714
Anna Strömberg Sweden 17 135 0.3× 28 0.1× 446 1.7× 84 0.4× 50 0.4× 38 1.1k
Jan Bjersing Sweden 19 65 0.1× 131 0.5× 256 1.0× 43 0.2× 552 4.9× 37 1.1k
Dimitri Hemelsoet Belgium 21 111 0.2× 189 0.7× 230 0.9× 13 0.1× 100 0.9× 80 1.4k
Heather L. Benson United States 6 69 0.2× 162 0.6× 66 0.3× 55 0.3× 39 0.3× 8 593

Countries citing papers authored by Emily C. LaVoy

Since Specialization
Citations

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

Fields of papers citing papers by Emily C. LaVoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily C. LaVoy. 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 Emily C. LaVoy. The network helps show where Emily C. LaVoy may publish in the future.

Co-authorship network of co-authors of Emily C. LaVoy

This figure shows the co-authorship network connecting the top 25 collaborators of Emily C. LaVoy. A scholar is included among the top collaborators of Emily C. LaVoy 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 Emily C. LaVoy. Emily C. LaVoy 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.
Gordon, Max J., Melissa M. Markofski, Emily C. LaVoy, et al.. (2024). Optimization of mHealth behavioral interventions for patients with chronic lymphocytic leukemia: the HEALTH4CLL study. Journal of Cancer Survivorship. 19(4). 1325–1334. 2 indexed citations
2.
Lacourt, Tamara E., Debu Tripathy, Maria C. Swartz, Emily C. LaVoy, & Cobi J. Heijnen. (2024). Distress and inflammation are independently associated with cancer-related symptom severity. SHILAP Revista de lepidopterología. 20. 100269–100269.
3.
Pareek, Sumedha, Riccardo Ballarò, Darlan Conterno Minussi, et al.. (2023). Aerobic Exercise Alters the Melanoma Microenvironment and Modulates ERK5 S496 Phosphorylation. Cancer Immunology Research. 11(9). 1168–1183. 12 indexed citations
5.
Batatinha, Helena, Grace M. Niemiro, Forrest L. Baker, et al.. (2023). Human lymphocytes mobilized with exercise have an anti-tumor transcriptomic profile and exert enhanced graft-versus-leukemia effects in xenogeneic mice. Frontiers in Immunology. 14. 1067369–1067369. 10 indexed citations
6.
LaVoy, Emily C., et al.. (2023). Objective and subjective sleep patterns and biomarkers of stress among women with a history of sexual abuse in childhood.. Psychological Trauma Theory Research Practice and Policy. 16(Suppl 1). S293–S301. 1 indexed citations
7.
8.
Schadler, Keri, et al.. (2022). Effect of exercise on pancreatic cancer patients during treatment: a scoping review of the literature. Supportive Care in Cancer. 30(7). 5669–5690. 9 indexed citations
9.
Reesor-Oyer, Layton, Rosenda Murillo, Emily C. LaVoy, et al.. (2021). Evaluation of the Role of Leisure Time Physical Activity and Sedentary Behavior Simultaneously on the Income-Overweight/Obesity Relationship. International Journal of Environmental Research and Public Health. 18(6). 3127–3127. 6 indexed citations
11.
LaVoy, Emily C., et al.. (2018). High adenovirus 36 seroprevalence among a population of Hispanic American youth. International Journal of Adolescent Medicine and Health. 33(2). 7 indexed citations
12.
Wardle, Margaret C., Paula Lopez-Gamundi, & Emily C. LaVoy. (2018). Effects of an acute bout of physical exercise on reward functioning in healthy adults. Physiology & Behavior. 194. 552–559. 6 indexed citations
13.
Simpson, Richard J., Austin B. Bigley, Guillaume Spielmann, et al.. (2018). Human cytomegalovirus infection and the immune response to exercise.. PubMed. 22. 8–27. 35 indexed citations
14.
Bigley, Austin B., et al.. (2018). Autologous serum collected 1 h post-exercise enhances natural killer cell cytotoxicity. Brain Behavior and Immunity. 71. 81–92. 22 indexed citations
15.
Graff, Rachel M., Hawley Kunz, Nadia H. Agha, et al.. (2018). β2-Adrenergic receptor signaling mediates the preferential mobilization of differentiated subsets of CD8+ T-cells, NK-cells and non-classical monocytes in response to acute exercise in humans. Brain Behavior and Immunity. 74. 143–153. 98 indexed citations
16.
LaVoy, Emily C., Catherine M. Bollard, Patrick J. Hanley, et al.. (2015). A single bout of dynamic exercise enhances the expansion of MAGE-A4 and PRAME-specific cytotoxic T-cells from healthy adults.. PubMed. 21. 144–53. 29 indexed citations
17.
LaVoy, Emily C., David C. Nieman, Dru A. Henson, et al.. (2013). Latent cytomegalovirus infection and innate immune function following a 75 km cycling time trial. European Journal of Applied Physiology. 113(10). 2629–2635. 3 indexed citations
18.
Pistillo, Mira, Austin B. Bigley, Guillaume Spielmann, et al.. (2013). The effects of age and viral serology on γδ T-cell numbers and exercise responsiveness in humans. Cellular Immunology. 284(1-2). 91–97. 20 indexed citations
19.
Simpson, Richard J., Thomas Lowder, Guillaume Spielmann, et al.. (2012). Exercise and the aging immune system. Ageing Research Reviews. 11(3). 404–420. 184 indexed citations
20.
Simpson, Richard J., Guillaume Spielmann, Austin B. Bigley, et al.. (2011). Latent CMV and EBV infections and the mobilization of viral-specific and senescent T-cells with exercise (102.6). The Journal of Immunology. 186(1_Supplement). 102.6–102.6. 1 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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