Kyle B. Spainhower

751 total citations
10 papers, 113 citations indexed

About

Kyle B. Spainhower is a scholar working on Molecular Biology, Paleontology and Oncology. According to data from OpenAlex, Kyle B. Spainhower has authored 10 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Paleontology and 4 papers in Oncology. Recurrent topics in Kyle B. Spainhower's work include Evolution and Paleontology Studies (5 papers), Muscle Physiology and Disorders (4 papers) and Lung Cancer Research Studies (3 papers). Kyle B. Spainhower is often cited by papers focused on Evolution and Paleontology Studies (5 papers), Muscle Physiology and Disorders (4 papers) and Lung Cancer Research Studies (3 papers). Kyle B. Spainhower collaborates with scholars based in United States, Argentina and United Kingdom. Kyle B. Spainhower's co-authors include Michael T. Butcher, Trudy G. Oliver, Matthew R. Guthrie, Benjamin L. Witt, Mariella Superina, David W. Kastner, Sarah J. Wait, Karine Pozo, Rachelle R. Olsen and Abbie S. Ireland and has published in prestigious journals such as Genes & Development, Cancer Research and Oncogene.

In The Last Decade

Kyle B. Spainhower

10 papers receiving 113 citations

Peers

Kyle B. Spainhower

MB

PALEO

ONCOL

SP

EEBS

Alessandro Felder United Kingdom

Guy Amster United States

Olivia Weeks United States

Irene Lobón Spain

Evonne McArthur United States

Óscar Acosta Peru

Ivon Harliwong Australia

Rifat Hadžiselimović Bosnia and Herzegovina

Rafael Bisso‐Machado Brazil

Shiyang He China

Alessandro Felder United Kingdom

Kyle B. Spainhower

23 ×0.5

MB

36 ×0.8

PALEO

6 ×0.1

ONCOL

8 ×0.3

SP

13 ×0.6

EEBS

Citations per year, relative to Kyle B. Spainhower Kyle B. Spainhower (= 1×) peers Alessandro Felder

Countries citing papers authored by Kyle B. Spainhower

Since Specialization

Citations

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

Fields of papers citing papers by Kyle B. Spainhower

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle B. Spainhower. 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 Kyle B. Spainhower. The network helps show where Kyle B. Spainhower may publish in the future.

Co-authorship network of co-authors of Kyle B. Spainhower

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle B. Spainhower. A scholar is included among the top collaborators of Kyle B. Spainhower 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 Kyle B. Spainhower. Kyle B. Spainhower 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.

Li, Jiahui, Kyle B. Spainhower, Douglas W. Sborov, et al.. (2025). Two-component T-cell immunotherapy enables antigen pre-targeting to reduce cytokine release without forfeiting efficacy. Nanomedicine Nanotechnology Biology and Medicine. 67. 102825–102825. 1 indexed citations

2.

Spainhower, Kyle B., et al.. (2023). Muscle architectural properties indicate a primary role in support for the pelvic limb of three‐toed sloths (Bradypus variegatus). Journal of Anatomy. 243(3). 448–466. 1 indexed citations

3.

Kollipara, Rahul K., Karine Pozo, Shreoshi Pal Choudhuri, et al.. (2022). Inhibition of Karyopherin β1-Mediated Nuclear Import Disrupts Oncogenic Lineage-Defining Transcription Factor Activity in Small Cell Lung Cancer. Cancer Research. 82(17). 3058–3073. 9 indexed citations

4.

Hamad, Samera H., Stephanie A. Montgomery, Jeremy M. Simon, et al.. (2022). TP53, CDKN2A/P16, and NFE2L2/NRF2 regulate the incidence of pure- and combined-small cell lung cancer in mice. Oncogene. 41(25). 3423–3432. 10 indexed citations

5.

Butcher, Michael T., et al.. (2022). Myology of the pelvic limb of the brown‐throated three‐toed sloth (Bradypus variegatus). Journal of Anatomy. 240(6). 1048–1074. 5 indexed citations

6.

Olsen, Rachelle R., Abbie S. Ireland, David W. Kastner, et al.. (2021). ASCL1 represses a SOX9 ⁺ neural crest stem-like state in small cell lung cancer. Genes & Development. 35(11-12). 847–869. 38 indexed citations

7.

Spainhower, Kyle B., et al.. (2021). Hind Limb Bone Proportions Reveal Unexpected Morphofunctional Diversification in Xenarthrans. Journal of Mammalian Evolution. 28(3). 599–619. 11 indexed citations

8.

Spainhower, Kyle B., et al.. (2020). Coming to grips with life upside down: how myosin fiber type and metabolic properties of sloth hindlimb muscles contribute to suspensory function. Journal of Comparative Physiology B. 191(1). 207–224. 12 indexed citations

9.

Superina, Mariella, et al.. (2020). Forelimb myology of armadillos (Xenarthra: Cingulata, Chlamyphoridae): Anatomical correlates with fossorial ability. Journal of Anatomy. 238(3). 551–575. 13 indexed citations

10.

Spainhower, Kyle B., et al.. (2018). Cheap labor: myosin fiber type expression and enzyme activity in the forelimb musculature of sloths (Pilosa: Xenarthra). Journal of Applied Physiology. 125(3). 799–811. 13 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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