Tyler Harvey

1.9k total citations · 1 hit paper
7 papers, 213 citations indexed

About

Tyler Harvey is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Surgery. According to data from OpenAlex, Tyler Harvey has authored 7 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Orthopedics and Sports Medicine and 1 paper in Surgery. Recurrent topics in Tyler Harvey's work include Tendon Structure and Treatment (3 papers), Muscle Physiology and Disorders (2 papers) and CAR-T cell therapy research (1 paper). Tyler Harvey is often cited by papers focused on Tendon Structure and Treatment (3 papers), Muscle Physiology and Disorders (2 papers) and CAR-T cell therapy research (1 paper). Tyler Harvey collaborates with scholars based in United States and Italy. Tyler Harvey's co-authors include Chen‐Ming Fan, Sheryl Southard, Christoph Lepper, Lydia Li, Michelle Rozo, Sheila M. Adams, Micah T. Webster, Snehal S. Shetye, Stephanie N. Weiss and David E. Birk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Cell Biology and Cell Death and Disease.

In The Last Decade

Tyler Harvey

7 papers receiving 213 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Tppp3+Pdgfra+ tendon stem cell population contributes to regeneration and reveals a shared role for PDGF signalling in regeneration and fibrosis

2019 177 citations Tyler Harvey, Chen‐Ming Fan et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tyler Harvey United States	3	132	87	60	32	29	7	213
T. B. Layton United Kingdom	7	75 0.6×	80 0.9×	49 0.8×	36 1.1×	27 0.9×	16	256
Yalda A. Kharaz United Kingdom	10	152 1.2×	107 1.2×	88 1.5×	38 1.2×	36 1.2×	24	299
Emma Knapp United States	10	175 1.3×	165 1.9×	135 2.3×	55 1.7×	43 1.5×	21	398
Ahmad F. Bayomy United States	9	104 0.8×	172 2.0×	105 1.8×	19 0.6×	16 0.6×	14	327
Jessica E. Ackerman United States	10	251 1.9×	165 1.9×	55 0.9×	69 2.2×	60 2.1×	14	340
Takuya Tokunaga Japan	10	251 1.9×	320 3.7×	27 0.5×	17 0.5×	19 0.7×	28	425
Laura Beatríz Andrini Argentina	9	88 0.7×	183 2.1×	56 0.9×	15 0.5×	7 0.2×	27	322
Babak Mehrara United States	6	109 0.8×	248 2.9×	23 0.4×	18 0.6×	20 0.7×	14	332
Maria Elena Candela United States	9	73 0.6×	74 0.9×	96 1.6×	35 1.1×	13 0.4×	11	286
Shengcan Li China	12	200 1.5×	199 2.3×	33 0.6×	6 0.2×	25 0.9×	14	328

Countries citing papers authored by Tyler Harvey

Since Specialization

Citations

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

Fields of papers citing papers by Tyler Harvey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler Harvey

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

All Works

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7 of 7 papers shown

1.

Wang, Yiyun, Qizhi Qin, Ziyi Wang, et al.. (2024). The Mohawk homeobox gene represents a marker and osteo-inhibitory factor in calvarial suture osteoprogenitor cells. Cell Death and Disease. 15(6). 420–420. 1 indexed citations

2.

Pham, Hai Thanh, Tyler Harvey, Tina M. Kilts, et al.. (2021). Coordinate roles for collagen VI and biglycan in regulating tendon collagen fibril structure and function. SHILAP Revista de lepidopterología. 13. 100099–100099. 15 indexed citations

3.

Harvey, Tyler. (2021). Make It Plain: COVID-19 And How Fundamental Cultural Misunderstandings About How Viruses Work Can Spread Infection And Hesitancy. Practicing Anthropology. 43(4). 19–22. 2 indexed citations

4.

Harvey, Tyler, et al.. (2019). A Tppp3+Pdgfra+ tendon stem cell population contributes to regeneration and reveals a shared role for PDGF signalling in regeneration and fibrosis. Nature Cell Biology. 21(12). 1490–1503. 177 indexed citations breakdown →

5.

Harvey, Tyler & Chen‐Ming Fan. (2018). Origin of tendon stem cells in situ. Frontiers in Biology. 13(4). 263–276. 2 indexed citations

6.

Webster, Micah T., Tyler Harvey, & Chen‐Ming Fan. (2016). Quantitative 3D Time Lapse Imaging of Muscle Progenitors in Skeletal Muscle of Live Mice. BIO-PROTOCOL. 6(24). 2 indexed citations

7.

Southard, Sheryl, Lydia Li, Michelle Rozo, et al.. (2014). A series of Cre‐ER^T2 drivers for manipulation of the skeletal muscle lineage. genesis. 52(8). 759–770. 14 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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