Keegan Walker

713 total citations · 1 hit paper
6 papers, 492 citations indexed

About

Keegan Walker is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Keegan Walker has authored 6 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Keegan Walker's work include Tissue Engineering and Regenerative Medicine (3 papers), Mesenchymal stem cell research (2 papers) and Photoreceptor and optogenetics research (1 paper). Keegan Walker is often cited by papers focused on Tissue Engineering and Regenerative Medicine (3 papers), Mesenchymal stem cell research (2 papers) and Photoreceptor and optogenetics research (1 paper). Keegan Walker collaborates with scholars based in United States, India and Netherlands. Keegan Walker's co-authors include Christina Brown, Christina McKee, Shreeya Bakshi, David M. Svinarich, Chhabi K. Govind, Sophia Halassy, Robert A. Dodds, G. Rasul Chaudhry, Ali Al Bshabshe and Melissa Assirelli and has published in prestigious journals such as Oncotarget, Process Safety and Environmental Protection and Stem Cell Research & Therapy.

In The Last Decade

Keegan Walker

6 papers receiving 484 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.

Mesenchymal stem cells: Cell therapy and regeneration potential

2019 433 citations Christina Brown, Christina McKee et al. Journal of Tissue Engineering and Regenerative Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keegan Walker United States	6	249	203	144	73	64	6	492
Shreeya Bakshi United States	6	250 1.0×	201 1.0×	153 1.1×	73 1.0×	60 0.9×	9	504
Sophia Halassy United States	3	253 1.0×	186 0.9×	142 1.0×	78 1.1×	53 0.8×	5	480
Joana R. Ferreira Portugal	8	269 1.1×	199 1.0×	197 1.4×	81 1.1×	86 1.3×	10	658
Valentina Parazzi Italy	13	222 0.9×	226 1.1×	141 1.0×	83 1.1×	71 1.1×	18	555
Kuixing Wang China	8	218 0.9×	251 1.2×	125 0.9×	87 1.2×	73 1.1×	9	547
Yuka Milton United States	3	295 1.2×	214 1.1×	169 1.2×	66 0.9×	72 1.1×	3	525
Nataliya Basalova Russia	11	228 0.9×	197 1.0×	169 1.2×	60 0.8×	48 0.8×	33	527
Sangeetha Kandoi United States	7	224 0.9×	214 1.1×	137 1.0×	50 0.7×	65 1.0×	15	498
Gabriella Andriolo Italy	10	261 1.0×	312 1.5×	175 1.2×	102 1.4×	47 0.7×	15	534
Stefanie Liedtke Germany	7	362 1.5×	235 1.2×	200 1.4×	59 0.8×	48 0.8×	12	552

Countries citing papers authored by Keegan Walker

Since Specialization

Citations

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

Fields of papers citing papers by Keegan Walker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keegan Walker

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

All Works

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6 of 6 papers shown

1.

Walker, Keegan, et al.. (2023). Regulation of self-renewal and senescence in primitive mesenchymal stem cells by Wnt and TGFβ signaling. Stem Cell Research & Therapy. 14(1). 305–305. 10 indexed citations

2.

Brown, Christina, Christina McKee, Keegan Walker, et al.. (2022). Human primitive mesenchymal stem cell-derived retinal progenitor cells improved neuroprotection, neurogenesis, and vision in rd12 mouse model of retinitis pigmentosa. Stem Cell Research & Therapy. 13(1). 148–148. 17 indexed citations

3.

Walker, Keegan, et al.. (2021). Experimental and modeling study on meso- and micromixing in the rotor–stator spinning disk reactor. Process Safety and Environmental Protection. 173. 279–288. 9 indexed citations

4.

McKee, Christina, Christina Brown, Shreeya Bakshi, et al.. (2020). Transcriptomic Analysis of Naïve Human Embryonic Stem Cells Cultured in Three-Dimensional PEG Scaffolds. Biomolecules. 11(1). 21–21. 6 indexed citations

5.

Brown, Christina, Christina McKee, Shreeya Bakshi, et al.. (2019). Mesenchymal stem cells: Cell therapy and regeneration potential. Journal of Tissue Engineering and Regenerative Medicine. 13(9). 1738–1755. 433 indexed citations breakdown →

6.

Bakshi, Shreeya, Christina McKee, Keegan Walker, Christina Brown, & G. Rasul Chaudhry. (2018). Toxicity of JQ1 in neuronal derivatives of human umbilical cord mesenchymal stem cells. Oncotarget. 9(73). 33853–33864. 17 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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