Jack C. Taylor

1.3k total citations
8 papers, 257 citations indexed

About

Jack C. Taylor is a scholar working on Psychiatry and Mental health, Cell Biology and Molecular Biology. According to data from OpenAlex, Jack C. Taylor has authored 8 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Psychiatry and Mental health, 3 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Jack C. Taylor's work include Dementia and Cognitive Impairment Research (4 papers), Zebrafish Biomedical Research Applications (3 papers) and Receptor Mechanisms and Signaling (2 papers). Jack C. Taylor is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Zebrafish Biomedical Research Applications (3 papers) and Receptor Mechanisms and Signaling (2 papers). Jack C. Taylor collaborates with scholars based in United States and Switzerland. Jack C. Taylor's co-authors include David Kokel, Adam M. Staffaroni, Michael J. Keiser, Randall T. Peterson, Giancarlo N. Bruni, Douglas Myers-Turnbull, Adam L. Boxer, Matthew N. McCarroll, Leo Gendelev and Katherine L. Possin and has published in prestigious journals such as Nature Communications, Journal of Medicinal Chemistry and Nature Chemical Biology.

In The Last Decade

Jack C. Taylor

8 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack C. Taylor United States	6	90	77	64	57	44	8	257
Felipe Borges Almeida Brazil	10	27 0.3×	42 0.5×	89 1.4×	26 0.5×	23 0.5×	19	308
Lex Van der Ploeg United States	11	32 0.4×	103 1.3×	67 1.0×	25 0.4×	32 0.7×	13	655
Cécile Pagan France	12	16 0.2×	147 1.9×	33 0.5×	15 0.3×	74 1.7×	22	459
Ken H. Tachiki United States	11	38 0.4×	127 1.6×	90 1.4×	22 0.4×	34 0.8×	19	419
Frederike Winkel Finland	6	29 0.3×	43 0.6×	116 1.8×	31 0.5×	36 0.8×	6	180
Vesna Lazarevic Sweden	9	90 1.0×	170 2.2×	163 2.5×	33 0.6×	33 0.8×	12	406
Micah J. Eimerbrink United States	9	44 0.5×	73 0.9×	36 0.6×	25 0.4×	33 0.8×	17	305
Ciarán Martin Fitzpatrick Denmark	11	17 0.2×	110 1.4×	188 2.9×	42 0.7×	76 1.7×	18	307
Satoko Harada Japan	8	7 0.1×	91 1.2×	131 2.0×	97 1.7×	67 1.5×	11	391
Keisuke Motomura Japan	8	20 0.2×	69 0.9×	98 1.5×	32 0.6×	20 0.5×	13	373

Countries citing papers authored by Jack C. Taylor

Since Specialization

Citations

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

Fields of papers citing papers by Jack C. Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack C. Taylor

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

All Works

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8 of 8 papers shown

Gendelev, Leo, Jack C. Taylor, Douglas Myers-Turnbull, et al.. (2024). Deep phenotypic profiling of neuroactive drugs in larval zebrafish. Nature Communications. 15(1). 9955–9955. 1 indexed citations

Paolillo, Emily W., Kaitlin B. Casaletto, Jack C. Taylor, et al.. (2023). Passively monitored smartphone battery percentage relates to disease severity in frontotemporal dementia: A proof‐of‐concept study. Alzheimer s & Dementia. 19(S18). 1 indexed citations

Staffaroni, Adam M., Sandra Weıntraub, Katya Rascovsky, et al.. (2021). Uniform data set language measures for bvFTD and PPA diagnosis and monitoring. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 13(1). e12148–e12148. 20 indexed citations

Staffaroni, Adam M., Jack C. Taylor, Hilary W. Heuer, et al.. (2021). A remote smartphone cognitive testing battery for frontotemporal dementia: Completion rate, reliability, and validity. Alzheimer s & Dementia. 17(S6). 5 indexed citations

Staffaroni, Adam M., Elena Tsoy, Jack C. Taylor, Adam L. Boxer, & Katherine L. Possin. (2020). Digital Cognitive Assessments for Dementia: Digital assessments may enhance the efficiency of evaluations in neurology and other clinics.. PubMed. 2020. 24–45. 28 indexed citations

Dunlap, Lee E., Calvin Ly, Lindsay P. Cameron, et al.. (2020). Identification of Psychoplastogenic N,N-Dimethylaminoisotryptamine (isoDMT) Analogues through Structure–Activity Relationship Studies. Journal of Medicinal Chemistry. 63(3). 1142–1155. 63 indexed citations

McCarroll, Matthew N., Leo Gendelev, Jack C. Taylor, et al.. (2019). Zebrafish behavioural profiling identifies GABA and serotonin receptor ligands related to sedation and paradoxical excitation. Nature Communications. 10(1). 4078–4078. 28 indexed citations

Bruni, Giancarlo N., Andrew J. Rennekamp, Matthew N. McCarroll, et al.. (2016). Zebrafish behavioral profiling identifies multitarget antipsychotic-like compounds. Nature Chemical Biology. 12(7). 559–566. 111 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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