Jeff W. Paslay

1.4k total citations · 1 hit paper
6 papers, 971 citations indexed

About

Jeff W. Paslay is a scholar working on Molecular Biology, Sensory Systems and Biochemistry. According to data from OpenAlex, Jeff W. Paslay has authored 6 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Sensory Systems and 2 papers in Biochemistry. Recurrent topics in Jeff W. Paslay's work include Phytochemicals and Antioxidant Activities (2 papers), Ion Channels and Receptors (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). Jeff W. Paslay is often cited by papers focused on Phytochemicals and Antioxidant Activities (2 papers), Ion Channels and Receptors (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). Jeff W. Paslay collaborates with scholars based in United States, Canada and Switzerland. Jeff W. Paslay's co-authors include G. Sitta Sittampalam, Martyn Banks, Darren V. S. Green, William P. Janzen, Dragan A. Cirovic, Tina Garyantes, David Burns, Robert Hertzberg, Ulrich Schopfer and Ricardo Macarrón and has published in prestigious journals such as Nature Reviews Drug Discovery, Biochemical Pharmacology and SLAS DISCOVERY.

In The Last Decade

Jeff W. Paslay

6 papers receiving 950 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.

Impact of high-throughput screening in biomedical research

2011 920 citations Ricardo Macarrón, Martyn Banks et al. Nature Reviews Drug Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff W. Paslay United States	5	550	356	145	144	116	6	971
Dragan A. Cirovic United Kingdom	6	547 1.0×	357 1.0×	144 1.0×	171 1.2×	117 1.0×	8	1.0k
Tina Garyantes United States	10	734 1.3×	390 1.1×	145 1.0×	155 1.1×	121 1.0×	16	1.3k
Alex. M. Weir United Kingdom	2	424 0.8×	371 1.0×	92 0.6×	121 0.8×	74 0.6×	2	956
Owen B. Wallace United States	16	689 1.3×	405 1.1×	403 2.8×	146 1.0×	91 0.8×	27	1.6k
Martyn Banks United States	17	1.0k 1.9×	431 1.2×	241 1.7×	254 1.8×	128 1.1×	37	1.7k
Matthias Zentgraf Germany	11	511 0.9×	467 1.3×	129 0.9×	60 0.4×	265 2.3×	14	946
Miquel Duran‐Frigola Spain	19	696 1.3×	394 1.1×	63 0.4×	134 0.9×	176 1.5×	46	1.2k
Christian N. Parker Switzerland	21	955 1.7×	292 0.8×	111 0.8×	77 0.5×	79 0.7×	47	1.4k
Michael Reutlinger Switzerland	17	604 1.1×	598 1.7×	207 1.4×	69 0.5×	178 1.5×	40	990
Maria I. Zavodszky United States	14	522 0.9×	214 0.6×	72 0.5×	47 0.3×	141 1.2×	26	760

Countries citing papers authored by Jeff W. Paslay

Since Specialization

Citations

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

Fields of papers citing papers by Jeff W. Paslay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff W. Paslay. 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 Jeff W. Paslay. The network helps show where Jeff W. Paslay may publish in the future.

Co-authorship network of co-authors of Jeff W. Paslay

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff W. Paslay. A scholar is included among the top collaborators of Jeff W. Paslay 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 Jeff W. Paslay. Jeff W. Paslay 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.

Macarrón, Ricardo, Martyn Banks, Dejan Bojanic, et al.. (2011). Impact of high-throughput screening in biomedical research. Nature Reviews Drug Discovery. 10(3). 188–195. 920 indexed citations breakdown →

2.

Liu, Kun, et al.. (2010). Rb ⁺ Efflux Assay for Assessment of Non-Selective Cation Channel Activities. Assay and Drug Development Technologies. 8(3). 375–383. 4 indexed citations

3.

Liu, Kun, et al.. (2010). NPPB structure-specifically activates TRPA1 channels. Biochemical Pharmacology. 80(1). 113–121. 23 indexed citations

4.

Liu, Kun, James K. Hennan, Belew Mekonnen, et al.. (2009). High-Throughput Screening for Kv1.3 Channel Blockers Using an Improved FLIPR-Based Membrane-Potential Assay. SLAS DISCOVERY. 15(2). 185–195. 11 indexed citations

5.

Hayward, Matthew M., Jack Bikker, John W. Ellingboe, et al.. (2009). Lead-Seeking Approaches. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations

6.

Tracey, Daniel E., Maris Hardee, Karen A. Richard, & Jeff W. Paslay. (1988). Pharmacological inhibition of interleukin-1 activity on T cells by hydrocortisone, cyclosporine, prostaglandins, and cyclic nucleotides. Immunopharmacology. 15(1). 47–62. 9 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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