Paul Taslimi

877 total citations
9 papers, 498 citations indexed

About

Paul Taslimi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, Paul Taslimi has authored 9 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cell Biology. Recurrent topics in Paul Taslimi's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Microtubule and mitosis dynamics (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Paul Taslimi is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Microtubule and mitosis dynamics (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Paul Taslimi collaborates with scholars based in United States and Switzerland. Paul Taslimi's co-authors include John Doran, Marc Jacobs, Mark Fleming, Lora Swenson, Koto Hayakawa, Steven F. Bellon, Ted Fox, Xun Liu, Michael Kavana and Daniel M. Kemp and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Paul Taslimi

9 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Taslimi United States	8	392	84	73	69	48	9	498
Jim D. Durbin United States	11	239 0.6×	43 0.5×	96 1.3×	29 0.4×	39 0.8×	16	445
Krisztina Bögi United States	12	712 1.8×	31 0.4×	50 0.7×	114 1.7×	91 1.9×	12	856
J. Darren Stuart United States	11	288 0.7×	26 0.3×	78 1.1×	54 0.8×	120 2.5×	13	625
Wendy H. Gough United States	10	313 0.8×	17 0.2×	33 0.5×	112 1.6×	108 2.3×	14	566
Alexios-Leandros Skaltsounis Greece	3	523 1.3×	46 0.5×	149 2.0×	54 0.8×	65 1.4×	4	708
Rafael J. Rojas United States	12	412 1.1×	19 0.2×	34 0.5×	123 1.8×	90 1.9×	17	523
Afshin Bahador United States	10	314 0.8×	16 0.2×	47 0.6×	63 0.9×	43 0.9×	19	496
Alexey E. Granovsky United States	15	537 1.4×	14 0.2×	55 0.8×	40 0.6×	39 0.8×	18	587
Long G. Wang United States	10	465 1.2×	64 0.8×	113 1.5×	96 1.4×	244 5.1×	11	761
Elina Ekokoski Finland	15	382 1.0×	29 0.3×	40 0.5×	56 0.8×	35 0.7×	29	540

Countries citing papers authored by Paul Taslimi

Since Specialization

Citations

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

Fields of papers citing papers by Paul Taslimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Taslimi

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Green, Jeremy, Jingrong Cao, Upul K. Bandarage, et al.. (2015). Design, Synthesis, and Structure–Activity Relationships of Pyridine-Based Rho Kinase (ROCK) Inhibitors. Journal of Medicinal Chemistry. 58(12). 5028–5037. 44 indexed citations

Brauchle, Michael, Rishi Arora, Ieuan Clay, et al.. (2013). Protein Complex Interactor Analysis and Differential Activity of KDM3 Subfamily Members Towards H3K9 Methylation. PLoS ONE. 8(4). e60549–e60549. 62 indexed citations

Cao, Jingrong, Huai Gao, Guy W. Bemis, et al.. (2009). Structure-based design and parallel synthesis of N-benzyl isatin oximes as JNK3 MAP kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 19(10). 2891–2895. 36 indexed citations

Farmer, Luc J., Guy W. Bemis, John E. Cochran, et al.. (2008). Discovery and SAR of novel 4-thiazolyl-2-phenylaminopyrimidines as potent inhibitors of spleen tyrosine kinase (SYK). Bioorganic & Medicinal Chemistry Letters. 18(23). 6231–6235. 25 indexed citations

Iyer, Ganesh, Paul Taslimi, & S. Pazhanisamy. (2007). Staurosporine-based binding assay for testing the affinity of compounds to protein kinases. Analytical Biochemistry. 373(2). 197–206. 11 indexed citations

Taslimi, Paul, Stephen J. Elliman, Penelope A. Kosinski, et al.. (2006). Resveratrol inhibits firefly luciferase. Biochemical and Biophysical Research Communications. 351(2). 481–484. 56 indexed citations

Jacobs, Marc, Koto Hayakawa, Lora Swenson, et al.. (2005). The Structure of Dimeric ROCK I Reveals the Mechanism for Ligand Selectivity. Journal of Biological Chemistry. 281(1). 260–268. 212 indexed citations

Doran, John, et al.. (2004). New insights into the structure–function relationships of Rho-associated kinase: a thermodynamic and hydrodynamic study of the dimer-to-monomer transition and its kinetic implications. Biochemical Journal. 384(2). 255–262. 51 indexed citations

Taslimi, Paul. (1992). A gel sample block. Journal of Chemical Education. 69(1). 61–61. 1 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.

Explore authors with similar magnitude of impact