Kevin M. Bean

1.3k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Kevin M. Bean is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Kevin M. Bean has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Immunology and Allergy. Recurrent topics in Kevin M. Bean's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Cellular transport and secretion (2 papers) and Cell Adhesion Molecules Research (2 papers). Kevin M. Bean is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Cellular transport and secretion (2 papers) and Cell Adhesion Molecules Research (2 papers). Kevin M. Bean collaborates with scholars based in United States, Norway and Croatia. Kevin M. Bean's co-authors include Geertruida M. Veldman, Dale A. Cumming, Tim J. Ahern, Gray D. Shaw, Xiao-Jia Chang, Gloria Vachino, K.M. Barone, Bruce Furie, Dianne Sako and G R Larsen and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Kevin M. Bean

8 papers receiving 1.1k 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.

Expression cloning of a functional glycoprotein ligand for P-selectin

1993 610 citations Dianne Sako, Xiao-Jia Chang et al. Cell profile →

Peers

Kevin M. Bean

IA

MB

IMMUN

ONCOL

CR

K.M. Barone United States

Xiao-Jia Chang United States

Andrew Sprague United States

Roger Ferrini United States

Margarete Schön Germany

E.-J. Schlaeǵer Switzerland

J W Barnwell United States

Ilana Yron Israel

Lisa Natkin United States

Ricciarda Galandrini Italy

K.M. Barone United States

Kevin M. Bean

737 ×1.5

IA

634 ×1.4

MB

415 ×0.9

IMMUN

139 ×0.8

ONCOL

263 ×1.7

CR

Citations per year, relative to Kevin M. Bean Kevin M. Bean (= 1×) peers K.M. Barone

Countries citing papers authored by Kevin M. Bean

Since Specialization

Citations

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

Fields of papers citing papers by Kevin M. Bean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin M. Bean. 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 Kevin M. Bean. The network helps show where Kevin M. Bean may publish in the future.

Co-authorship network of co-authors of Kevin M. Bean

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Bean. A scholar is included among the top collaborators of Kevin M. Bean 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 Kevin M. Bean. Kevin M. Bean 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:

8 of 8 papers shown

1.

Ling, Vincent, Paul W. Wu, Heather Finnerty, et al.. (2000). Cutting Edge: Identification of GL50, a Novel B7-Like Protein That Functionally Binds to ICOS Receptor. The Journal of Immunology. 164(4). 1653–1657. 202 indexed citations

2.

Telliez, Jean‐Baptiste, Kevin M. Bean, & Lih‐Ling Lin. (2000). LRDD, a novel leucine rich repeat and death domain containing protein. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1478(2). 280–288. 47 indexed citations

3.

Bean, Kevin M., et al.. (1999). Molecular Characterization of Cytosolic Phospholipase A2-β. Journal of Biological Chemistry. 274(24). 17063–17067. 98 indexed citations

4.

Veldman, Geertruida M., Kevin M. Bean, Dale A. Cumming, et al.. (1995). Genomic Organization and Chromosomal Localization of the Gene Encoding Human P-selectin Glycoprotein Ligand. Journal of Biological Chemistry. 270(27). 16470–16475. 31 indexed citations

5.

Finnerty, Heather, G E Morris, Kevin M. Bean, et al.. (1993). Molecular cloning of murine FLT and FLT4.. PubMed. 8(8). 2293–8. 76 indexed citations

6.

Sako, Dianne, Xiao-Jia Chang, K.M. Barone, et al.. (1993). Expression cloning of a functional glycoprotein ligand for P-selectin. Cell. 75(6). 1179–1186. 610 indexed citations breakdown →

7.

Dorner, Andrew J., Françoise Bonneville, Ronald Kriz, et al.. (1991). Molecular cloning and characterization of a complete Chinese hamster provirus related to intracisternal A particle genomes. Journal of Virology. 65(9). 4713–4719. 13 indexed citations

8.

Pavan‐Langston, Deborah, et al.. (1988). Detection of HSV nucleic acid sequences in the cornea during acute and latent ocular disease. Experimental Eye Research. 47(4). 545–553. 37 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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