Luis A. Bejarano

480 total citations
11 papers, 372 citations indexed

About

Luis A. Bejarano is a scholar working on Molecular Biology, Periodontics and Cell Biology. According to data from OpenAlex, Luis A. Bejarano has authored 11 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Periodontics and 4 papers in Cell Biology. Recurrent topics in Luis A. Bejarano's work include Oral microbiology and periodontitis research (4 papers), Microtubule and mitosis dynamics (3 papers) and Gut microbiota and health (3 papers). Luis A. Bejarano is often cited by papers focused on Oral microbiology and periodontitis research (4 papers), Microtubule and mitosis dynamics (3 papers) and Gut microbiota and health (3 papers). Luis A. Bejarano collaborates with scholars based in Spain, Germany and United States. Luis A. Bejarano's co-authors include Isabel Peset, Jeanette Seiler, Isabelle Vernos, Teresa Sardón, Sonja Rybina, Cayetano González, Manuel M. Valdivia, Susana Iraola‐Guzmán, Núria Andreu and Julia Ponomarenko and has published in prestigious journals such as The Journal of Cell Biology, Journal of Cell Science and Trends in Cell Biology.

In The Last Decade

Luis A. Bejarano

11 papers receiving 368 citations

Peers

Luis A. Bejarano
Scott E. Dixon United States
Vanessa Lakis Australia
Tahira Riaz Norway
Kristian Stødkilde Denmark
Emily L. Abbot United Kingdom
Antje Bast Germany
Joel A. Kooren United States
JoséLuis Avila Venezuela
Ana Rita Bezerra Portugal
Garold Fuks Israel
Scott E. Dixon United States
Luis A. Bejarano
Citations per year, relative to Luis A. Bejarano Luis A. Bejarano (= 1×) peers Scott E. Dixon

Countries citing papers authored by Luis A. Bejarano

Since Specialization
Citations

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

Fields of papers citing papers by Luis A. Bejarano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis A. Bejarano. 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 Luis A. Bejarano. The network helps show where Luis A. Bejarano may publish in the future.

Co-authorship network of co-authors of Luis A. Bejarano

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

All Works

11 of 11 papers shown
1.
Willis, Jesse R., Ester Saus, Susana Iraola‐Guzmán, et al.. (2022). Citizen-science reveals changes in the oral microbiome in Spain through age and lifestyle factors. npj Biofilms and Microbiomes. 8(1). 38–38. 43 indexed citations
2.
Willis, Jesse R., Ester Saus, Susana Iraola‐Guzmán, et al.. (2021). Citizen-science based study of the oral microbiome in Cystic fibrosis and matched controls reveals major differences in diversity and abundance of bacterial and fungal species. Journal of Oral Microbiology. 13(1). 1897328–1897328. 16 indexed citations
3.
Willis, Jesse R., Susana Iraola‐Guzmán, Ester Saus, et al.. (2020). Oral microbiome in down syndrome and its implications on oral health. Journal of Oral Microbiology. 13(1). 1865690–1865690. 21 indexed citations
4.
Willis, Jesse R., Pedro González‐Torres, Alexandros A. Pittis, et al.. (2018). Citizen science charts two major “stomatotypes” in the oral microbiome of adolescents and reveals links with habits and drinking water composition. Microbiome. 6(1). 218–218. 112 indexed citations
5.
Peset, Isabel, Jeanette Seiler, Teresa Sardón, et al.. (2005). Function and regulation of Maskin, a TACC family protein, in microtubule growth during mitosis. The Journal of Cell Biology. 170(7). 1057–1066. 114 indexed citations
6.
González, Cayetano & Luis A. Bejarano. (2000). Protein traps: using intracellular localization for cloning. Trends in Cell Biology. 10(4). 162–165. 18 indexed citations
7.
Bejarano, Luis A. & Cayetano González. (1999). Motif Trap: a rapid method to clone motifs that can target proteins to defined subcellular localisations. Journal of Cell Science. 112(23). 4207–4211. 15 indexed citations
8.
Bejarano, Luis A., et al.. (1997). Expression of the Highly Toxic Centromere Binding Protein CENP-B in E. coli Using the pET System in the Absence of the Inducer IPTG. BioTechniques. 22(5). 798–802. 4 indexed citations
9.
Bejarano, Luis A. & Manuel M. Valdivia. (1996). Molecular cloning of an intronless gene for the hamster centromere antigen CENP-B. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1307(1). 21–25. 18 indexed citations
10.
Bejarano, Luis A., Jorge Bolı́var, & Manuel M. Valdivia. (1993). Anticentromere antibody specific to human cells directed against the CENP-B autoantigen. Cytogenetic and Genome Research. 63(1). 54–58. 9 indexed citations
11.
Bejarano, Luis A., et al.. (1991). Monoclonal Antibody with Specificity to a Conserved Epitope in the C-Terminal Domain of Histone H1 Variants.. Cell Structure and Function. 16(4). 323–331. 2 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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