Khemissa Bejaoui

1.9k total citations
16 papers, 758 citations indexed

About

Khemissa Bejaoui is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Khemissa Bejaoui has authored 16 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Khemissa Bejaoui's work include Muscle Physiology and Disorders (7 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Khemissa Bejaoui is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Khemissa Bejaoui collaborates with scholars based in United States, France and Tunisia. Khemissa Bejaoui's co-authors include Robert H. Brown, Peter J. de Jong, Fayçal Hentati, Margaret Scheffler, Chenyan Wu, P. Ashby, Kentaro Hanada, Mengfatt Ho, Yoshikazu Uchida and Walter M. Holleran and has published in prestigious journals such as Journal of Clinical Investigation, Nature Genetics and Neurology.

In The Last Decade

Khemissa Bejaoui

16 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khemissa Bejaoui United States 11 432 217 208 193 172 16 758
Beate Schlotter‐Weigel Germany 15 779 1.8× 338 1.6× 125 0.6× 240 1.2× 348 2.0× 24 1.3k
Emil Ylikallio Finland 20 952 2.2× 287 1.3× 144 0.7× 125 0.6× 134 0.8× 37 1.2k
Friederike Kirsch Germany 12 275 0.6× 106 0.5× 118 0.6× 149 0.8× 57 0.3× 13 683
Young Bin Hong South Korea 18 442 1.0× 542 2.5× 177 0.9× 161 0.8× 133 0.8× 56 994
Madoka Iida Japan 16 446 1.0× 354 1.6× 237 1.1× 87 0.5× 78 0.5× 41 847
Jik Nijssen Sweden 14 381 0.9× 142 0.7× 255 1.2× 61 0.3× 79 0.5× 24 731
Hidetoshi Date Japan 14 764 1.8× 546 2.5× 424 2.0× 150 0.8× 184 1.1× 20 1.2k
Peggy Allred United States 12 694 1.6× 267 1.2× 663 3.2× 124 0.6× 150 0.9× 18 1.4k
Nathalie Verpoorten Belgium 8 391 0.9× 526 2.4× 254 1.2× 327 1.7× 153 0.9× 9 1.0k
Tine Deconinck Belgium 17 376 0.9× 376 1.7× 107 0.5× 89 0.5× 50 0.3× 28 733

Countries citing papers authored by Khemissa Bejaoui

Since Specialization
Citations

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

Fields of papers citing papers by Khemissa Bejaoui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khemissa Bejaoui

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

All Works

16 of 16 papers shown
1.
Hughes, Susan, et al.. (2013). Family history and clefting as major criteria for CHARGE syndrome. American Journal of Medical Genetics Part A. 164(1). 48–53. 9 indexed citations
2.
Bejaoui, Khemissa & Loren A. Rolak. (2010). What is the risk of permanent disability from a multiple sclerosis relapse?. Neurology. 74(11). 900–902. 18 indexed citations
3.
Bejaoui, Khemissa, Yoshikazu Uchida, Satoshi Yasuda, et al.. (2002). Hereditary sensory neuropathy type 1 mutations confer dominant negative effects on serine palmitoyltransferase, critical for sphingolipid synthesis. Journal of Clinical Investigation. 110(9). 1301–1308. 67 indexed citations
4.
Bejaoui, Khemissa, Yoshikazu Uchida, Satoshi Yasuda, et al.. (2002). Hereditary sensory neuropathy type 1 mutations confer dominant negative effects on serine palmitoyltransferase, critical for sphingolipid synthesis. Journal of Clinical Investigation. 110(9). 1301–1308. 6 indexed citations
5.
Bejaoui, Khemissa, Yoshikazu Uchida, Satoshi Yasuda, et al.. (2002). Hereditary sensory neuropathy type 1 mutations confer dominant negative effects on serine palmitoyltransferase, critical for sphingolipid synthesis. Journal of Clinical Investigation. 110(9). 1301–1308. 68 indexed citations
6.
Bejaoui, Khemissa, Chenyan Wu, Margaret Scheffler, et al.. (2001). SPTLC1 is mutated in hereditary sensory neuropathy, type 1. Nature Genetics. 27(3). 261–262. 218 indexed citations
7.
Bejaoui, Khemissa, D. McKenna‐Yasek, Betsy A. Hosler, et al.. (1999). Confirmation of linkage of type 1 hereditary sensory neuropathy to human chromosome 9q22. Neurology. 52(3). 510–510. 22 indexed citations
8.
Liu, Jing, Chenyan Wu, Khemissa Bejaoui, et al.. (1998). Generation of a 3-Mb PAC Contig Spanning the Miyoshi Myopathy/Limb-Girdle Muscular Dystrophy (MM/LGMD2B) Locus on Chromosome 2p13. Genomics. 49(1). 23–29. 13 indexed citations
9.
Bejaoui, Khemissa, Jie Liu, D. McKenna‐Yasek, et al.. (1998). Genetic fine mapping of the Miyoshi myopathy locus and exclusion of eight candidate genes. Neurogenetics. 1(3). 189–196. 6 indexed citations
10.
Hosler, Betsy A., Peter C. Sapp, Ralph Berger, et al.. (1998). Refined mapping and characterization of the recessive familial amyotrophic lateral sclerosis locus ( ALS2 ) on chromosome 2q33. Neurogenetics. 2(1). 34–42. 21 indexed citations
11.
Bejaoui, Khemissa, Koichi Hirabayashi, Fayçal Hentati, et al.. (1995). Linkage of Miyoshi myopathy (distal autosomal recessive muscular dystrophy) locus to chromosome 2p12-14. Neurology. 45(4). 768–772. 112 indexed citations
12.
Hamida, Christiane Ben, Nadia Soussi‐Yanicostas, Khemissa Bejaoui, et al.. (1994). Expression of myosin isoforms and of desmin, vimentin and titin in Tunisian Duchenne-like autosomal recessive muscular dystrophy. Journal of the Neurological Sciences. 123(1-2). 114–121. 4 indexed citations
13.
Hentati, Afif, Khemissa Bejaoui, Margaret A. Pericak‐Vance, et al.. (1994). Linkage of recessive familial amyotrophic lateral sclerosis to chromosome 2q33–q35. Nature Genetics. 7(3). 425–428. 164 indexed citations
14.
Hamida, Christiane Ben, Nadia Soussi‐Yanicostas, Gillian Butler‐Browne, et al.. (1994). Biochemical and immunocytochemical analysis in chronic proximal spinal muscular atrophy. Muscle & Nerve. 17(4). 400–410. 7 indexed citations
15.
Soussi‐Yanicostas, Nadia, C. Ben Hamida, Khemissa Bejaoui, et al.. (1992). Evolution of muscle specific proteins in Werdnig-Hoffman's disease. Journal of the Neurological Sciences. 109(1). 111–120. 13 indexed citations
16.
Soussi‐Yanicostas, Nadia, Christiane Ben Hamida, Gillian Butler‐Browne, et al.. (1991). Modification in the expression and localization of contractile and cytoskeletal proteins in Schwartz-Jampel syndrome. Journal of the Neurological Sciences. 104(1). 64–73. 10 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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