Khaled Lasram

436 citations
14 papers · 211 · h-index 9

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 3
    • RNA modifications and cancer 2
    • Glycosylation and Glycoproteins Research 1
    • Mitochondrial Function and Pathology 1
    • Forensic and Genetic Research 3
    • Genetic Associations and Epidemiology 2
    • Genetic diversity and population structure 2

Khaled Lasram

14 papers receiving 203 citations

Peers

Khaled Lasram
Comparison fields: 5 of 57
  • Genetics 78
  • Endocrinology, Diabetes and Metabolism 42
  • Clinical Biochemistry 13
  • Cancer Research 16
  • Molecular Biology 70
Replace M. V. Kranthi Kumar with:
M. V. Kranthi Kumar India
Emioli Randazzo Italy
Xuling Chang Singapore
Zammy Fairhurst-Hunter United Kingdom
Ricardo Gracia‐Bouthelier Spain
Varinderpal Kaur United States
Erica Gonzalez United States
Е. В. Шахтшнейдер Russia
Tamás Oroszlán Hungary
Khaled Lasram relative to M. V. Kranthi Kumar India M. V. Kranthi Kumar's profile →
Citations per field
00.5×1.5×
M. V. Kranthi Kumar · 1×
Citations per year

Countries citing papers authored by Khaled Lasram

Since Specialization
Citations

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

Fields of papers citing papers by Khaled Lasram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Khaled Lasram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Khaled Lasram Line = papers co-authored together Khaled Lasram links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201429
2 201428
3 201427
4 201625
5 201324
6 201515
7 201315
8 201413
9 201311
10 20137
11 20135
12 20185
13 20144
14 20133

About Khaled Lasram

Khaled Lasram is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Organic Chemistry, having authored 14 papers that have together received 211 indexed citations. Recurring topics across this work include Forensic and Genetic Research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Metabolism and Genetic Disorders (2 papers), Genetic Associations and Epidemiology (2 papers), RNA modifications and cancer (2 papers), Genetic diversity and population structure (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Genetics (78 citations), Endocrinology, Diabetes and Metabolism (42 citations), Clinical Biochemistry (13 citations), Cancer Research (16 citations) and Molecular Biology (70 citations). Khaled Lasram has collaborated with scholars based in Tunisia, Morocco and France. Frequent co-authors include Sonia Abdelhak, Rym Kéfi, Nizar Ben Halim, Lilia Romdhane, Abdelhamid Barakat, Houda Benrahma, Slim Ben Ammar, H. Jamoussi, Abdoulaye Samb and Abdelmajid Abid. Their work appears in journals such as Primary care diabetes, Metabolic Syndrome and Related Disorders, Annals of Human Genetics, Journal of Diabetes and Molecular Biology Reports.

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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