Khaled Lasram

432 citations
14 papers · 204 · h-index 9

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 3
    • Metabolism, Diabetes, and Cancer 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Genetic Associations and Epidemiology 4
    • Forensic and Genetic Research 3

Khaled Lasram

14 papers receiving 197 citations

Peers

Khaled Lasram
Comparison fields: 5 of 61
  • Genetics 99
  • Endocrinology, Diabetes and Metabolism 50
  • Clinical Biochemistry 15
  • Molecular Biology 92
  • Cancer Research 20
Replace Sayumi Toriyama with:
Sayumi Toriyama Japan
M. V. Kranthi Kumar India
Ilana Blech Israel
Tamás Oroszlán Hungary
Carlos Knopf Israel
Е. В. Шахтшнейдер Russia
Yulia A. Nasykhova Russia
Janne Pott Germany
Emioli Randazzo Italy
Л. А. Суплотова Russia
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Citations per field
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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 201625
4 201323
5 201423
6 201315
7 201413
8 201513
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, Epidemiology, Surgery and Clinical Biochemistry, having authored 14 papers that have together received 204 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Forensic and Genetic Research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Pancreatic function and diabetes (2 papers), Metabolism and Genetic Disorders (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Genetics (99 citations), Endocrinology, Diabetes and Metabolism (50 citations), Clinical Biochemistry (15 citations), Molecular Biology (92 citations) and Cancer Research (20 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, Annals of Human Biology, Annals of Human Genetics, BioMed Research International and Archives of Dermatological Research.

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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