Lakhdar Gasmi

490 citations
14 papers · 413 indexed · h-index 11
  • Physiology top 5%
    • Adenosine and Purinergic Signaling 5
    • Calcium signaling and nucleotide metabolism 3
    • Metabolism and Genetic Disorders 2
    • Neurological diseases and metabolism 3
    • Biochemical and Molecular Research 5
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
    • Immune Response and Inflammation 2
    • Immune cells in cancer 2

Lakhdar Gasmi

14 papers receiving 406 citations

Peers

Lakhdar Gasmi
Comparison fields: 5 of 64
  • Physiology 108
  • Clinical Biochemistry 62
  • Neurology 56
  • Molecular Biology 295
  • Biochemistry 19
Replace Nancy E. Go with:
Nancy E. Go Canada
Hui-fen Zheng China
Eri Asai Japan
Ateesh Sidhu United Kingdom
J Kreysing Germany
Waka Kojima Japan
Thomas Ramming Switzerland
Qingzhou Chen China
Kristina E. Ile United States
Stephanie R Murphy United States
Lakhdar Gasmi relative to Nancy E. Go Canada Nancy E. Go's profile →
Citations per field
00.5×5.6×
Nancy E. Go · 1×
Citations per year

Countries citing papers authored by Lakhdar Gasmi

Since Specialization
Citations

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

Fields of papers citing papers by Lakhdar Gasmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Lakhdar Gasmi, 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 Lakhdar Gasmi Line = papers co-authored together Lakhdar Gasmi links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20223
2 200610
3 200238
4 200173
5 200155
6 200135
7 200053
8 199921
9 199950
10 199820
11 199716
12 199722
13 199615
14 19962

About Lakhdar Gasmi

Lakhdar Gasmi is a scholar working on Physiology, Neurology and Clinical Biochemistry, having authored 14 papers that have together received 413 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (5 papers), Biochemical and Molecular Research (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Neurological diseases and metabolism (3 papers), Calcium signaling and nucleotide metabolism (3 papers), Immune Response and Inflammation (2 papers), Metabolism and Genetic Disorders (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Physiology (108 citations), Clinical Biochemistry (62 citations) and Neurology (56 citations). Lakhdar Gasmi has collaborated with scholars based in United Kingdom, Algeria and China. Frequent co-authors include Alexander G. McLennan, Jared Cartwright, Steven W. Edwards, David G. Spiller, Fiona L. Watson, Scott Bailey, John B. Rafferty, Ying Kang, Yumin Mao and Rong Tang. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Annals of the New York Academy of Sciences.

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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