Abderrahmane Tagmount

51 total papers · 1.1k total citations
31 papers, 759 citations indexed

About

Abderrahmane Tagmount is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Abderrahmane Tagmount has authored 31 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Hematology and 4 papers in Immunology. Recurrent topics in Abderrahmane Tagmount's work include CRISPR and Genetic Engineering (10 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Abderrahmane Tagmount is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Abderrahmane Tagmount collaborates with scholars based in United States, France and Russia. Abderrahmane Tagmount's co-authors include Jonathon H. Stillman, Chris D. Vulpe, Antje Berken, Norman Terry, Amin Sobh, Bruno Touraine, J. John Vidmar, Nicole Cathala, A. Bervillé and P. Baradat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and ACS Nano.

In The Last Decade

Abderrahmane Tagmount

27 papers receiving 745 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Abderrahmane Tagmount 278 135 116 112 90 31 759
Maria Cristina Munteanu 195 0.7× 109 0.8× 83 0.7× 132 1.2× 40 0.4× 33 741
D Hulanicka 436 1.6× 163 1.2× 97 0.8× 50 0.4× 96 1.1× 39 809
Hans-Günter Schlegel 327 1.2× 112 0.8× 86 0.7× 214 1.9× 84 0.9× 28 775
Soufian Ouchane 510 1.8× 82 0.6× 71 0.6× 66 0.6× 156 1.7× 37 802
Guang Zhao 280 1.0× 106 0.8× 82 0.7× 126 1.1× 23 0.3× 31 707
N. N. Rao 462 1.7× 105 0.8× 71 0.6× 52 0.5× 100 1.1× 17 882
S. Rider 287 1.0× 73 0.5× 48 0.4× 158 1.4× 84 0.9× 18 874
Werner Staudenmann 496 1.8× 90 0.7× 68 0.6× 47 0.4× 51 0.6× 24 790
Weiping Shi 393 1.4× 150 1.1× 47 0.4× 114 1.0× 26 0.3× 15 852
Sabrina Lignon 399 1.4× 101 0.7× 84 0.7× 55 0.5× 86 1.0× 23 784

Countries citing papers authored by Abderrahmane Tagmount

Since Specialization
Citations

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

Fields of papers citing papers by Abderrahmane Tagmount

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abderrahmane Tagmount

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

All Works

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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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