Samir Taga

545 total citations
9 papers, 462 citations indexed

About

Samir Taga is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Samir Taga has authored 9 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Physiology. Recurrent topics in Samir Taga's work include Immune Cell Function and Interaction (5 papers), Glycosylation and Glycoproteins Research (2 papers) and Adenosine and Purinergic Signaling (2 papers). Samir Taga is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Glycosylation and Glycoproteins Research (2 papers) and Adenosine and Purinergic Signaling (2 papers). Samir Taga collaborates with scholars based in France, Sweden and Denmark. Samir Taga's co-authors include Joëlle Wiels, Marianne Mangeney, Thomas Tursz, Bernard Caillou, Clifford A. Lingwood, Cécile Tétaud, Gabriel Gil‐Gómez, Mark Coles, Trisha Norton and Owen Williams and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and International Journal of Cancer.

In The Last Decade

Samir Taga

9 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samir Taga France	8	208	201	164	103	53	9	462
Oslo Garred Norway	6	144 0.7×	101 0.5×	111 0.7×	46 0.4×	22 0.4×	10	314
Irina Mirkina Austria	16	191 0.9×	308 1.5×	36 0.2×	45 0.4×	74 1.4×	26	590
Momka Bratoeva United States	10	257 1.2×	91 0.5×	51 0.3×	42 0.4×	11 0.2×	19	423
Cecelia L. Green United States	4	409 2.0×	122 0.6×	52 0.3×	24 0.2×	40 0.8×	5	590
Emilie Gobbo France	9	191 0.9×	100 0.5×	40 0.2×	37 0.4×	19 0.4×	15	369
Yaobin Liu United States	11	364 1.8×	125 0.6×	188 1.1×	16 0.2×	8 0.2×	15	614
Goutam Sen United States	17	208 1.0×	438 2.2×	17 0.1×	40 0.4×	15 0.3×	24	711
Mirjam Ketema Netherlands	7	482 2.3×	61 0.3×	35 0.2×	84 0.8×	25 0.5×	7	677
William W. Hwang United States	6	662 3.2×	115 0.6×	35 0.2×	319 3.1×	10 0.2×	6	998
Evgenij Fiškin Germany	11	733 3.5×	108 0.5×	53 0.3×	17 0.2×	16 0.3×	12	951

Countries citing papers authored by Samir Taga

Since Specialization

Citations

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

Fields of papers citing papers by Samir Taga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samir Taga

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

All Works

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9 of 9 papers shown

1.

Gil‐Gómez, Gabriel, Owen Williams, Mark Coles, et al.. (1999). Bad Can Act as a Key Regulator of T Cell Apoptosis and T Cell Development. The Journal of Experimental Medicine. 189(3). 575–586. 89 indexed citations

2.

Taga, Samir, Zohair Mishal, Corinne Capoulade, et al.. (1997). Intracellular Signaling Events in CD77-Mediated Apoptosis of Burkitt's Lymphoma Cells. Blood. 90(7). 2757–2767. 82 indexed citations

3.

Taga, Samir, Zohair Mishal, Corinne Capoulade, et al.. (1997). Intracellular Signaling Events in CD77-Mediated Apoptosis of Burkitt's Lymphoma Cells. Blood. 90(7). 2757–2767. 10 indexed citations

4.

Wiels, Joëlle, et al.. (1996). Histo-blood group p: biosynthesis of globoseries glycolipids in EBV-transformed B cell lines. Glycoconjugate Journal. 13(4). 529–535. 2 indexed citations

5.

Taga, Samir, Marianne Mangeney, Thomas Tursz, & Joëlle Wiels. (1995). Differential regulation of glycosphingolipid biosynthesis in phenotypically distinct Burkitt's lymphoma cell lines. International Journal of Cancer. 61(2). 261–267. 18 indexed citations

6.

Taga, Samir, Cécile Tétaud, Marianne Mangeney, Thomas Tursz, & Joëlle Wiels. (1995). Sequential changes in glycolipid expression during human B cell differentiation: enzymatic bases. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1254(1). 56–65. 24 indexed citations

7.

Mangeney, Marianne, Germain Rousselet, Samir Taga, Thomas Tursz, & Joëlle Wiels. (1995). The fate of human CD77+ germinal center B lymphocytes after rescue from apoptosis. Molecular Immunology. 32(5). 333–339. 24 indexed citations

8.

Mangeney, Marianne, Clifford A. Lingwood, Samir Taga, et al.. (1993). Apoptosis induced in Burkitt's lymphoma cells via Gb3/CD77, a glycolipid antigen.. PubMed. 53(21). 5314–9. 206 indexed citations

9.

Mangeney, Marianne, Clifford A. Lingwood, Samir Taga, et al.. (1993). S3.5 Apoptosis of Burkitt's lymphoma cells via Gb3/CD77 a neutral glycolipid antigen. Glycoconjugate Journal. 10(4). 242–243. 7 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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