Samir Taga
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Immunology top 10%
- Immune Cell Function and Interaction
- Toxin Mechanisms and Immunotoxins
- T-cell and B-cell Immunology
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Sphingolipid Metabolism and Signaling 2
-
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 2
- Co-authors
- Thomas Tursz (7 shared papers)Joëlle Wiels (8 shared papers)Marianne Mangeney (7 shared papers)Clifford A. Lingwood (2 shared papers)Bernard Caillou (2 shared papers)Cécile Tétaud (3 shared papers)Trisha Norton (1 shared paper)Owen Williams (1 shared paper)
- Journals
- Blood (2 papers)Molecular Immunology (1 paper)International Journal of Cancer (1 paper)The Journal of Experimental Medicine (1 paper)Glycoconjugate Journal (2 papers)
- Partner nations
- FranceSwedenNetherlands
In The Last Decade
Samir Taga
9 papers receiving 456 citations
Peers
Comparison fields: 5 of 54
- Endocrinology 163
- Immunology 199
- Infectious Diseases 99
- Molecular Biology 205
- Biotechnology 26
Countries citing papers authored by Samir Taga
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
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-authors
The 20 scholars most cited alongside Samir Taga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Apoptosis induced in Burkitt's lymphoma cells via Gb3/CD77, a glycolipid antigen. | 1993 | 206 |
| 2 | 1999 | 89 | |
| 3 | 1997 | 82 | |
| 4 | 1995 | 24 | |
| 5 | 1995 | 24 | |
| 6 | 1995 | 18 | |
| 7 | 1997 | 10 | |
| 8 | 1993 | 7 | |
| 9 | 1996 | 2 |
About Samir Taga
Samir Taga is a scholar working on Molecular Biology, Immunology, Physiology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 9 papers that have together received 462 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Glycosylation and Glycoproteins Research (2 papers), Adenosine and Purinergic Signaling (2 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Endocrinology (163 citations), Immunology (199 citations), Infectious Diseases (99 citations), Molecular Biology (205 citations) and Biotechnology (26 citations). Samir Taga has collaborated with scholars based in France, Sweden and Netherlands. Frequent co-authors include Thomas Tursz, Joëlle Wiels, Marianne Mangeney, Clifford A. Lingwood, Bernard Caillou, Cécile Tétaud, Trisha Norton, Owen Williams, Dimitris Kioussis and Gabriel Gil‐Gómez. Their work appears in journals such as Blood, Molecular Immunology, International Journal of Cancer, The Journal of Experimental Medicine and Glycoconjugate Journal.
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.