Tala Shekarian

51 total papers · 2.0k total citations
15 papers, 1.2k citations indexed

About

Tala Shekarian is a scholar working on Immunology, Oncology and Neurology. According to data from OpenAlex, Tala Shekarian has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Oncology and 5 papers in Neurology. Recurrent topics in Tala Shekarian's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Immune cells in cancer (5 papers) and CAR-T cell therapy research (3 papers). Tala Shekarian is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Immune cells in cancer (5 papers) and CAR-T cell therapy research (3 papers). Tala Shekarian collaborates with scholars based in Switzerland, France and United States. Tala Shekarian's co-authors include Christophe Caux, Sandrine Valsesia‐Wittmann, Stéphane Depil, Sebastián Amigorena, Paola Bonaventura, Jenny Valladeau‐Guilemond, Vincent Alcazer, Aurélien Marabelle, Joshua Brody and Gregor Hütter and has published in prestigious journals such as Annals of Oncology, Science Translational Medicine and Frontiers in Immunology.

In The Last Decade

Tala Shekarian

14 papers receiving 1.2k citations

Hit Papers

Cold Tumors: A Therapeuti... 2019 2026 2021 2023 2019 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Tala Shekarian 691 673 337 165 152 15 1.2k
Lucy Boyce Kennedy 476 0.7× 707 1.1× 340 1.0× 191 1.2× 234 1.5× 20 1.3k
Inmaculada Rodríguez 983 1.4× 1.0k 1.5× 281 0.8× 94 0.6× 112 0.7× 24 1.5k
Sreekumar Balan 991 1.4× 540 0.8× 431 1.3× 173 1.0× 79 0.5× 13 1.3k
Zhichen Sun 820 1.2× 632 0.9× 449 1.3× 185 1.1× 70 0.5× 32 1.4k
Charlie Starnes 406 0.6× 566 0.8× 388 1.2× 88 0.5× 107 0.7× 16 1.1k
Jean-Pierre Abastado 875 1.3× 717 1.1× 420 1.2× 66 0.4× 107 0.7× 19 1.4k
Simone Gaedicke 353 0.5× 495 0.7× 360 1.1× 140 0.8× 106 0.7× 27 1.0k
Briana G. Nixon 558 0.8× 517 0.8× 494 1.5× 68 0.4× 208 1.4× 18 1.3k
Evelyne Zeira 398 0.6× 511 0.8× 430 1.3× 112 0.7× 101 0.7× 21 1.3k
Todd Bartkowiak 634 0.9× 510 0.8× 232 0.7× 87 0.5× 95 0.6× 21 955

Countries citing papers authored by Tala Shekarian

Since Specialization
Citations

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

Fields of papers citing papers by Tala Shekarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tala Shekarian

This figure shows the co-authorship network connecting the top 25 collaborators of Tala Shekarian. A scholar is included among the top collaborators of Tala Shekarian 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 Tala Shekarian. Tala Shekarian 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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