Jerome Samir

975 total citations
10 papers, 373 citations indexed

About

Jerome Samir is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Jerome Samir has authored 10 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Jerome Samir's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and CAR-T cell therapy research (5 papers). Jerome Samir is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and CAR-T cell therapy research (5 papers). Jerome Samir collaborates with scholars based in Australia, United Kingdom and United States. Jerome Samir's co-authors include Fabio Luciani, Can Keşmir, Meriem Attaf, Dmitry Bagaev, Dmitriy M. Chudakov, Renske M. A. Vroomans, Evgeny S. Egorov, Alexander Greenshields‐Watson, Ivan V. Zvyagin and Mikhail Shugay and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Jerome Samir

9 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jerome Samir Australia	7	264	189	112	58	29	10	373
Zachary Sethna United States	7	260 1.0×	167 0.9×	79 0.7×	107 1.8×	24 0.8×	9	370
Ulf Forssmann Germany	11	207 0.8×	189 1.0×	152 1.4×	104 1.8×	27 0.9×	24	409
Quentin Marcou France	6	334 1.3×	176 0.9×	75 0.7×	141 2.4×	23 0.8×	9	441
Evgeniy S. Egorov Russia	7	281 1.1×	125 0.7×	74 0.7×	59 1.0×	31 1.1×	8	374
Alexander Greenshields‐Watson United Kingdom	9	240 0.9×	207 1.1×	141 1.3×	74 1.3×	32 1.1×	17	410
Jinghua Wu China	12	286 1.1×	149 0.8×	124 1.1×	89 1.5×	46 1.6×	18	448
Karine Bernardeau France	14	246 0.9×	95 0.5×	96 0.9×	73 1.3×	25 0.9×	19	457
Bochao Zhang United States	9	249 0.9×	97 0.5×	52 0.5×	68 1.2×	25 0.9×	10	369
Nikoletta L. Kallinteris United States	13	369 1.4×	222 1.2×	186 1.7×	86 1.5×	31 1.1×	28	440
Clara Young Australia	7	383 1.5×	102 0.5×	46 0.4×	35 0.6×	34 1.2×	7	471

Countries citing papers authored by Jerome Samir

Since Specialization

Citations

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

Fields of papers citing papers by Jerome Samir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerome Samir

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

All Works

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10 of 10 papers shown

Samir, Jerome, et al.. (2024). Identification of clonally expanded γδ T‐cell populations during CAR‐T cell therapy. Immunology and Cell Biology. 103(1). 60–72.

Louie, Raymond H. Y., Curtis Cai, Jerome Samir, et al.. (2023). CAR+ and CAR− T cells share a differentiation trajectory into an NK-like subset after CD19 CAR T cell infusion in patients with B cell malignancies. Nature Communications. 14(1). 7767–7767. 18 indexed citations

Louie, Raymond H. Y., Curtis Cai, Jerome Samir, & Fabio Luciani. (2023). CAR+ and CAR- T cells share a differentiation trajectory into an NK-like subset after CD19 CAR-T cell infusion in patients with B cell malignancies. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Cai, Curtis, Jerome Samir, Thiruni Adikari, et al.. (2022). Identification of human progenitors of exhausted CD8+ T cells associated with elevated IFN-γ response in early phase of viral infection. Nature Communications. 13(1). 7543–7543. 14 indexed citations

Sullivan, Lucy C., Thi H. O. Nguyen, Christopher M. Harpur, et al.. (2021). Natural killer cell receptors regulate responses of HLA-E–restricted T cells. Science Immunology. 6(58). 17 indexed citations

Zhao, Yanran, Curtis Cai, Jerome Samir, et al.. (2021). Human CD8 T‐stem cell memory subsets phenotypic and functional characterization are defined by expression of CD122 or CXCR3. European Journal of Immunology. 51(7). 1732–1747. 9 indexed citations

Samir, Jerome, Simone Rizzetto, Money Gupta, & Fabio Luciani. (2020). Exploring and analysing single cell multi-omics data with VDJView. BMC Medical Genomics. 13(1). 29–29. 17 indexed citations

Rizzetto, Simone, et al.. (2019). Single-Cell Transcriptome Analysis of T Cells. Methods in molecular biology. 155–205. 2 indexed citations

Bagaev, Dmitry, Renske M. A. Vroomans, Jerome Samir, et al.. (2019). VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium. Nucleic Acids Research. 48(D1). D1057–D1062. 229 indexed citations

10.

Rizzetto, Simone, David Koppstein, Jerome Samir, et al.. (2018). B-cell receptor reconstruction from single-cell RNA-seq with VDJPuzzle. Bioinformatics. 34(16). 2846–2847. 66 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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