Nicholas Tokarew

863 total citations · 1 hit paper
6 papers, 386 citations indexed

About

Nicholas Tokarew is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Nicholas Tokarew has authored 6 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Genetics. Recurrent topics in Nicholas Tokarew's work include CAR-T cell therapy research (4 papers), Hedgehog Signaling Pathway Studies (2 papers) and Nanowire Synthesis and Applications (2 papers). Nicholas Tokarew is often cited by papers focused on CAR-T cell therapy research (4 papers), Hedgehog Signaling Pathway Studies (2 papers) and Nanowire Synthesis and Applications (2 papers). Nicholas Tokarew collaborates with scholars based in Germany, Canada and Switzerland. Nicholas Tokarew's co-authors include Sebastian Kobold, Stefan Endres, Justyna Ogonek, Michael von Bergwelt‐Baildon, Bruno L. Cadilha, Christian Klein, Felicitas Rataj, Constanze Heise, Peter Duewell and Erwin van Puijenbroek and has published in prestigious journals such as The Journal of Immunology, Developmental Cell and British Journal of Cancer.

In The Last Decade

Nicholas Tokarew

6 papers receiving 381 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Teaching an old dog new tricks: next-generation CAR T cells

2018 329 citations Nicholas Tokarew, Justyna Ogonek et al. British Journal of Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Tokarew Germany	4	356	145	134	116	92	6	386
Sophia Stock Germany	9	337 0.9×	110 0.8×	121 0.9×	146 1.3×	97 1.1×	16	383
Daosheng Huang China	8	289 0.8×	115 0.8×	146 1.1×	187 1.6×	95 1.0×	12	464
Claudia Geldres United States	6	447 1.3×	179 1.2×	162 1.2×	158 1.4×	124 1.3×	8	489
Astrid Holzinger Germany	10	341 1.0×	99 0.7×	154 1.1×	132 1.1×	111 1.2×	13	393
Rashmika Patel United States	8	339 1.0×	120 0.8×	118 0.9×	134 1.2×	77 0.8×	14	404
Lisa S. Rolczynski United States	5	253 0.7×	105 0.7×	128 1.0×	103 0.9×	79 0.9×	5	328
Dennis Christoph Harrer Germany	10	329 0.9×	95 0.7×	175 1.3×	139 1.2×	97 1.1×	35	403
Nathaniel Dasyam New Zealand	5	305 0.9×	105 0.7×	126 0.9×	104 0.9×	83 0.9×	8	336
Jolanta Stefanski United States	7	353 1.0×	100 0.7×	164 1.2×	156 1.3×	140 1.5×	12	403
Sharon Yim United States	5	348 1.0×	120 0.8×	103 0.8×	99 0.9×	93 1.0×	7	396

Countries citing papers authored by Nicholas Tokarew

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Tokarew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Tokarew

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

All Works

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6 of 6 papers shown

1.

Evaristo, César, Xueting Wang, Nicholas Tokarew, et al.. (2024). Artificial Targets: a versatile cell-free platform to characterize CAR T cell function in vitro. The Journal of Immunology. 212(1_Supplement). 0713_6500–0713_6500. 1 indexed citations

2.

Tokarew, Nicholas, et al.. (2023). Meningeal macrophages inhibit chemokine signaling in pre-tumor cells to suppress mouse medulloblastoma initiation. Developmental Cell. 58(20). 2015–2031.e8. 7 indexed citations

3.

Tachibana, Nobuhiko, et al.. (2022). Three dimensional reconstruction of the mouse cerebellum in Hedgehog-driven medulloblastoma models to identify Norrin-dependent effects on preneoplasia. Communications Biology. 5(1). 569–569. 2 indexed citations

4.

Tokarew, Nicholas, et al.. (2022). Flow cytometry detection and quantification of CAR T cells into solid tumors. Methods in cell biology. 167. 99–122. 3 indexed citations

5.

Rataj, Felicitas, Stefan Stoiber, Justyna Ogonek, et al.. (2018). High-affinity CD16-polymorphism and Fc-engineered antibodies enable activity of CD16-chimeric antigen receptor-modified T cells for cancer therapy. British Journal of Cancer. 120(1). 79–87. 44 indexed citations

6.

Tokarew, Nicholas, Justyna Ogonek, Stefan Endres, Michael von Bergwelt‐Baildon, & Sebastian Kobold. (2018). Teaching an old dog new tricks: next-generation CAR T cells. British Journal of Cancer. 120(1). 26–37. 329 indexed citations breakdown →

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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