Tim Schnyder

418 total citations
9 papers, 286 citations indexed

About

Tim Schnyder is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Tim Schnyder has authored 9 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Tim Schnyder's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and CAR-T cell therapy research (3 papers). Tim Schnyder is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and CAR-T cell therapy research (3 papers). Tim Schnyder collaborates with scholars based in Germany, United Kingdom and Netherlands. Tim Schnyder's co-authors include Henning Urlaub, Michael Engelke, Thomas Oellerich, Facundo D. Batista, Jürgen Wienands, Naomi E. Harwood, Andreas Bruckbauer, Konstantin Neumann, Hanibal Bohnenberger and Karsten Köhler and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Immunity.

In The Last Decade

Tim Schnyder

9 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Schnyder Germany	7	214	79	55	33	29	9	286
Amandine Sansoni France	6	413 1.9×	106 1.3×	115 2.1×	21 0.6×	20 0.7×	7	476
Sophie Duchez France	9	218 1.0×	90 1.1×	55 1.0×	29 0.9×	46 1.6×	12	316
Hoang Tran United States	4	91 0.4×	80 1.0×	36 0.7×	15 0.5×	41 1.4×	7	193
Maris Handley United States	6	184 0.9×	115 1.5×	74 1.3×	29 0.9×	37 1.3×	7	298
Masashi Matsuda Japan	7	125 0.6×	140 1.8×	58 1.1×	12 0.4×	47 1.6×	14	297
Dalal El‐Khoury United States	8	514 2.4×	126 1.6×	131 2.4×	15 0.5×	27 0.9×	11	607
Jason J. Coughlin Canada	7	162 0.8×	153 1.9×	56 1.0×	40 1.2×	11 0.4×	7	347
Alice C. N. Brown United Kingdom	7	171 0.8×	138 1.7×	50 0.9×	52 1.6×	10 0.3×	8	339
Miriam Wöhner Austria	8	242 1.1×	183 2.3×	39 0.7×	16 0.5×	46 1.6×	13	350
Kathrin Gollmer Switzerland	7	139 0.6×	91 1.2×	75 1.4×	15 0.5×	6 0.2×	11	235

Countries citing papers authored by Tim Schnyder

Since Specialization

Citations

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

Fields of papers citing papers by Tim Schnyder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Schnyder

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Merz, Christian J., Jaromir Sykora, Viola Marschall, et al.. (2018). The Hexavalent CD40 Agonist HERA-CD40L Induces T-Cell–mediated Antitumor Immune Response Through Activation of Antigen-presenting Cells. Journal of Immunotherapy. 41(9). 385–398. 21 indexed citations

2.

Thiemann, Meinolf, David M. Richards, Michael Kluge, et al.. (2018). A Single-Chain-Based Hexavalent CD27 Agonist Enhances T Cell Activation and Induces Anti-Tumor Immunity. Frontiers in Oncology. 8. 387–387. 17 indexed citations

3.

Oellerich, Thomas, Tim Schnyder, Konstantin Neumann, et al.. (2016). The Dok‐3/Grb2 adaptor module promotes inducible association of the lipid phosphatase SHIP with the BCR in a coreceptor‐independent manner. European Journal of Immunology. 46(11). 2520–2530. 14 indexed citations

4.

Oellerich, Thomas, Tim Schnyder, Hanibal Bohnenberger, et al.. (2012). The Dok-3/Grb2 Protein Signal Module Attenuates Lyn Kinase-dependent Activation of Syk Kinase in B Cell Antigen Receptor Microclusters. Journal of Biological Chemistry. 288(4). 2303–2313. 15 indexed citations

5.

Schnyder, Tim, Naomi E. Harwood, Thomas Oellerich, et al.. (2011). B Cell Receptor-Mediated Antigen Gathering Requires Ubiquitin Ligase Cbl and Adaptors Grb2 and Dok-3 to Recruit Dynein to the Signaling Microcluster. Immunity. 34(6). 905–918. 75 indexed citations

6.

Oellerich, Thomas, Konstantin Neumann, Hanibal Bohnenberger, et al.. (2011). The B-cell antigen receptor signals through a preformed transducer module of SLP65 and CIN85. The EMBO Journal. 30(17). 3620–3634. 58 indexed citations

7.

Oellerich, Thomas, Konstantin Neumann, Hanibal Bohnenberger, et al.. (2011). Supplementary Movie 1. 2 indexed citations

8.

Culley, Fiona J., M. J. Johnson, Sunil Kumar, et al.. (2009). Natural Killer Cell Signal Integration Balances Synapse Symmetry and Migration. PLoS Biology. 7(7). e1000159–e1000159. 83 indexed citations

9.

Schnyder, Tim. (1969). [Restoration of immunological functions following thymus irradiation in radiation chimera].. PubMed. 137(5). 578–95. 1 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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