Volker Huppert

39 total papers · 1.1k total citations
23 papers, 839 citations indexed

About

Volker Huppert is a scholar working on Oncology, Immunology and Hematology. According to data from OpenAlex, Volker Huppert has authored 23 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 17 papers in Immunology and 5 papers in Hematology. Recurrent topics in Volker Huppert's work include CAR-T cell therapy research (18 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (11 papers). Volker Huppert is often cited by papers focused on CAR-T cell therapy research (18 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (11 papers). Volker Huppert collaborates with scholars based in Germany, United States and Italy. Volker Huppert's co-authors include Markus Granzin, Adelheid Cerwenka, Evelyn Ullrich, Juliane Wagner, Ulrike Köhl, Richard Childs, Ulrike Koehl, Rupert Handgretinger, Lubomir Arseniev and Axel Schambach and has published in prestigious journals such as Blood, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Volker Huppert

21 papers receiving 825 citations

Author Peers

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

Author Last Decade Papers Cites
Volker Huppert 641 549 236 136 73 23 839
Yannick Willemen 669 1.0× 437 0.8× 170 0.7× 249 1.8× 36 0.5× 29 938
Mobin Karimi 520 0.8× 412 0.8× 198 0.8× 289 2.1× 71 1.0× 32 919
Jessica Sachs 496 0.8× 440 0.8× 206 0.9× 112 0.8× 162 2.2× 23 786
Erik Ames 739 1.2× 487 0.9× 160 0.7× 177 1.3× 38 0.5× 25 960
Christopher S. Seet 404 0.6× 357 0.7× 183 0.8× 435 3.2× 72 1.0× 33 882
Caroline Arber 339 0.5× 492 0.9× 115 0.5× 232 1.7× 164 2.2× 30 743
Alice Pievani 497 0.8× 438 0.8× 263 1.1× 202 1.5× 100 1.4× 34 908
Petja Lefterova 784 1.2× 642 1.2× 141 0.6× 151 1.1× 105 1.4× 19 950
Mireya Paulina Velasquez 267 0.4× 577 1.1× 155 0.7× 216 1.6× 156 2.1× 42 771
Monika Füssel 400 0.6× 361 0.7× 234 1.0× 204 1.5× 65 0.9× 17 780

Countries citing papers authored by Volker Huppert

Since Specialization
Citations

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

Fields of papers citing papers by Volker Huppert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volker Huppert

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