Gabriele Pecher

74 total papers · 2.1k total citations
45 papers, 1.2k citations indexed

About

Gabriele Pecher is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Gabriele Pecher has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 15 papers in Oncology and 14 papers in Molecular Biology. Recurrent topics in Gabriele Pecher's work include Immunotherapy and Immune Responses (21 papers), Immune Cell Function and Interaction (17 papers) and CAR-T cell therapy research (9 papers). Gabriele Pecher is often cited by papers focused on Immunotherapy and Immune Responses (21 papers), Immune Cell Function and Interaction (17 papers) and CAR-T cell therapy research (9 papers). Gabriele Pecher collaborates with scholars based in Germany, United States and Lithuania. Gabriele Pecher's co-authors include Olivera J. Finn, Richard S. Metzgar, J D Fontenot, Martin Raftery, Thomas Schirrmann, Keith R. Jerome, Eckhard Thiel, Simon M. Barratt‐Boyes, J. Magarian Blander and Robert Henderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Biochemical and Biophysical Research Communications.

In The Last Decade

Gabriele Pecher

43 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Gabriele Pecher 807 590 553 316 113 45 1.2k
Eric von Hofe 651 0.8× 747 1.3× 514 0.9× 212 0.7× 87 0.8× 63 1.5k
Heiko Schuster 835 1.0× 798 1.4× 536 1.0× 235 0.7× 68 0.6× 46 1.4k
Lee Kim Swee 782 1.0× 486 0.8× 241 0.4× 215 0.7× 88 0.8× 27 1.4k
Arthur K. Kimura 690 0.9× 454 0.8× 199 0.4× 289 0.9× 67 0.6× 41 1.2k
Stephanie Brändlein 750 0.9× 666 1.1× 336 0.6× 455 1.4× 78 0.7× 46 1.5k
John McKolanis 677 0.8× 387 0.7× 558 1.0× 168 0.5× 57 0.5× 32 1.1k
Pablo Oppezzo 635 0.8× 693 1.2× 144 0.3× 234 0.7× 90 0.8× 58 1.5k
Mehmet Kemal Tur 365 0.5× 628 1.1× 265 0.5× 390 1.2× 81 0.7× 43 1.1k
S. Funderud 562 0.7× 471 0.8× 188 0.3× 245 0.8× 110 1.0× 46 1.3k
J. Hilgers 576 0.7× 874 1.5× 336 0.6× 650 2.1× 72 0.6× 25 1.3k

Countries citing papers authored by Gabriele Pecher

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Pecher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Pecher

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