Gerhard Schäller

67 total papers · 4.6k total citations
48 papers, 1.0k citations indexed

About

Gerhard Schäller is a scholar working on Immunology, Molecular Biology and Plant Science. According to data from OpenAlex, Gerhard Schäller has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 11 papers in Molecular Biology and 10 papers in Plant Science. Recurrent topics in Gerhard Schäller's work include Toxin Mechanisms and Immunotoxins (12 papers), Particle Detector Development and Performance (9 papers) and Plant Parasitism and Resistance (9 papers). Gerhard Schäller is often cited by papers focused on Toxin Mechanisms and Immunotoxins (12 papers), Particle Detector Development and Performance (9 papers) and Plant Parasitism and Resistance (9 papers). Gerhard Schäller collaborates with scholars based in Germany, Italy and Switzerland. Gerhard Schäller's co-authors include Konrad Urech, H. Bühler, Ilka Fuchs, Liv Marit Rørvik, Anke Kleine-Tebbe, Hilde Kruse, Matteo Giannattasio, Keith McCarthy, Linmarie Ludeman and Robert Gornall and has published in prestigious journals such as Journal of Clinical Oncology, Biochemistry and Scientific Reports.

In The Last Decade

Gerhard Schäller

46 papers receiving 954 citations

Author Peers

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

Author						Papers	Cites
Gerhard Schäller	408	257	228	156	104	48	1.0k
Gaëlle Boulet	412 1.0×	83 0.3×	101 0.4×	47 0.3×	35 0.3×	36	1.1k
Pilar García–Peñarrubia	329 0.8×	596 2.3×	140 0.6×	39 0.3×	86 0.8×	61	1.1k
Sergo Kasvandik	688 1.7×	140 0.5×	32 0.1×	41 0.3×	65 0.6×	43	1.1k
Anand Srivastava	372 0.9×	268 1.0×	137 0.6×	82 0.5×	45 0.4×	61	1.1k
Peter Stanley	470 1.2×	143 0.6×	169 0.7×	23 0.1×	36 0.3×	17	1.1k
Georgina Cheng	310 0.8×	86 0.3×	132 0.6×	45 0.3×	43 0.4×	33	1.1k
Haihe Wang	846 2.1×	182 0.7×	197 0.9×	11 0.1×	71 0.7×	51	1.2k
Ali Akalin	261 0.6×	88 0.3×	131 0.6×	21 0.1×	34 0.3×	45	888
Thomas Mandel Clausen	552 1.4×	273 1.1×	153 0.7×	20 0.1×	31 0.3×	33	1.1k
Saman Soleimanpour	354 0.9×	165 0.6×	87 0.4×	37 0.2×	17 0.2×	55	951

Countries citing papers authored by Gerhard Schäller

Since Specialization

Citations

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

Fields of papers citing papers by Gerhard Schäller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Schäller

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