Daniel Rohrer

34 total papers · 2.5k total citations
27 papers, 1.9k citations indexed

About

Daniel Rohrer is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Daniel Rohrer has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Epidemiology. Recurrent topics in Daniel Rohrer's work include Receptor Mechanisms and Signaling (10 papers), Influenza Virus Research Studies (7 papers) and T-cell and B-cell Immunology (5 papers). Daniel Rohrer is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Influenza Virus Research Studies (7 papers) and T-cell and B-cell Immunology (5 papers). Daniel Rohrer collaborates with scholars based in United States, Germany and Switzerland. Daniel Rohrer's co-authors include Brian K. Kobilka, Wolfgang Dillmann, Andrzej Chruscinski, Daniel Bernstein, Eric Schauble, Kavin Desai, R. Hartong, Danny G. Winder, Isabel A. Muzzio and Kelsey C. Martin and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

In The Last Decade

Daniel Rohrer

27 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Rohrer 1.2k 618 378 373 212 27 1.9k
Adrian J. Butcher 1.7k 1.4× 1.0k 1.7× 244 0.6× 264 0.7× 145 0.7× 38 2.2k
Michèle Darmon 1.3k 1.1× 1.1k 1.7× 406 1.1× 397 1.1× 83 0.4× 50 3.2k
Christian Nanoff 1.9k 1.6× 1.2k 1.9× 179 0.5× 244 0.7× 70 0.3× 68 2.8k
Raimund I. Herzog 1.3k 1.0× 639 1.0× 221 0.6× 793 2.1× 252 1.2× 28 2.1k
Jeffrey R. Jasper 1.6k 1.3× 957 1.5× 337 0.9× 547 1.5× 198 0.9× 50 2.5k
Hemin Chin 2.1k 1.7× 1.2k 2.0× 941 2.5× 434 1.2× 134 0.6× 45 3.1k
Andrzej Chruscinski 1.1k 0.9× 686 1.1× 283 0.7× 372 1.0× 105 0.5× 42 2.1k
Ch. Owman 716 0.6× 497 0.8× 111 0.3× 261 0.7× 82 0.4× 44 1.7k
Masayasu Kojima 1.7k 1.4× 1.1k 1.7× 426 1.1× 802 2.2× 343 1.6× 11 3.0k
Andreas Breit 1.9k 1.6× 1.0k 1.7× 185 0.5× 308 0.8× 117 0.6× 54 2.9k

Countries citing papers authored by Daniel Rohrer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rohrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Rohrer

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