Daniel Rohrer

2.5k citations
27 papers · 2.1k · h-index 18

Impact in

Papers in

    • Receptor Mechanisms and Signaling 10
    • Ion channel regulation and function 4
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 3

Daniel Rohrer

27 papers receiving 2.0k citations

Peers

Daniel Rohrer
Comparison fields: 5 of 102
  • Cellular and Molecular Neuroscience 634
  • Sensory Systems 123
  • Cardiology and Cardiovascular Medicine 380
  • Molecular Biology 1.2k
  • Physiology 377
Replace Sushil K. Mahata with:
Sushil K. Mahata United States
Vytenis Arvydas Skeberdis Lithuania
Hemin Chin United States
Adrian J. Butcher United Kingdom
Nathalie Strutz‐Seebohm Germany
Takeo Awaji Japan
Wanhong Liu China
Taku Asano Japan
Mica Ohara‐Imaizumi Japan
Caroline Dart United Kingdom
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Citations per field
00.5×4.2×
Sushil K. Mahata · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Rohrer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Rohrer Line = papers co-authored together Daniel Rohrer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999290
2 1999288
3 1999244
4 2004224
5 1988199
6 1991135
7 2007105
8 199893
9 199870
10 199065
11 201960
12 199859
13 199240
14 202040
15 199839
16 202229
17 199720
18 202020
19
Targeted Disruption of the b2 Adrenergic Receptor Gene
199912
20 20228

About Daniel Rohrer

Daniel Rohrer is a scholar working on Molecular Biology, Immunology, Epidemiology, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Influenza Virus Research Studies (7 papers), T-cell and B-cell Immunology (5 papers), Pharmacological Effects and Assays (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Adipose Tissue and Metabolism (4 papers), Ion channel regulation and function (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (634 citations), Sensory Systems (123 citations), Cardiology and Cardiovascular Medicine (380 citations), Molecular Biology (1.2k citations) and Physiology (377 citations). Daniel Rohrer has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Brian K. Kobilka, Wolfgang Dillmann, Andrzej Chruscinski, Eric Schauble, Daniel Bernstein, Kavin Desai, R. Hartong, Danny G. Winder, Isabel A. Muzzio and Eric R. Kandel. Their work appears in journals such as Journal of Biological Chemistry, Cell Reports, Immunity, The Annual Review of Pharmacology and Toxicology and Nature Methods.

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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