Ingo Röhl

6.7k citations
9 papers · 2.0k · 1 hit paper · h-index 8

Impact in

  • Immunology top 2%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Viral Infections and Vectors

Papers in

Ingo Röhl

9 papers receiving 2.0k citations

Ingo Röhl's Hit Papers

cGAS produces a 2′-5′-linked cyclic dinucleotide second messenger that activates STING 2013 · 1.3k citations
1.3k0+4+8Years since publication4008001.2k

Peers

Ingo Röhl
Comparison fields: 5 of 92
  • Immunology 1.2k
  • Infectious Diseases 442
  • Molecular Biology 1.1k
  • Virology 66
  • Cancer Research 148
Replace Tobias Deimling with:
Tobias Deimling Germany
Marion Goldeck Germany
Keh-Chuang Chin United States
Chen Zhao China
Anette Stryhn Denmark
Jana M. Ellegast United States
Artem A. Serganov United States
Sofía Casares United States
Heping Shi United States
Beihua Dong United States
Ingo Röhl relative to Tobias Deimling Germany Tobias Deimling's profile →
Citations per field
00.5×1.5×
Tobias Deimling · 1×
Citations per year

Countries citing papers authored by Ingo Röhl

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Röhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ingo Röhl, 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 Ingo Röhl Line = papers co-authored together Ingo Röhl links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
cGAS produces a 2′-5′-linked cyclic dinucleotide second messenger that activates STING
Hit paper breakdown →
20131312
2 2009283
3 2008125
4 2012102
5 200877
6 201353
7 199932
8 201427
9 20033

About Ingo Röhl

Ingo Röhl is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Virology, Oceanography and Ecology, having authored 9 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), RNA Interference and Gene Delivery (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Malaria Research and Control (2 papers), Marine Biology and Ecology Research (1 paper), Toxoplasma gondii Research Studies (1 paper), Hepatitis B Virus Studies (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Immunology (1.2k citations), Infectious Diseases (442 citations), Molecular Biology (1.1k citations), Virology (66 citations) and Cancer Research (148 citations). Ingo Röhl has collaborated with scholars based in Germany, United States and Portugal. Frequent co-authors include Karl‐Peter Hopfner, Andrea Ablasser, Tobias Deimling, Marion Goldeck, Taner Cavlar, János Ludwig, Veit Hornung, Gregor Witte, Akin Akinc and Victor Koteliansky. Their work appears in journals such as The Journal of Organic Chemistry, Cell Host & Microbe, Molecular Therapy — Nucleic Acids, Nucleosides Nucleotides & Nucleic Acids and PLoS Pathogens.

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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