Roland Elling

1.9k citations
30 papers · 791 · h-index 15

Impact in

Papers in

    • Immune Response and Inflammation 5
    • interferon and immune responses 3
    • COVID-19 Clinical Research Studies 3
    • Viral Infections and Vectors 2

Roland Elling

29 papers receiving 785 citations

Peers

Roland Elling
Comparison fields: 5 of 86
  • Cancer Research 210
  • Immunology 155
  • Oncology 168
  • Microbiology 26
  • Infectious Diseases 71
Replace Wei Hou with:
Wei Hou China
Frank Michel United States
Katharina Eisenächer Germany
Remzi Onur Eren Switzerland
Stefan Dreher Germany
Junji Uehori Japan
Michael E. D’Angelo Australia
Carl‐Michael Nathanson United States
Roland Elling relative to Wei Hou China Wei Hou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Roland Elling

Since Specialization
Citations

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

Fields of papers citing papers by Roland Elling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011165
2 2016107
3 201591
4 201872
5 201746
6 202043
7 201829
8 202124
9 201424
10 202023
11 202022
12 201322
13 201621
14 201518
15 202214
16 201912
17 20209
18 20218
19 20157
20 20226

About Roland Elling

Roland Elling is a scholar working on Immunology, Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology and Cancer Research, having authored 30 papers that have together received 791 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Streptococcal Infections and Treatments (3 papers), interferon and immune responses (3 papers), Neonatal and Maternal Infections (3 papers), COVID-19 Clinical Research Studies (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Cancer Research (210 citations), Immunology (155 citations), Oncology (168 citations), Microbiology (26 citations) and Infectious Diseases (71 citations). Roland Elling has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Katherine A. Fitzgerald, Jennie Chan, Philipp Henneke, Daniel R. Caffrey, Zhaozhao Jiang, Markus Hufnagel, Stefanie Hauser, Roland Houben, Christian Adam and David Schrama. Their work appears in journals such as The Journal of Immunology, Frontiers in Pediatrics, PEDIATRICS, The Pediatric Infectious Disease Journal and Nature Communications.

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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