Roland Elling

29 papers receiving 766 citations

Peers

Roland Elling
Comparison fields: 5 of 88
  • Cancer Research 224
  • Immunology 163
  • Oncology 167
  • Infectious Diseases 100
  • Microbiology 26
Replace Seyed Younes Hosseini with:
Seyed Younes Hosseini Iran
Narayanan Sathish India
Françoise Stoll‐Keller France
Yong Soo Seo South Korea
Basile Siewe United States
Emily Wong United States
Jonas Michel Wolf Brazil
Maria Blasi United States
José Miguel Azevedo‐Pereira Portugal
Gayle M. Boxx United States
Roland Elling relative to Seyed Younes Hosseini Iran Seyed Younes Hosseini's profile →
Citations per field
00.5×4.4×
Seyed Younes Hosseini · 1×
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 2011163
2 2016106
3 201590
4 201872
5 201744
6 202042
7 201828
8 202124
9 201424
10 202022
11 201322
12 202021
13 201620
14 201517
15 202212
16 201911
17 20208
18 20157
19 20217
20 20226

About Roland Elling

Roland Elling is a scholar working on Immunology, Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology and Epidemiology, having authored 30 papers that have together received 773 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), COVID-19 Clinical Research Studies (5 papers), Streptococcal Infections and Treatments (4 papers), Neonatal and Maternal Infections (3 papers), Pneumonia and Respiratory Infections (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cancer Research (224 citations), Immunology (163 citations), Oncology (167 citations), Infectious Diseases (100 citations) and Microbiology (26 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, Eva‐B. Bröcker, Johannes Grimm, Sonja Hesbacher and Christian Adam. Their work appears in journals such as The Journal of Immunology, Frontiers in Pediatrics, PEDIATRICS, The Pediatric Infectious Disease Journal and PLoS Medicine.

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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