Anett Illing

1.9k citations
21 papers · 734 · h-index 14

Impact in

Papers in

    • Pluripotent Stem Cells Research 6
    • Renal and related cancers 5
    • CRISPR and Genetic Engineering 4
    • Cannabis and Cannabinoid Research 2
    • Pharmacogenetics and Drug Metabolism 2

Anett Illing

21 papers receiving 715 citations

Peers

Anett Illing
Comparison fields: 5 of 84
  • Immunology 194
  • Behavioral Neuroscience 29
  • Dermatology 62
  • Endocrinology, Diabetes and Metabolism 98
  • Pharmacology 42
Replace Eio Koh with:
Eio Koh Japan
Min Lin China
Anne Mathieu Belgium
Kwang Seok Kim South Korea
Nathalie Filippa France
Robert X.-D. Song United States
Anja Krones‐Herzig Germany
Sandra A. Kerner United States
Petra Koza‐Taylor United States
Anett Illing relative to Eio Koh Japan Eio Koh's profile →
Citations per field
00.5×7.3×
Eio Koh · 1×
Citations per year

Countries citing papers authored by Anett Illing

Since Specialization
Citations

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

Fields of papers citing papers by Anett Illing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007212
2
Macrophages and neutrophils are the targets for immune suppression by glucocorticoids in contact allergy
2007204
3 198142
4 201541
5 201629
6 201229
7 197629
8 201319
9 201219
10 201618
11 201317
12 201116
13 201614
14 201313
15 20169
16 20178
17 20144
18 20164
19 19744
20 19812

About Anett Illing

Anett Illing is a scholar working on Molecular Biology, Pharmacology, Oncology, Pharmacology and Electrical and Electronic Engineering, having authored 21 papers that have together received 734 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Renal and related cancers (5 papers), CRISPR and Genetic Engineering (4 papers), Cannabis and Cannabinoid Research (2 papers), Cancer Cells and Metastasis (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Energy Harvesting in Wireless Networks (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Immunology (194 citations), Behavioral Neuroscience (29 citations), Dermatology (62 citations), Endocrinology, Diabetes and Metabolism (98 citations) and Pharmacology (42 citations). Anett Illing has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Jan Tuckermann, Rainer Spanbroek, Richard Moriggl, François Tronche, Andreas J. R. Habenicht, Björn E. Clausen, Brenda D. Stride, Holger M. Reichardt, Anna Kleiman and Anita Neumann. Their work appears in journals such as Biochemical Pharmacology, Oncogene, Stem Cell Research, United European Gastroenterology Journal and PLoS ONE.

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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