Edith Willscher

3.4k citations
45 papers · 1.4k · 1 hit paper · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Edith Willscher

44 papers receiving 1.4k citations

Edith Willscher's Hit Papers

The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19 2022 · 266 citations
2660+1+2Years since publication50100150200250

Peers

Edith Willscher
Comparison fields: 5 of 110
  • Cancer Research 270
  • Infectious Diseases 332
  • Neurology 259
  • Immunology 153
  • Molecular Biology 505
Replace Gabriele Di Sante with:
Gabriele Di Sante Italy
Jieying Zhang China
Zhenyu Li China
Yanhui Cui China
Hong-Long Ji United States
Peng Yan China
Astrid Hagelkrüys Austria
Yuanyuan Liu China
Chiara Elia Italy
Pankaj Ahluwalia United States
Edith Willscher relative to Gabriele Di Sante Italy Gabriele Di Sante's profile →
Citations per field
00.5×1.5×2.3×
Gabriele Di Sante · 1×
Citations per year

Countries citing papers authored by Edith Willscher

Since Specialization
Citations

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

Fields of papers citing papers by Edith Willscher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19
Hit paper breakdown →
2022266
2 2020212
3 2009115
4 2009109
5 201186
6 200764
7 201659
8 202253
9 201046
10 201645
11 202030
12 202028
13 201628
14 202126
15 201419
16 202017
17 201417
18 201815
19 202213
20 201913

About Edith Willscher

Edith Willscher is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Immunology and Oncology, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Single-cell and spatial transcriptomics (5 papers), Long-Term Effects of COVID-19 (4 papers), Glioma Diagnosis and Treatment (4 papers), Cancer Cells and Metastasis (3 papers), COVID-19 and Mental Health (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (270 citations), Infectious Diseases (332 citations), Neurology (259 citations), Immunology (153 citations) and Molecular Biology (505 citations). Edith Willscher has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Mascha Binder, Lisa Paschold, Christoph Schultheiß, Hans Binder, Mario Colombo‐Benkmann, Wolf Arif Mardin, N. Senninger, Soeren Torge Mees, Jochen Dutzmann and Daniel Sedding. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Hepatology Communications, Cancers and Haematologica.

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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