Clara Dees

85 papers receiving 6.6k citations

Clara Dees's Hit Papers

CD19-targeting CAR T-cell therapy in patients with diffuse systemic sclerosis: a case series 2024 · 74 citations
740+4+9Years since publication200400600

Peers

Clara Dees
Comparison fields: 5 of 100
  • Pathology and Forensic Medicine 2.6k
  • Hepatology 373
  • Rehabilitation 240
  • Pulmonary and Respiratory Medicine 773
  • Rheumatology 340
Replace Christian Beyer with:
Christian Beyer Germany
Pawel Zerr Germany
Alfiya Akhmetshina Germany
Masatoshi Jinnin Japan
Franck Verrecchia France
Astrid Jüngel Switzerland
David Lagares United States
Asish K. Ghosh United States
Alan M. Holmes United Kingdom
Alfiya Distler Germany
Clara Dees relative to Christian Beyer Germany Christian Beyer's profile →
Citations per field
00.5×1.6×
Christian Beyer · 1×
Citations per year

Countries citing papers authored by Clara Dees

Since Specialization
Citations

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

Fields of papers citing papers by Clara Dees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Activation of canonical Wnt signalling is required for TGF-β-mediated fibrosis
Hit paper breakdown →
2012749
2 2015306
3 2012237
4 2011225
5 2012186
6 2008180
7 2013175
8 2008171
9 2019158
10 2017153
11 2012141
12 2011137
13 2014132
14 2012130
15 2011117
16 2014113
17 2020113
18 2018112
19 2009110
20 2021109

About Clara Dees

Clara Dees is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Hematology, Rheumatology and Pharmacology, having authored 86 papers that have together received 6.7k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (70 papers), TGF-β signaling in diseases (13 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Cannabis and Cannabinoid Research (3 papers), Liver physiology and pathology (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.6k citations), Hepatology (373 citations), Rehabilitation (240 citations), Pulmonary and Respiratory Medicine (773 citations) and Rheumatology (340 citations). Clara Dees has collaborated with scholars based in Germany, Switzerland and Czechia. Frequent co-authors include Jörg Distler, Georg Andreas Schett, Oliver Distler, Christian Beyer, Alfiya Akhmetshina, Pawel Zerr, Jochen Zwerina, Alfiya Distler, Katrin Palumbo and Michal Tomčík. Their work appears in journals such as Annals of the Rheumatic Diseases, Arthritis & Rheumatology, Blood, Journal of Cellular and Molecular Medicine 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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