Simone Weidlich

1.9k citations
20 papers · 1.4k · h-index 19

Impact in

    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • Histone Deacetylase Inhibitors Research
    • Protein Degradation and Inhibitors
    • RNA Research and Splicing
  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • Cancer-related Molecular Pathways

Papers in

    • Ubiquitin and proteasome pathways 8
    • RNA modifications and cancer 3
    • TGF-β signaling in diseases 3
    • Glutathione Transferases and Polymorphisms 3
    • RNA Research and Splicing 3
    • Cancer-related Molecular Pathways 3

Simone Weidlich

20 papers receiving 1.4k citations

Peers

Simone Weidlich
Comparison fields: 5 of 77
  • Molecular Biology 1.1k
  • Oncology 378
  • Cancer Research 207
  • Cell Biology 170
  • Epidemiology 241
Replace Lorenza Penengo with:
Lorenza Penengo Italy
Mindy H. Hsieh United States
Kavitha Gowrishankar Australia
Yosua Adi Kristariyanto United Kingdom
Patrice Lassus France
Paul DeJesus United States
Mike Hupe Germany
Philippe Coulombe France
Kathryn M. Schubert United States
Gilbert F. Scott United States
Simone Weidlich relative to Lorenza Penengo Italy Lorenza Penengo's profile →
Citations per field
00.5×1.5×
Lorenza Penengo · 1×
Citations per year

Countries citing papers authored by Simone Weidlich

Since Specialization
Citations

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

Fields of papers citing papers by Simone Weidlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016310
2 2018150
3 2013115
4 201898
5 201690
6 200474
7 201663
8 196863
9 201557
10 201557
11 201757
12 201650
13 202047
14 201443
15 201840
16 202135
17 201826
18 201124
19 201123
20 201012

About Simone Weidlich

Simone Weidlich is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Geriatrics and Gerontology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Autophagy in Disease and Therapy (4 papers), RNA modifications and cancer (3 papers), Cancer-related Molecular Pathways (3 papers), TGF-β signaling in diseases (3 papers), Glutathione Transferases and Polymorphisms (3 papers), RNA Research and Splicing (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Oncology (378 citations), Cancer Research (207 citations), Cell Biology (170 citations) and Epidemiology (241 citations). Simone Weidlich has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Yogesh Kulathu, S.A. Abdul Rehman, Yosua Adi Kristariyanto, Kay Hofmann, Karim P. M. Labib, Soo‐Youn Choi, Pedro Junior Nkosi, Gopal P. Sapkota, Lina Herhaus and Thomas Macartney. Their work appears in journals such as Molecular Cell, British Journal of Cancer, Science Signaling, Nature Communications and Cell Stress.

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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