Rainer Will

2.6k citations
50 papers · 1.3k · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Muscle Physiology and Disorders
    • Signaling Pathways in Disease

Papers in

    • Signaling Pathways in Disease 8
    • RNA modifications and cancer 4
    • Ubiquitin and proteasome pathways 4
    • MicroRNA in disease regulation 8

Rainer Will

45 papers receiving 1.3k citations

Peers

Rainer Will
Comparison fields: 5 of 94
  • Cancer Research 311
  • Molecular Biology 763
  • Cardiology and Cardiovascular Medicine 249
  • Pathology and Forensic Medicine 138
  • Oncology 202
Replace Hua Chang with:
Hua Chang United States
Marc Lipinski France
Michael G. Gartside Australia
Michael Schebesta Austria
Giovanna Marziali Italy
Gustavo Gutierrez-Cruz United States
Anna Coenen-Stass United Kingdom
Rachel L. Dusek United States
Chunbo Shao United States
Eyal Reinstein Israel
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Citations per field
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Citations per year

Countries citing papers authored by Rainer Will

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008116
2 2014107
3 201697
4 201794
5 201578
6 200964
7
Candidate genes for cross-resistance against DNA-damaging drugs.
200257
8 199755
9 201055
10 201154
11 200750
12 201247
13 201045
14 200540
15 201039
16 201835
17 200734
18 201634
19 201026
20 201217

About Rainer Will

Rainer Will is a scholar working on Molecular Biology, Cancer Research, Immunology, Cardiology and Cardiovascular Medicine and Oncology, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (8 papers), MicroRNA in disease regulation (8 papers), Cardiomyopathy and Myosin Studies (7 papers), Immunotherapy and Immune Responses (7 papers), Cardiac Fibrosis and Remodeling (5 papers), Glioma Diagnosis and Treatment (5 papers), RNA modifications and cancer (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cancer Research (311 citations), Molecular Biology (763 citations), Cardiology and Cardiovascular Medicine (249 citations), Pathology and Forensic Medicine (138 citations) and Oncology (202 citations). Rainer Will has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Hugo A. Katus, Norbert Frey, Stefan Wiemann, Derk Frank, Christian Kühn, Alexander Bott, Ioanna Keklikoglou, Christian Breunig, Thomas Romig and Richard Lucius. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Circulation Research, Neuro-Oncology, Circulation and Cancers.

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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