Rainer Will

2.6k total citations
50 papers, 1.3k citations indexed

About

Rainer Will is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Rainer Will has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Cancer Research and 10 papers in Immunology. Recurrent topics in Rainer Will's work include MicroRNA in disease regulation (8 papers), Signaling Pathways in Disease (8 papers) and Immunotherapy and Immune Responses (7 papers). Rainer Will is often cited by papers focused on MicroRNA in disease regulation (8 papers), Signaling Pathways in Disease (8 papers) and Immunotherapy and Immune Responses (7 papers). Rainer Will collaborates with scholars based in Germany, United States and Israel. Rainer Will's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Rainer Will

45 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rainer Will Germany 19 763 311 249 202 142 50 1.3k
Nikhil Munshi United States 20 1.3k 1.7× 222 0.7× 145 0.6× 383 1.9× 110 0.8× 73 1.8k
Michael Schebesta Austria 11 1.2k 1.5× 143 0.5× 159 0.6× 170 0.8× 262 1.8× 14 1.7k
Nik Matthews United Kingdom 17 1.3k 1.7× 414 1.3× 54 0.2× 411 2.0× 110 0.8× 26 1.9k
Michael G. Gartside Australia 21 1.2k 1.5× 273 0.9× 48 0.2× 416 2.1× 221 1.6× 38 1.8k
Qiaoran Xi China 19 1.8k 2.3× 229 0.7× 92 0.4× 410 2.0× 88 0.6× 35 2.3k
Giovanna Marziali Italy 27 1.4k 1.9× 565 1.8× 102 0.4× 289 1.4× 74 0.5× 52 2.1k
Ko Sasaki Japan 21 602 0.8× 93 0.3× 76 0.3× 290 1.4× 82 0.6× 78 1.3k
Duanduan Ma United States 17 1.1k 1.4× 211 0.7× 49 0.2× 459 2.3× 70 0.5× 28 1.6k
Gustavo Gutierrez-Cruz United States 15 1.6k 2.1× 341 1.1× 105 0.4× 236 1.2× 113 0.8× 17 2.3k
Marc Lipinski France 28 1.8k 2.4× 212 0.7× 74 0.3× 306 1.5× 97 0.7× 67 2.6k

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-authorship network of co-authors of Rainer Will

This figure shows the co-authorship network connecting the top 25 collaborators of Rainer Will. A scholar is included among the top collaborators of Rainer Will based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rainer Will. Rainer Will is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Will, Rainer, Dominic Helm, Felix Bestvater, et al.. (2025). Loss of SMARCB1 evokes targetable epigenetic vulnerabilities in epithelioid sarcoma. Cancer Communications. 45(5). 494–499.
3.
Chen, Zhen, Rainer Will, Maike Busch, et al.. (2023). Novel Function of Cancer Stem Cell Marker ALDH1A3 in Glioblastoma: Pro-Angiogenesis through Paracrine PAI-1 and IL-8. Cancers. 15(17). 4422–4422. 4 indexed citations
4.
Borgoni, Simone, Birgitta E. Michels, Sara Burmester, et al.. (2023). Clonal heterogeneity in ER+ breast cancer reveals the proteasome and PKC as potential therapeutic targets. npj Breast Cancer. 9(1). 97–97.
5.
Hotz‐Wagenblatt, Agnes, Elke Dickes, Annette Kopp‐Schneider, et al.. (2023). MicroRNAs affecting the susceptibility of melanoma cells to CD8+ T cell‐mediated cytolysis. Clinical and Translational Medicine. 13(2). e1186–e1186. 3 indexed citations
6.
Kilian, Michael, Dirk C. Hoffmann, P. Koopmann, et al.. (2023). NLGN4X TCR transgenic T cells to treat gliomas. Neuro-Oncology. 26(2). 266–278. 9 indexed citations
8.
Will, Rainer, Katja Bauer, Stefan Wiemann, et al.. (2022). A Dual HiBiT-GFP-LC3 Lentiviral Reporter for Autophagy Flux Assessment. Methods in molecular biology. 2445. 75–98. 4 indexed citations
9.
Will, Rainer, Claudia Tessmer, Ilse Hofmann, et al.. (2021). Biological Activity Characterization of the Diagnostically Relevant Human Papillomavirus 16 E1C RNA. SHILAP Revista de lepidopterología. 12(3). 539–552.
10.
Kühn, Christian, Claudia Mäck, Susanne Hille, et al.. (2021). FYCO1 Regulates Cardiomyocyte Autophagy and Prevents Heart Failure Due to Pressure Overload In Vivo. JACC Basic to Translational Science. 6(4). 365–380. 12 indexed citations
11.
Wachter, Astrid, Rainer Will, Stefan Uhlmann, et al.. (2021). Coordinated regulation of WNT/β-catenin, c-Met, and integrin signalling pathways by miR-193b controls triple negative breast cancer metastatic traits. BMC Cancer. 21(1). 1296–1296. 8 indexed citations
12.
Quandt, Jasmin, Michael Bartoschek, Rainer Will, et al.. (2018). Long-peptide vaccination with driver gene mutations in p53 and Kras induces cancer mutation-specific effector as well as regulatory T cell responses. OncoImmunology. 7(12). e1500671–e1500671. 35 indexed citations
13.
Shukla, Kirti, Ashwini Kumar Sharma, Aoife Ward, et al.. (2015). MicroRNA‐30c‐2‐3p negatively regulates NF‐κB signaling and cell cycle progression through downregulation of TRADD and CCNE1 in breast cancer. Molecular Oncology. 9(6). 1106–1119. 78 indexed citations
14.
Spaich, Sebastian, Rainer Will, Steffen Just, et al.. (2012). F-Box and Leucine-Rich Repeat Protein 22 Is a Cardiac-Enriched F-Box Protein That Regulates Sarcomeric Protein Turnover and Is Essential for Maintenance of Contractile Function In Vivo. Circulation Research. 111(12). 1504–1516. 47 indexed citations
15.
Seeger, Thalia S., Derk Frank, Claudia M. Rohr, et al.. (2010). Myozap, a Novel Intercalated Disc Protein, Activates Serum Response Factor–Dependent Signaling and Is Required to Maintain Cardiac Function In Vivo. Circulation Research. 106(5). 880–890. 45 indexed citations
16.
Frank, Derk, Christian Kühn, Rainer Will, et al.. (2010). Lmcd1/Dyxin, a novel Z-disc associated LIM protein, mediates cardiac hypertrophy in vitro and in vivo. Journal of Molecular and Cellular Cardiology. 49(4). 673–682. 26 indexed citations
17.
Kühn, Christian, et al.. (2009). DYRK1A Is a Novel Negative Regulator of Cardiomyocyte Hypertrophy. Journal of Biological Chemistry. 284(25). 17320–17327. 64 indexed citations
18.
Frey, Norbert, Derk Frank, Christian Kühn, et al.. (2008). Calsarcin-2 deficiency increases exercise capacity in mice through calcineurin/NFAT activation. Journal of Clinical Investigation. 118(11). 3598–3608. 116 indexed citations
19.
Kontou, Maria, Rainer Will, Caroline Adelfalk, et al.. (2004). Thioredoxin, a regulator of gene expression. Oncogene. 23(12). 2146–2152. 14 indexed citations
20.
Frank, W., et al.. (1997). Chemotherapy with praziquantel has the potential to reduce the prevalence of Echinococcus multilocularis in wild foxes (Vulpes vulpes). Annals of Tropical Medicine and Parasitology. 91(2). 179–186. 55 indexed citations

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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