Susanne Ramm

3.2k total citations · 1 hit paper
27 papers, 1.9k citations indexed

About

Susanne Ramm is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Susanne Ramm has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Susanne Ramm's work include Botulinum Toxin and Related Neurological Disorders (3 papers), Cell Image Analysis Techniques (3 papers) and Prostate Cancer Treatment and Research (3 papers). Susanne Ramm is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (3 papers), Cell Image Analysis Techniques (3 papers) and Prostate Cancer Treatment and Research (3 papers). Susanne Ramm collaborates with scholars based in United States, Australia and Germany. Susanne Ramm's co-authors include April C. Watt, Shom Goel, Jaclyn Sceneay, Jean J. Zhao, Ian E. Krop, Matthew J. Ellis, Sandra S. McAllister, Jeremy Hoog, Molly J. DeCristo and Eric P. Winer and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Susanne Ramm

27 papers receiving 1.8k citations

Hit Papers

CDK4/6 inhibition triggers anti-tumour immunity 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susanne Ramm United States 15 859 549 546 311 251 27 1.9k
Jingwei Jiang China 25 531 0.6× 337 0.6× 638 1.2× 316 1.0× 198 0.8× 79 1.7k
Magdalena Groblewska Poland 24 622 0.7× 121 0.2× 626 1.1× 273 0.9× 101 0.4× 42 1.7k
Jiang Cao China 26 757 0.9× 151 0.3× 743 1.4× 374 1.2× 127 0.5× 152 2.3k
Wook Jin South Korea 25 504 0.6× 334 0.6× 721 1.3× 104 0.3× 225 0.9× 55 1.8k
Tatsuki Itoh Japan 32 670 0.8× 290 0.5× 1.1k 2.0× 193 0.6× 227 0.9× 81 2.4k
Rossano Lattanzio Italy 29 959 1.1× 290 0.5× 1.3k 2.3× 274 0.9× 122 0.5× 83 2.7k
Satoshi Tanno Japan 30 1.8k 2.1× 660 1.2× 1.2k 2.2× 86 0.3× 489 1.9× 70 3.3k
Martin R. Weihrauch Germany 21 476 0.6× 328 0.6× 443 0.8× 509 1.6× 70 0.3× 40 1.8k
Xinqun Li United States 23 519 0.6× 201 0.4× 957 1.8× 162 0.5× 470 1.9× 33 2.0k

Countries citing papers authored by Susanne Ramm

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Ramm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Ramm

This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Ramm. A scholar is included among the top collaborators of Susanne Ramm 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 Susanne Ramm. Susanne Ramm 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.
Lee, Sam, Carolina Salazar, David B. Ascher, et al.. (2024). A new method for network bioinformatics identifies novel drug targets for mucinous ovarian carcinoma. NAR Genomics and Bioinformatics. 6(3). lqae096–lqae096. 2 indexed citations
2.
Keerthikumar, Shivakumar, Susanne Ramm, Daisaku Ashikari, et al.. (2024). Co‐targeting BET, CBP, and p300 inhibits neuroendocrine signalling in androgen receptor‐null prostate cancer. The Journal of Pathology. 263(2). 242–256. 7 indexed citations
3.
Ahn, Antonio, Michael Taylor, Keefe T. Chan, et al.. (2023). INX-315, a Selective CDK2 Inhibitor, Induces Cell Cycle Arrest and Senescence in Solid Tumors. Cancer Discovery. 14(3). 446–467. 62 indexed citations
4.
Li, Xiang, et al.. (2023). MAC-Seq: Coupling Low-Cost, High-Throughput RNA-Seq with Image-Based Phenotypic Screening in 2D and 3D Cell Models. Methods in molecular biology. 2691. 279–325. 2 indexed citations
5.
Lawrence, Mitchell G., Laura H. Porter, David Pook, et al.. (2021). CX-5461 Sensitizes DNA Damage Repair–proficient Castrate-resistant Prostate Cancer to PARP Inhibition. Molecular Cancer Therapeutics. 20(11). 2140–2150. 17 indexed citations
6.
Ramm, Susanne, Jean M. Winter, Luke A. Selth, et al.. (2021). High-Throughput Imaging Assay for Drug Screening of 3D Prostate Cancer Organoids. SLAS DISCOVERY. 26(9). 1107–1124. 46 indexed citations
7.
Lidberg, Kevin A., Andrew J. Annalora, Lu Wang, et al.. (2021). Antisense oligonucleotide development for the selective modulation of CYP3A5 in renal disease. Scientific Reports. 11(1). 4722–4722. 8 indexed citations
8.
Ceder, Sophia, Sofi Eriksson, Swati Dawar, et al.. (2020). A thiol‐bound drug reservoir enhances APR‐246‐induced mutant p53 tumor cell death. EMBO Molecular Medicine. 13(2). e10852–e10852. 29 indexed citations
9.
Weber, Elijah J., Kevin A. Lidberg, Lu Wang, et al.. (2018). Human kidney on a chip assessment of polymyxin antibiotic nephrotoxicity. JCI Insight. 3(24). 70 indexed citations
10.
Monteiro, Maria Beatriz, Susanne Ramm, Vidya Chandrasekaran, et al.. (2018). A High-Throughput Screen Identifies DYRK1A Inhibitor ID-8 that Stimulates Human Kidney Tubular Epithelial Cell Proliferation. Journal of the American Society of Nephrology. 29(12). 2820–2833. 8 indexed citations
11.
Goel, Shom, Molly J. DeCristo, April C. Watt, et al.. (2017). CDK4/6 inhibition triggers anti-tumour immunity. Nature. 548(7668). 471–475. 998 indexed citations breakdown →
12.
Ramm, Susanne, Elisabeth Limbeck, & Angela Mally. (2016). Functional and cellular consequences of covalent target protein modification by furan in rat liver. Toxicology. 361-362. 49–61. 9 indexed citations
13.
Adler, Melanie, Susanne Ramm, Marc Hafner, et al.. (2015). A Quantitative Approach to Screen for Nephrotoxic Compounds In Vitro. Journal of the American Society of Nephrology. 27(4). 1015–1028. 95 indexed citations
15.
Kempf, Michael, et al.. (2009). Occurrence of 2,2,4-trimethyl–1,3-pentanediol monoisobutyrate (Texanol®) in foods packed in polystyrene and polypropylene cups. Food Additives & Contaminants Part A. 26(4). 563–567. 9 indexed citations
16.
Stamenova, P., Rossen Koytchev, Karsten Kuhn, et al.. (2005). A randomized, double‐blind, placebo‐controlled study of the efficacy and safety of tolperisone in spasticity following cerebral stroke. European Journal of Neurology. 12(6). 453–461. 28 indexed citations
18.
Edmonds, Sally, Paul G. Winyard, Renhua Guo, et al.. (1997). Putative analgesic activity of repeated oral doses of vitamin E in the treatment of rheumatoid arthritis. Results of a prospective placebo controlled double blind trial. Annals of the Rheumatic Diseases. 56(11). 649–655. 96 indexed citations
20.
Trenkwalder, Claudia, Karin Stiasny, T. Pollmächer, et al.. (1995). L-Dopa Therapy of Uremic and Idiopathic Restless Legs Syndrome: A Double-Blind, Crossover Trial. SLEEP. 18(8). 681–688. 198 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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