Niklas Gremke

568 total citations
31 papers, 364 citations indexed

About

Niklas Gremke is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Niklas Gremke has authored 31 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 8 papers in Cancer Research and 6 papers in Molecular Biology. Recurrent topics in Niklas Gremke's work include COVID-19 and healthcare impacts (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Cancer Risks and Factors (3 papers). Niklas Gremke is often cited by papers focused on COVID-19 and healthcare impacts (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Cancer Risks and Factors (3 papers). Niklas Gremke collaborates with scholars based in Germany, United Kingdom and United States. Niklas Gremke's co-authors include Thorsten Stiewe, Uwe Wagner, Michael Wanzel, Matthias Kalder, Karel Kostev, Jean Schneikert, Sebastian Kühn, Corinna U. Brehm, Oleg Timofeev and Ursula Klingmüller and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Niklas Gremke

29 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niklas Gremke Germany 9 168 99 64 61 46 31 364
Changlin Zou China 10 108 0.6× 133 1.3× 41 0.6× 29 0.5× 14 0.3× 28 364
Michael Yan Canada 12 73 0.4× 97 1.0× 56 0.9× 56 0.9× 22 0.5× 43 409
Tran Diem Nghi Vietnam 11 186 1.1× 64 0.6× 77 1.2× 41 0.7× 6 0.1× 14 424
Hongying Lv China 11 207 1.2× 184 1.9× 87 1.4× 20 0.3× 47 1.0× 18 445
Alexander Tolios Austria 12 151 0.9× 36 0.4× 52 0.8× 21 0.3× 65 1.4× 38 513
Yu-Tien Chang Taiwan 9 151 0.9× 54 0.5× 70 1.1× 9 0.1× 27 0.6× 31 300
Masanobu Enomoto Japan 12 127 0.8× 204 2.1× 68 1.1× 23 0.4× 21 0.5× 62 485
Junya Tabata Japan 6 55 0.3× 61 0.6× 38 0.6× 22 0.4× 11 0.2× 10 250
Gabriele Anton Germany 8 200 1.2× 45 0.5× 85 1.3× 36 0.6× 6 0.1× 14 413

Countries citing papers authored by Niklas Gremke

Since Specialization
Citations

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

Fields of papers citing papers by Niklas Gremke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niklas Gremke

This figure shows the co-authorship network connecting the top 25 collaborators of Niklas Gremke. A scholar is included among the top collaborators of Niklas Gremke 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 Niklas Gremke. Niklas Gremke 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.
Gremke, Niklas, Julia Teply‐Szymanski, A. Stroh, et al.. (2024). NGS-Guided Precision Oncology in Breast Cancer and Gynecological Tumors—A Retrospective Molecular Tumor Board Analysis. Cancers. 16(8). 1561–1561. 3 indexed citations
2.
Gremke, Niklas, Wolfgang Janni, Markus Wallwiener, et al.. (2024). Proof-of-concept study of a small language model chatbot for breast cancer decision support – a transparent, source-controlled, explainable and data-secure approach. Journal of Cancer Research and Clinical Oncology. 150(10). 451–451. 9 indexed citations
3.
Knitza, Johannes, et al.. (2024). Awareness and intention-to-use of digital health applications, artificial intelligence and blockchain technology in breast cancer care. Frontiers in Medicine. 11. 1380940–1380940. 7 indexed citations
4.
Gremke, Niklas, et al.. (2024). Current Developments from Silicon Valley – How Artificial Intelligence is Changing Gynecology and Obstetrics. Geburtshilfe und Frauenheilkunde. 84(12). 1118–1125.
5.
Teply‐Szymanski, Julia, Ramona Erber, Annette Lebeau, et al.. (2023). Klinisch relevante molekularpathologische Diagnostik beim Mammakarzinom. PubMed. 44(1). 39–49. 2 indexed citations
6.
Gremke, Niklas, et al.. (2023). Therapy delay due to COVID-19 pandemic among European women with breast cancer: prevalence and associated factors. Journal of Cancer Research and Clinical Oncology. 149(13). 11749–11757. 4 indexed citations
7.
Jacob, Louis, Ai Koyanagi, Josep María Haro, et al.. (2023). Is there an association between breast cancer and incident adhesive capsulitis of the shoulder? A retrospective cohort study from Germany. Supportive Care in Cancer. 31(6). 347–347. 5 indexed citations
10.
Gremke, Niklas, et al.. (2023). Is there an association between endometriosis and subsequent breast cancer? A retrospective cohort study from Germany. Breast Cancer Research and Treatment. 204(2). 359–365. 2 indexed citations
11.
Gremke, Niklas, et al.. (2023). Challenging ChatGPT 3.5 in Senology—An Assessment of Concordance with Breast Cancer Tumor Board Decision Making. Journal of Personalized Medicine. 13(10). 1502–1502. 51 indexed citations
12.
Gremke, Niklas, et al.. (2023). Association between gout and subsequent breast cancer: a retrospective cohort study including 67,598 primary care patients in Germany. Breast Cancer Research and Treatment. 199(3). 545–552. 9 indexed citations
13.
Gremke, Niklas, Uwe Wagner, Matthias Kalder, & Karel Kostev. (2023). Changes in the incidence of early-onset breast cancer in Germany between 2010 and 2022. Breast Cancer Research and Treatment. 202(1). 167–172. 4 indexed citations
14.
15.
Hudemann, Christoph, Niklas Gremke, Wolfgang Pfützner, et al.. (2022). Isolation of Lymphocytes from Human Skin and Murine Tissues: A Rapid and Epitope-Preserving Approach. SHILAP Revista de lepidopterología. 3(1). 100155–100155. 3 indexed citations
16.
Gremke, Niklas, et al.. (2022). Positive association between body height and breast cancer prevalence: a retrospective study with 135,741 women in Germany. Breast Cancer Research and Treatment. 196(2). 349–354. 9 indexed citations
17.
Gremke, Niklas, et al.. (2022). Association between anti-seizure medication and the risk of lower urinary tract infection in patients with epilepsy. Epilepsy & Behavior. 135. 108910–108910. 4 indexed citations
18.
Gremke, Niklas, Karel Kostev, & Matthias Kalder. (2022). Association between antihypertensive medication and the risk of urinary tract infection (UTI) of outpatients: a retrospective cohort study. Infection. 51(2). 417–424. 5 indexed citations
19.
Bretz, Anne Catherine, Joël P. Charles, Niklas Gremke, et al.. (2016). ΔNp63 activates the Fanconi anemia DNA repair pathway and limits the efficacy of cisplatin treatment in squamous cell carcinoma. Nucleic Acids Research. 44(7). 3204–3218. 19 indexed citations
20.
Wanzel, Michael, Niklas Gremke, Rajkumar Savai, et al.. (2015). CRISPR-Cas9–based target validation for p53-reactivating model compounds. Nature Chemical Biology. 12(1). 22–28. 68 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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