Max Koeppel

1.0k total citations
20 papers, 768 citations indexed

About

Max Koeppel is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Oncology. According to data from OpenAlex, Max Koeppel has authored 20 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Electrical and Electronic Engineering and 6 papers in Oncology. Recurrent topics in Max Koeppel's work include Advanced Fiber Optic Sensors (6 papers), RNA modifications and cancer (5 papers) and Cancer-related Molecular Pathways (5 papers). Max Koeppel is often cited by papers focused on Advanced Fiber Optic Sensors (6 papers), RNA modifications and cancer (5 papers) and Cancer-related Molecular Pathways (5 papers). Max Koeppel collaborates with scholars based in Germany, Netherlands and United Kingdom. Max Koeppel's co-authors include Marion Lohrum, Simon J. van Heeringen, Leonie Smeenk, Hendrik G. Stunnenberg, Thomas F. Meyer, Fernando García-Alcalde, Eva M. Janssen‐Megens, Philipp Schlaermann, Frithjof Glowinski and Stefanie J. J. Bartels and has published in prestigious journals such as Nucleic Acids Research, Blood and PLoS ONE.

In The Last Decade

Max Koeppel

18 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Koeppel Germany 10 500 298 197 172 82 20 768
Nirmala Jagadish India 19 622 1.2× 171 0.6× 85 0.4× 299 1.7× 49 0.6× 35 839
Kamil Lisek Italy 9 600 1.2× 290 1.0× 191 1.0× 62 0.4× 30 0.4× 9 828
Yi-Min Zheng China 11 496 1.0× 181 0.6× 230 1.2× 266 1.5× 45 0.5× 21 930
Tuhina Mazumdar United States 17 398 0.8× 232 0.8× 106 0.5× 143 0.8× 42 0.5× 32 785
Katherine E. Stagliano United States 13 375 0.8× 374 1.3× 123 0.6× 239 1.4× 30 0.4× 13 765
Felicitas Bossler Germany 7 388 0.8× 237 0.8× 166 0.8× 170 1.0× 50 0.6× 7 720
Rancés Blanco Cuba 15 303 0.6× 237 0.8× 59 0.3× 206 1.2× 37 0.5× 45 607
Rosa Anna DeFilippis United States 8 352 0.7× 357 1.2× 197 1.0× 147 0.9× 46 0.6× 13 800
Chih‐Ping Mao United States 13 410 0.8× 299 1.0× 116 0.6× 346 2.0× 23 0.3× 18 824
Leonie Smeenk Netherlands 14 567 1.1× 271 0.9× 124 0.6× 162 0.9× 17 0.2× 19 838

Countries citing papers authored by Max Koeppel

Since Specialization
Citations

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

Fields of papers citing papers by Max Koeppel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Koeppel

This figure shows the co-authorship network connecting the top 25 collaborators of Max Koeppel. A scholar is included among the top collaborators of Max Koeppel 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 Max Koeppel. Max Koeppel 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.
Koeppel, Max, et al.. (2023). Flying Particle Thermosensor in Hollow-Core Fiber Based on Fluorescence Lifetime Measurements. IEEE Journal of Selected Topics in Quantum Electronics. 30(6: Advances and Applications). 1–9.
2.
Boccellato, Francesco, Philipp Schlaermann, Max Koeppel, et al.. (2022). DNA methylation in human gastric epithelial cells defines regional identity without restricting lineage plasticity. Clinical Epigenetics. 14(1). 193–193. 5 indexed citations
3.
Koeppel, Max, Abhinav Sharma, Nicolas Y. Joly, et al.. (2021). Doppler optical frequency domain reflectometry for remote fiber sensing. Optics Express. 29(10). 14615–14615. 4 indexed citations
4.
Pommerenke, Claudia, et al.. (2020). Genomic deregulation of PRMT5 supports growth and stress tolerance in chronic lymphocytic leukemia. Scientific Reports. 10(1). 9775–9775. 7 indexed citations
5.
Quentmeier, Hilmar, Claudia Pommerenke, Wilhelm G. Dirks, et al.. (2019). The LL-100 panel: 100 cell lines for blood cancer studies. Scientific Reports. 9(1). 8218–8218. 62 indexed citations
6.
Nagel, Stefan, Michaela Scherr, Roderick A.F. MacLeod, et al.. (2019). NKL homeobox gene activities in normal and malignant myeloid cells. PLoS ONE. 14(12). e0226212–e0226212. 13 indexed citations
7.
Koeppel, Max, et al.. (2018). Combined distributed Raman and Bragg fiber temperature sensing using incoherent optical frequency domain reflectometry. Journal of sensors and sensor systems. 7(1). 91–100. 7 indexed citations
8.
9.
Koeppel, Max, et al.. (2018). Time and Wavelength Division Multiplexing of Fiber Bragg Gratings with Bidirectional Electro-Optical Frequency Conversion. 26th International Conference on Optical Fiber Sensors. ThE19–ThE19. 3 indexed citations
10.
Quentmeier, Hilmar, Claudia Pommerenke, Wilhelm G. Dirks, et al.. (2018). SLAMF7 in Primary Effusion Lymphoma, Target for Individualized Therapy?. Blood. 132(Supplement 1). 5300–5300. 2 indexed citations
11.
Koeppel, Max, Bernhard Schmauß, Dmitry S. Bykov, et al.. (2017). High resolution position measurement of “flying particles” inside hollow-core photonic crystal fiber. 1–3. 1 indexed citations
12.
Koeppel, Max, et al.. (2017). Fiber sensor identification based on incoherent Rayleigh backscatter measurements in the frequency domain. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10323. 103232Q–103232Q. 2 indexed citations
13.
Koeppel, Max, Fernando García-Alcalde, Frithjof Glowinski, Philipp Schlaermann, & Thomas F. Meyer. (2015). Helicobacter pylori Infection Causes Characteristic DNA Damage Patterns in Human Cells. Cell Reports. 11(11). 1703–1713. 103 indexed citations
14.
Koch, Manuel, et al.. (2013). Evidence for a crucial role of a host non-coding RNA in influenza A virus replication. RNA Biology. 11(1). 66–75. 89 indexed citations
15.
Koeppel, Max, Simon J. van Heeringen, Daniela Kramer, et al.. (2011). Crosstalk between c-Jun and TAp73α/β contributes to the apoptosis–survival balance. Nucleic Acids Research. 39(14). 6069–6085. 43 indexed citations
16.
Smeenk, Leonie, Simon J. van Heeringen, Max Koeppel, et al.. (2011). Role of p53 Serine 46 in p53 Target Gene Regulation. PLoS ONE. 6(3). e17574–e17574. 144 indexed citations
17.
Koeppel, Max, Simon J. van Heeringen, Leonie Smeenk, et al.. (2008). The novel p53 target gene IRF2BP2 participates in cell survival during the p53 stress response. Nucleic Acids Research. 37(2). 322–335. 44 indexed citations
18.
Staples, Karl J., Timothy Smallie, Lynn Williams, et al.. (2008). Role of STAT3 in glucocorticoid-induced expression of the human IL-10 gene. Molecular Immunology. 45(11). 3230–3237. 36 indexed citations
19.
Smeenk, Leonie, Simon J. van Heeringen, Max Koeppel, et al.. (2008). Characterization of genome-wide p53-binding sites upon stress response. Nucleic Acids Research. 36(11). 3639–3654. 168 indexed citations
20.
Koeppel, Max, et al.. (2008). Specific inhibition of Mdm2-mediated neddylation by Tip60. Cell Cycle. 7(2). 222–231. 35 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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