Michael Scherer

2.4k total citations
60 papers, 1.5k citations indexed

About

Michael Scherer is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Michael Scherer has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Electrical and Electronic Engineering and 9 papers in Computational Mechanics. Recurrent topics in Michael Scherer's work include Epigenetics and DNA Methylation (11 papers), Geological and Geochemical Analysis (6 papers) and Paleontology and Stratigraphy of Fossils (5 papers). Michael Scherer is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), Geological and Geochemical Analysis (6 papers) and Paleontology and Stratigraphy of Fossils (5 papers). Michael Scherer collaborates with scholars based in Germany, United States and Spain. Michael Scherer's co-authors include Jörn Walter, H. M. Seitz, Thomas Lengauer, Christoph Bock, Pavlo Lutsik, Fabian Müller, Yassen Assenov, P. Anderer, H. Katschnig and Karin Gutiérrez‐Lobos and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Michael Scherer

57 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Scherer Germany 22 325 317 204 167 140 60 1.5k
Makoto Okada Japan 22 328 1.0× 260 0.8× 218 1.1× 107 0.6× 319 2.3× 217 2.0k
Paul J. Thomas Canada 22 88 0.3× 310 1.0× 317 1.6× 166 1.0× 235 1.7× 83 2.1k
Rémi Tucoulou France 31 155 0.5× 326 1.0× 804 3.9× 198 1.2× 207 1.5× 132 2.8k
Takashi Kamiyama Japan 32 530 1.6× 130 0.4× 746 3.7× 125 0.7× 217 1.6× 231 3.5k
J. P. Bradley United States 40 110 0.3× 292 0.9× 652 3.2× 174 1.0× 291 2.1× 220 5.1k
M. J. Burchell United Kingdom 32 93 0.3× 117 0.4× 555 2.7× 207 1.2× 116 0.8× 253 3.8k
G. Slodzian France 22 184 0.6× 363 1.1× 307 1.5× 202 1.2× 89 0.6× 71 1.7k
Yuki Kimura Japan 25 187 0.6× 398 1.3× 885 4.3× 126 0.8× 625 4.5× 230 2.8k
R. Levi‐Setti United States 34 455 1.4× 392 1.2× 428 2.1× 69 0.4× 247 1.8× 130 2.8k
Shogo Tachibana Japan 31 78 0.2× 140 0.4× 124 0.6× 125 0.7× 97 0.7× 158 3.0k

Countries citing papers authored by Michael Scherer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Scherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Scherer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Scherer. A scholar is included among the top collaborators of Michael Scherer 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 Michael Scherer. Michael Scherer 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.
Gerhäuser, Clarissa, et al.. (2024). Figeno: multi-region genomic figures with long-read support. Bioinformatics. 40(6). 2 indexed citations
2.
Kelly, Katherine J., Michael Scherer, M Braun, Pavlo Lutsik, & Christoph Plass. (2024). EpiCHAOS: a metric to quantify epigenomic heterogeneity in single-cell data. Genome biology. 25(1). 305–305. 2 indexed citations
3.
Scherer, Michael, Chelsea Szu‐Tu, Carsten Müller‐Tidow, et al.. (2024). Late-onset <i>NPM1</i> mutation in a MYC-amplified relapsed / refractory acute myeloid leukemia patient treated with gemtuzumab ozogamicin and glasdegib. Haematologica. 109(11). 3811–3815.
4.
Scherer, Michael, et al.. (2022). scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells. Genome biology. 23(1). 229–229. 17 indexed citations
5.
Tierling, Sascha, Wiebke M. Wemheuer, Michael Scherer, et al.. (2022). Bisulfite profiling of the MGMT promoter and comparison with routine testing in glioblastoma diagnostics. Clinical Epigenetics. 14(1). 26–26. 2 indexed citations
6.
Vogel, Vanessa, Dirk Moser, Sascha Tierling, et al.. (2021). Prenatal exposure to endocrine disrupting chemicals is associated with altered DNA methylation in cord blood. Epigenetics. 17(9). 935–952. 9 indexed citations
7.
Scherer, Michael, Florian Schmidt, Olga Lazareva, et al.. (2021). Machine learning for deciphering cell heterogeneity and gene regulation. Nature Computational Science. 1(3). 183–191. 14 indexed citations
8.
Scherer, Michael, Gilles Gasparoni, Souad Rahmouni, et al.. (2021). Identification of tissue-specific and common methylation quantitative trait loci in healthy individuals using MAGAR. Epigenetics & Chromatin. 14(1). 44–44. 2 indexed citations
9.
10.
Privé, Florian, Daniel Jost, E. Andrés Houseman, et al.. (2020). Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software. BMC Bioinformatics. 21(1). 16–16. 25 indexed citations
11.
12.
Trenz, Rebecca C., et al.. (2011). Early onset of drug and polysubstance use as predictors of injection drug use among adult drug users. Addictive Behaviors. 37(4). 367–372. 93 indexed citations
13.
14.
Fuji, Takao, J. Rauschenberger, A. Apolonski, et al.. (2005). Monolithic carrier-envelope phase-stabilization scheme. Optics Letters. 30(3). 332–332. 86 indexed citations
15.
Scherer, Michael & Guenter Ahlers. (2002). Temporal and spatial properties of fluctuations below a supercritical primary bifurcation to traveling oblique-roll electroconvection. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(5). 51101–51101. 14 indexed citations
16.
Scherer, Michael, et al.. (2000). Deviations from Linear Theory for Fluctuations below the Supercritical Primary Bifurcation to Electroconvection. Physical Review Letters. 85(18). 3754–3757. 19 indexed citations
17.
Schröter, Matthias, et al.. (1998). Fingering instability in a water-sand mixture. The European Physical Journal B. 4(4). 475–484. 20 indexed citations
18.
Scherer, Michael, et al.. (1993). Shell appraising deepwater discovery off Philippines. Oil & gas journal. 15(7). 30–1. 1 indexed citations
19.
Scherer, Michael. (1977). Preservation, Alteration and Multiple Cementation of Aragonitic Skeletons from the Cassian Beds (U. Triassic, Southern Alps): Petrographic and Geochemical Evidence. Neues Jahrbuch für Geologie und Paläontologie - Abhandlungen. 154(2). 213–262. 49 indexed citations
20.
Scherer, Michael. (1975). Cementation and replacement of Pleistocene corals from the Bahamas and Florida: Diagenetic influence of non-marine environments. Neues Jahrbuch für Geologie und Paläontologie - Abhandlungen. 149(3). 259–285. 10 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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