Mona Riemenschneider

468 total citations
17 papers, 343 citations indexed

About

Mona Riemenschneider is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Mona Riemenschneider has authored 17 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Virology. Recurrent topics in Mona Riemenschneider's work include HIV/AIDS drug development and treatment (6 papers), HIV Research and Treatment (5 papers) and Hepatitis C virus research (5 papers). Mona Riemenschneider is often cited by papers focused on HIV/AIDS drug development and treatment (6 papers), HIV Research and Treatment (5 papers) and Hepatitis C virus research (5 papers). Mona Riemenschneider collaborates with scholars based in Germany, United States and Netherlands. Mona Riemenschneider's co-authors include Dominik Heider, Ursula Neumann, Monika Stoll, Jan‐Peter Sowa, Theodor Baars, Julia Kälsch, Ali Canbay, Eyke Hüllermeier, Robin Senge and Anika Witten and has published in prestigious journals such as Blood, Bioinformatics and The Journal of Immunology.

In The Last Decade

Mona Riemenschneider

17 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mona Riemenschneider Germany 12 148 77 76 41 41 17 343
Minji Seo South Korea 10 170 1.1× 144 1.9× 58 0.8× 104 2.5× 150 3.7× 23 481
Sean R. Landman United States 11 130 0.9× 38 0.5× 36 0.5× 46 1.1× 23 0.6× 25 387
Suliang Chen China 14 93 0.6× 117 1.5× 129 1.7× 72 1.8× 15 0.4× 38 540
Wenwen Zhang China 15 88 0.6× 11 0.1× 83 1.1× 126 3.1× 27 0.7× 51 624
Bhavesh Borate United States 13 283 1.9× 111 1.4× 154 2.0× 137 3.3× 112 2.7× 22 713
Mei Huang China 15 172 1.2× 23 0.3× 66 0.9× 229 5.6× 76 1.9× 49 654
Herbert Stekel Austria 12 73 0.5× 97 1.3× 123 1.6× 102 2.5× 10 0.2× 24 368
Elina Stoffel United States 7 21 0.1× 39 0.5× 31 0.4× 37 0.9× 37 0.9× 9 330
Radhika Krishnan India 14 169 1.1× 59 0.8× 52 0.7× 244 6.0× 209 5.1× 33 843

Countries citing papers authored by Mona Riemenschneider

Since Specialization
Citations

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

Fields of papers citing papers by Mona Riemenschneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Riemenschneider

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Riemenschneider. A scholar is included among the top collaborators of Mona Riemenschneider 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 Mona Riemenschneider. Mona Riemenschneider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Riemenschneider, Mona, et al.. (2018). Data Science for Molecular Diagnostics Applications: From Academia to Clinic to Industry. 1(1). 13–17. 5 indexed citations
2.
Löchel, Hannah F., Mona Riemenschneider, Dmitrij Frishman, & Dominik Heider. (2018). SCOTCH: subtype A coreceptor tropism classification in HIV-1. Bioinformatics. 34(15). 2575–2580. 13 indexed citations
3.
Riemenschneider, Mona, et al.. (2017). eccCL: parallelized GPU implementation of Ensemble Classifier Chains. BMC Bioinformatics. 18(1). 371–371. 4 indexed citations
4.
Simons, Colinda C.J.M., Mona Riemenschneider, Aaron Isaacs, et al.. (2017). A systematic SNP selection approach to identify mechanisms underlying disease aetiology: linking height to post-menopausal breast and colorectal cancer risk. Scientific Reports. 7(1). 41034–41034. 7 indexed citations
5.
Baars, Theodor, Ursula Neumann, Jan‐Peter Sowa, et al.. (2016). In Acute Myocardial Infarction Liver Parameters Are Associated With Stenosis Diameter. Medicine. 95(6). e2807–e2807. 19 indexed citations
6.
Riemenschneider, Mona & Dominik Heider. (2016). Current Approaches in Computational Drug Resistance Prediction in HIV. Current HIV Research. 14(4). 307–315. 20 indexed citations
7.
Riemenschneider, Mona, Robin Senge, Ursula Neumann, Eyke Hüllermeier, & Dominik Heider. (2016). Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. BioData Mining. 9(1). 10–10. 24 indexed citations
8.
Riemenschneider, Mona, et al.. (2016). SHIVA - a web application for drug resistance and tropism testing in HIV. BMC Bioinformatics. 17(1). 314–314. 30 indexed citations
9.
Neumann, Ursula, Mona Riemenschneider, Jan‐Peter Sowa, et al.. (2016). Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach. BioData Mining. 9(1). 36–36. 41 indexed citations
10.
Riemenschneider, Mona, Bettina Budeus, Saleta Sierra, et al.. (2016). Genotypic Prediction of Co-receptor Tropism of HIV-1 Subtypes A and C. Scientific Reports. 6(1). 24883–24883. 28 indexed citations
11.
Rühle, Frank, Anika Witten, Andrei Barysenka, et al.. (2016). Rare genetic variants in SMAP1, B3GAT2, and RIMS1 contribute to pediatric venous thromboembolism. Blood. 129(6). 783–790. 17 indexed citations
12.
Stenzig, Justus, Marc N. Hirt, Tessa Werner, et al.. (2015). DNA methylation in an engineered heart tissue model of cardiac hypertrophy: common signatures and effects of DNA methylation inhibitors. Basic Research in Cardiology. 111(1). 9–9. 29 indexed citations
13.
Riemenschneider, Mona, et al.. (2015). Fetal-Adult Cardiac Transcriptome Analysis in Rats with Contrasting Left Ventricular Mass Reveals New Candidates for Cardiac Hypertrophy. PLoS ONE. 10(2). e0116807–e0116807. 4 indexed citations
14.
Grotegerd, Dominik, Ronny Redlich, Jorge Almeida, et al.. (2014). MANIA—A Pattern Classification Toolbox for Neuroimaging Data. Neuroinformatics. 12(3). 471–486. 21 indexed citations
15.
Austermann, Judith, Olympia Papantonopoulou, Mona Riemenschneider, et al.. (2014). Transcriptome Assessment Reveals a Dominant Role for TLR4 in the Activation of Human Monocytes by the Alarmin MRP8. The Journal of Immunology. 194(2). 575–583. 60 indexed citations
16.
Preuß, Christoph, et al.. (2012). Evolutionary Dynamics of Co-Segregating Gene Clusters Associated with Complex Diseases. PLoS ONE. 7(5). e36205–e36205. 5 indexed citations
17.
Riemenschneider, Mona, Sascha Hauke, Martin Pyka, et al.. (2011). Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers. BioData Mining. 4(1). 26–26. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Minji Seo Breakdown of academic impact, for papers by Sean R. Landman Breakdown of academic impact, for papers by Suliang Chen Breakdown of academic impact, for papers by Wenwen Zhang Breakdown of academic impact, for papers by Bhavesh Borate Breakdown of academic impact, for papers by Mei Huang Breakdown of academic impact, for papers by Herbert Stekel Breakdown of academic impact, for papers by Elina Stoffel Breakdown of academic impact, for papers by Radhika Krishnan
Rankless by CCL
2026