Nico Pfeifer

6.1k total citations · 1 hit paper
64 papers, 1.9k citations indexed

About

Nico Pfeifer is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Nico Pfeifer has authored 64 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Virology and 18 papers in Infectious Diseases. Recurrent topics in Nico Pfeifer's work include HIV Research and Treatment (20 papers), HIV/AIDS drug development and treatment (14 papers) and Machine Learning in Bioinformatics (8 papers). Nico Pfeifer is often cited by papers focused on HIV Research and Treatment (20 papers), HIV/AIDS drug development and treatment (14 papers) and Machine Learning in Bioinformatics (8 papers). Nico Pfeifer collaborates with scholars based in Germany, Italy and Portugal. Nico Pfeifer's co-authors include Oliver Kohlbacher, Ole Schulz-Trieglaff, Clemens Gröpl, Knut Reinert, Eva Lange, Marc Sturm, Nora K. Speicher, Alexandra Zerck, Andreas Bertsch and Andreas Hildebrandt and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Nico Pfeifer

61 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

OpenMS – An open-source software framework for mass spectrometry

2008 500 citations Marc Sturm, Andreas Bertsch et al. BMC Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nico Pfeifer Germany	20	1.1k	655	405	371	234	64	1.9k
Nancy J. Jensen United States	24	791 0.7×	773 1.2×	72 0.2×	116 0.3×	162 0.7×	36	2.2k
Jishnu Das United States	23	1.4k 1.2×	77 0.1×	79 0.2×	159 0.4×	324 1.4×	80	2.0k
Attila Kertész‐Farkas Hungary	13	473 0.4×	154 0.2×	161 0.4×	97 0.3×	31 0.1×	33	787
Pieter Meysman Belgium	23	910 0.8×	105 0.2×	26 0.1×	89 0.2×	383 1.6×	80	1.5k
Watshara Shoombuatong Thailand	36	2.9k 2.6×	124 0.2×	30 0.1×	84 0.2×	94 0.4×	122	3.7k
Abhay Jere India	12	731 0.7×	38 0.1×	151 0.4×	161 0.4×	56 0.2×	18	1.3k
Luis Mendoza United States	17	1.6k 1.5×	1.1k 1.7×	26 0.1×	54 0.1×	104 0.4×	34	2.1k
Anne‐Claude Camproux France	22	1.3k 1.2×	34 0.1×	57 0.1×	162 0.4×	80 0.3×	65	2.4k
Georg Casari Germany	20	1.4k 1.3×	90 0.1×	74 0.2×	50 0.1×	73 0.3×	24	1.9k
Matthieu Montès France	27	870 0.8×	33 0.1×	130 0.3×	91 0.2×	259 1.1×	58	1.7k

Countries citing papers authored by Nico Pfeifer

Since Specialization

Citations

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

Fields of papers citing papers by Nico Pfeifer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nico Pfeifer

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

All Works

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20 of 20 papers shown

Akgün, Mete, et al.. (2025). Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach. IEEE Access. 13. 151527–151537.

Graf, Michael D., Luiz Olavo Bonino da Silva Santos, Stefan Decker, et al.. (2024). A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis. Scientific Data. 11(1). 663–663. 3 indexed citations

Pfeifer, Nico, et al.. (2024). A privacy-preserving approach for cloud-based protein fold recognition. Patterns. 5(9). 101023–101023. 1 indexed citations

Reuter, Bernhard, et al.. (2023). Inherently interpretable position-aware convolutional motif kernel networks for biological sequencing data. Scientific Reports. 13(1). 17216–17216. 1 indexed citations

Boßelmann, Christian M., Ulrike B. S. Hedrich, Holger Lerche, & Nico Pfeifer. (2023). Predicting functional effects of ion channel variants using new phenotypic machine learning methods. PLoS Computational Biology. 19(3). e1010959–e1010959. 10 indexed citations

Hedberg, Pontus, Benedetta Varisco, Francesca Bai, et al.. (2023). EuCARE-hospitalised study protocol: a cohort study of patients hospitalised with COVID-19 in the EuCARE project. BMC Infectious Diseases. 23(1). 690–690. 1 indexed citations

Bellerba, Federica, Oriana D’Ecclesiis, Sara Raimondi, et al.. (2023). SARS-CoV-2 trends in Italy, Germany and Portugal and school opening during the period of Omicron variant dominance: A quasi experimental study in the EuCARE project. International Journal of Infectious Diseases. 138. 63–72. 1 indexed citations

Machart, Pierre, et al.. (2022). Attentive Variational Information Bottleneck for TCR–peptide interaction prediction. Bioinformatics. 39(1). 10 indexed citations

Ottinger, Hellmut, Jürgen Rissland, Norbert Graf, et al.. (2022). Time‐dependent prediction of mortality and cytomegalovirus reactivation after allogeneic hematopoietic cell transplantation using machine learning. American Journal of Hematology. 97(10). 1309–1323. 8 indexed citations

10.

Heger, Eva, Alexander Thielen, Martin Obermeier, et al.. (2021). Adapting the geno2pheno[coreceptor] tool to HIV-1 subtype CRF01_AE by phenotypic validation using clinical isolates from South-East Asia. Journal of Clinical Virology. 136. 104755–104755. 1 indexed citations

11.

Kreer, Christoph, Matthias Döring, Meryem S. Ercanoglu, et al.. (2020). openPrimeR for multiplex amplification of highly diverse templates. Journal of Immunological Methods. 480. 112752–112752. 22 indexed citations

12.

Luca, Andrea De, Patrizio Pezzotti, Charles A. Boucher, et al.. (2019). Clinical use, efficacy, and durability of maraviroc for antiretroviral therapy in routine care: A European survey. PLoS ONE. 14(11). e0225381–e0225381. 13 indexed citations

13.

Pironti, Alejandro, Nico Pfeifer, Henrik Walter, et al.. (2017). Using drug exposure for predicting drug resistance – A data-driven genotypic interpretation tool. PLoS ONE. 12(4). e0174992–e0174992. 18 indexed citations

14.

Schoofs, Till, Florian Klein, Edward F. Kreider, et al.. (2016). HIV-1 therapy with monoclonal antibody 3BNC117 elicits host immune responses against HIV-1. Science. 352(6288). 997–1001. 227 indexed citations

15.

Pironti, Alejandro, Saleta Sierra, Rolf Kaiser, Thomas Lengauer, & Nico Pfeifer. (2015). Effects of sequence alterations on results from genotypic tropism testing. Journal of Clinical Virology. 65. 68–73. 1 indexed citations

16.

Kourí, Vivian, Ricardo Khouri, Jurgen Vercauteren, et al.. (2015). CRF19_cpx is an Evolutionary fit HIV-1 Variant Strongly Associated With Rapid Progression to AIDS in Cuba. EBioMedicine. 2(3). 244–254. 42 indexed citations

17.

Pironti, Alejandro, Nico Pfeifer, Rolf Kaiser, Hauke Walter, & Thomas Lengauer. (2014). Improved therapy‐success prediction with GSS estimated from clinical HIV‐1 sequences. Journal of the International AIDS Society. 17(4S3). 19743–19743. 4 indexed citations

18.

Kalinina, Olga V., Nico Pfeifer, & Thomas Lengauer. (2013). Modelling binding between CCR5 and CXCR4 receptors and their ligands suggests the surface electrostatic potential of the co-receptor to be a key player in the HIV-1 tropism. Retrovirology. 10(1). 130–130. 22 indexed citations

19.

Schulz-Trieglaff, Ole, Nico Pfeifer, Clemens Gröpl, Oliver Kohlbacher, & Knut Reinert. (2008). LC-MSsim – a simulation software for liquid chromatography mass spectrometry data. BMC Bioinformatics. 9(1). 423–423. 41 indexed citations

20.

Sturm, Marc, Andreas Bertsch, Clemens Gröpl, et al.. (2008). OpenMS – An open-source software framework for mass spectrometry. BMC Bioinformatics. 9(1). 163–163. 500 indexed citations breakdown →

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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