Cornelius Roemer

2.9k total citations · 1 hit paper
6 papers, 679 citations indexed

About

Cornelius Roemer is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Cornelius Roemer has authored 6 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Cornelius Roemer's work include Evolution and Genetic Dynamics (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Bacteriophages and microbial interactions (2 papers). Cornelius Roemer is often cited by papers focused on Evolution and Genetic Dynamics (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Bacteriophages and microbial interactions (2 papers). Cornelius Roemer collaborates with scholars based in Switzerland, United Kingdom and Germany. Cornelius Roemer's co-authors include Ivan Aksamentov, Emma B. Hodcroft, Richard A. Neher, Tanja Stadler, Chaoran Chen, Sarah Nadeau, Ning Xie, Andrew Rambaut, Kenta Sato and Thomas P. Peacock and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Nature Microbiology.

In The Last Decade

Cornelius Roemer

6 papers receiving 666 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.

Nextclade: clade assignment, mutation calling and quality control for viral genomes

2021 443 citations Ivan Aksamentov, Cornelius Roemer et al. The Journal of Open Source Software profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cornelius Roemer Switzerland	5	555	237	112	106	83	6	679
Ivan Aksamentov Switzerland	2	356 0.6×	155 0.7×	96 0.9×	72 0.7×	57 0.7×	2	454
Daniel Maloney United Kingdom	6	521 0.9×	213 0.9×	63 0.6×	109 1.0×	69 0.8×	11	626
Panke Qu United States	15	664 1.2×	215 0.9×	90 0.8×	121 1.1×	41 0.5×	15	740
Martin Müller Germany	8	585 1.1×	174 0.7×	137 1.2×	98 0.9×	39 0.5×	12	764
Aurélia Kwasiborski France	8	307 0.6×	182 0.8×	58 0.5×	118 1.1×	26 0.3×	15	493
Benjamin O. Fulton United States	5	685 1.2×	218 0.9×	122 1.1×	104 1.0×	46 0.6×	5	834
Grégory Destras France	11	456 0.8×	145 0.6×	61 0.5×	66 0.6×	65 0.8×	21	533
Damir García‐Cehic Spain	13	227 0.4×	99 0.4×	174 1.6×	31 0.3×	45 0.5×	33	455
Rachel Colquhoun United Kingdom	5	527 0.9×	241 1.0×	66 0.6×	112 1.1×	66 0.8×	9	644
Linda Benincasa Italy	8	448 0.8×	134 0.6×	36 0.3×	74 0.7×	19 0.2×	14	496

Countries citing papers authored by Cornelius Roemer

Since Specialization

Citations

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

Fields of papers citing papers by Cornelius Roemer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelius Roemer

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

All Works

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6 of 6 papers shown

1.

McBroome, Jakob, Adriano de Bernardi Schneider, Cornelius Roemer, et al.. (2024). A framework for automated scalable designation of viral pathogen lineages from genomic data. Nature Microbiology. 9(2). 550–560. 6 indexed citations

2.

Roemer, Cornelius, Daniel J. Sheward, Kenta Sato, et al.. (2023). SARS-CoV-2 evolution in the Omicron era. Nature Microbiology. 8(11). 1952–1959. 54 indexed citations

3.

Chen, Chaoran, et al.. (2023). LAPIS is a fast web API for massive open virus sequencing data. BMC Bioinformatics. 24(1). 232–232. 4 indexed citations

4.

Aksamentov, Ivan, Cornelius Roemer, Emma B. Hodcroft, & Richard A. Neher. (2021). Nextclade: clade assignment, mutation calling and quality control for viral genomes. Zenodo (CERN European Organization for Nuclear Research). 11 indexed citations

5.

Chen, Chaoran, et al.. (2021). CoV-Spectrum: analysis of globally shared SARS-CoV-2 data to identify and characterize new variants. Bioinformatics. 38(6). 1735–1737. 161 indexed citations

6.

Aksamentov, Ivan, Cornelius Roemer, Emma B. Hodcroft, & Richard A. Neher. (2021). Nextclade: clade assignment, mutation calling and quality control for viral genomes. The Journal of Open Source Software. 6(67). 3773–3773. 443 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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