Charlotte Tumescheit

2.7k total citations · 1 hit paper
5 papers, 1.1k citations indexed

About

Charlotte Tumescheit is a scholar working on Molecular Biology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Charlotte Tumescheit has authored 5 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Charlotte Tumescheit's work include Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers) and Insect symbiosis and bacterial influences (2 papers). Charlotte Tumescheit is often cited by papers focused on Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers) and Insect symbiosis and bacterial influences (2 papers). Charlotte Tumescheit collaborates with scholars based in United Kingdom, United States and South Korea. Charlotte Tumescheit's co-authors include Martin Steinegger, Stephanie Kim, Milot Mirdita, Cameron L. M. Gilchrist, Johannes Söding, Michel van Kempen, Jeong-Jae Lee, Andrew E. Firth, Katherine A. Brown and Carlos Machaín-Williams and has published in prestigious journals such as Nature Biotechnology, Nature Chemical Biology and Journal of General Virology.

In The Last Decade

Charlotte Tumescheit

5 papers receiving 1.0k 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.

Fast and accurate protein structure search with Foldseek

2023 956 citations Michel van Kempen, Stephanie Kim et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charlotte Tumescheit United Kingdom	5	702	196	135	129	79	5	1.1k
Michel van Kempen Armenia	2	664 0.9×	183 0.9×	110 0.8×	114 0.9×	78 1.0×	2	959
Jeong-Jae Lee South Korea	4	672 1.0×	183 0.9×	113 0.8×	114 0.9×	78 1.0×	17	996
Martin Madera United Kingdom	11	968 1.4×	93 0.5×	122 0.9×	173 1.3×	109 1.4×	12	1.3k
Fabien Mareuil France	10	476 0.7×	136 0.7×	175 1.3×	85 0.7×	69 0.9×	14	863
L. Steven Johnson United States	8	710 1.0×	158 0.8×	226 1.7×	101 0.8×	66 0.8×	8	1.1k
Jordi Querol‐Audí Spain	22	750 1.1×	81 0.4×	144 1.1×	76 0.6×	47 0.6×	34	1.1k
Bong-Hyun Kim United States	6	1.1k 1.6×	132 0.7×	181 1.3×	147 1.1×	249 3.2×	8	1.4k
Marek Tchórzewski Poland	22	794 1.1×	58 0.3×	151 1.1×	144 1.1×	67 0.8×	59	1.3k
Michelle M. Meyer United States	24	1.4k 2.0×	226 1.2×	130 1.0×	375 2.9×	66 0.8×	51	1.6k

Countries citing papers authored by Charlotte Tumescheit

Since Specialization

Citations

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

Fields of papers citing papers by Charlotte Tumescheit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Tumescheit

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

All Works

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5 of 5 papers shown

1.

Kempen, Michel van, Stephanie Kim, Charlotte Tumescheit, et al.. (2023). Fast and accurate protein structure search with Foldseek. Nature Biotechnology. 42(2). 243–246. 956 indexed citations breakdown →

2.

Tumescheit, Charlotte, Andrew E. Firth, & Katherine A. Brown. (2022). CIAlign: A highly customisable command line tool to clean, interpret and visualise multiple sequence alignments. PeerJ. 10. e12983–e12983. 50 indexed citations

3.

Kang, Hyunook, Ben P. Phillips, Soohyung Park, et al.. (2022). Evolutionary balance between foldability and functionality of a glucose transporter. Nature Chemical Biology. 18(7). 713–723. 14 indexed citations

4.

Tangudu, Chandra S., Charlotte Tumescheit, Andrew E. Firth, et al.. (2018). Discovery of a novel Tymoviridae-like virus in mosquitoes from Mexico. Archives of Virology. 164(2). 649–652. 13 indexed citations

5.

Tangudu, Chandra S., Charlotte Tumescheit, Andrew E. Firth, et al.. (2018). Detection of novel and recognized RNA viruses in mosquitoes from the Yucatan Peninsula of Mexico using metagenomics and characterization of their in vitro host ranges. Journal of General Virology. 99(12). 1729–1738. 25 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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