Kevin Menden

480 total citations
9 papers, 214 citations indexed

About

Kevin Menden is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Kevin Menden has authored 9 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Physiology. Recurrent topics in Kevin Menden's work include Amyotrophic Lateral Sclerosis Research (3 papers), Alzheimer's disease research and treatments (2 papers) and Genomics and Phylogenetic Studies (2 papers). Kevin Menden is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (3 papers), Alzheimer's disease research and treatments (2 papers) and Genomics and Phylogenetic Studies (2 papers). Kevin Menden collaborates with scholars based in Germany, United States and Sweden. Kevin Menden's co-authors include Peter Heutink, Stefan Bonn, Mohamed Marouf, Sergio Oller Moreno, Daniel Sumner Magruder, Karin Kloiber, Anupriya Dalmia, Dan Vitale, Vahan Serobyan and Lana Sargent and has published in prestigious journals such as Bioinformatics, Science Advances and BMC Bioinformatics.

In The Last Decade

Kevin Menden

9 papers receiving 213 citations

Peers

Kevin Menden

MB

PHYSI

CR

NEURO

Karishma D’Sa United Kingdom

Morteza Oladnabi Iran

Guangfu Xue China

Daniel Bunis United States

Ryan O’Rourke United States

Palak Patel Canada

Evi Goulielmaki Greece

Elizabeth Carlson United States

Wenmin Zhang China

Dan Sha China

Karishma D’Sa United Kingdom

Kevin Menden

150 ×1.2

MB

23 ×0.5

PHYSI

54 ×1.3

CR

41 ×1.4

NEURO

23 ×0.9

NEURO

Citations per year, relative to Kevin Menden Kevin Menden (= 1×) peers Karishma D’Sa

Countries citing papers authored by Kevin Menden

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Menden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Menden

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

All Works

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9 of 9 papers shown

1.

Menden, Kevin, Margherita Francescatto, Cornelis Blauwendraat, et al.. (2023). A multi-omics dataset for the analysis of frontotemporal dementia genetic subtypes. Scientific Data. 10(1). 849–849. 6 indexed citations

2.

Heumos, Lukas, Luis Kuhn Cuellar, Kevin Menden, et al.. (2023). mlf-core: a framework for deterministic machine learning. Bioinformatics. 39(4). 2 indexed citations

3.

Menden, Kevin, et al.. (2023). Pathogen detection in RNA-seq data with Pathonoia. BMC Bioinformatics. 24(1). 53–53. 3 indexed citations

4.

Miedema, Suzanne S. M., Merel O. Mol, Frank Koopmans, et al.. (2022). Distinct cell type-specific protein signatures in GRN and MAPT genetic subtypes of frontotemporal dementia. Acta Neuropathologica Communications. 10(1). 100–100. 17 indexed citations

5.

Nalls, Mike A., Cornelis Blauwendraat, Lana Sargent, et al.. (2021). Evidence for GRN connecting multiple neurodegenerative diseases. Brain Communications. 3(2). fcab095–fcab095. 27 indexed citations

6.

Lamb, David, Karsten Quast, Katrin Fundel‐Clemens, et al.. (2021). RORγt inhibitors block both IL-17 and IL-22 conferring a potential advantage over anti-IL-17 alone to treat severe asthma. Respiratory Research. 22(1). 158–158. 15 indexed citations

7.

Espinosa‐Carrasco, Jose, Michael Heuer, Gisela Gabernet, et al.. (2021). nf-core/viralrecon: nf-core/viralrecon v2.2 - Tin Turtle. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations

8.

Menden, Kevin, Mohamed Marouf, Sergio Oller Moreno, et al.. (2020). Deep learning–based cell composition analysis from tissue expression profiles. Science Advances. 6(30). eaba2619–eaba2619. 129 indexed citations

9.

Rödelsperger, Christian, Kevin Menden, Vahan Serobyan, Hanh Witte, & Praveen Baskaran. (2016). First insights into the nature and evolution of antisense transcription in nematodes. BMC Evolutionary Biology. 16(1). 165–165. 11 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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