Darren Kessner

8.1k total citations · 2 hit papers
7 papers, 2.2k citations indexed

About

Darren Kessner is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Darren Kessner has authored 7 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Spectroscopy. Recurrent topics in Darren Kessner's work include Advanced Proteomics Techniques and Applications (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Mass Spectrometry Techniques and Applications (2 papers). Darren Kessner is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Mass Spectrometry Techniques and Applications (2 papers). Darren Kessner collaborates with scholars based in United States, United Kingdom and Sweden. Darren Kessner's co-authors include David B. Agus, Parag Mallick, Matt Chambers, Robert Burke, John Novembre, Steffen Neumann, Henning Hermjakob, Puneet Souda, Mike Coleman and Eric W. Deutsch and has published in prestigious journals such as Nature Genetics, Bioinformatics and Genetics.

In The Last Decade

Darren Kessner

7 papers receiving 2.2k citations

Hit Papers

ProteoWizard: open source software for rapid proteomics t... 2008 2026 2014 2020 2008 2010 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darren Kessner United States 7 1.6k 983 194 153 147 7 2.2k
Therese RW Clauss United States 24 1.5k 0.9× 631 0.6× 187 1.0× 175 1.1× 106 0.7× 33 2.3k
Konstantinos Pétritis United States 28 1.6k 1.0× 1.6k 1.7× 177 0.9× 117 0.8× 333 2.3× 53 2.9k
Michael Mülleder United Kingdom 23 1.6k 1.0× 433 0.4× 130 0.7× 139 0.9× 164 1.1× 51 2.2k
Gavain M.A. Sweetman United Kingdom 14 2.3k 1.4× 1.6k 1.6× 123 0.6× 96 0.6× 92 0.6× 19 3.0k
Brian C. Searle United States 20 2.2k 1.4× 1.7k 1.7× 98 0.5× 113 0.7× 108 0.7× 59 2.9k
Subhakar Dey United States 9 2.7k 1.7× 2.1k 2.1× 144 0.7× 223 1.5× 116 0.8× 15 3.8k
Fredrik Levander Sweden 31 1.9k 1.2× 1.1k 1.1× 141 0.7× 612 4.0× 188 1.3× 96 3.2k
Mark Williams United Kingdom 19 1.8k 1.1× 287 0.3× 311 1.6× 131 0.9× 168 1.1× 32 2.4k
Elizabeth Kimball United States 8 2.5k 1.6× 554 0.6× 406 2.1× 100 0.7× 306 2.1× 8 3.0k
Subhasish Purkayastha United States 7 2.7k 1.7× 2.2k 2.2× 153 0.8× 220 1.4× 116 0.8× 9 3.8k

Countries citing papers authored by Darren Kessner

Since Specialization
Citations

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

Fields of papers citing papers by Darren Kessner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darren Kessner

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

All Works

7 of 7 papers shown
1.
Kessner, Darren & John Novembre. (2015). Power Analysis of Artificial Selection Experiments Using Efficient Whole Genome Simulation of Quantitative Traits. Genetics. 199(4). 991–1005. 37 indexed citations
2.
Kessner, Darren & John Novembre. (2013). forqs: forward-in-time simulation of recombination, quantitative traits and selection. Bioinformatics. 30(4). 576–577. 29 indexed citations
3.
Rubio, Justin P., Simon Topp, Liling Warren, et al.. (2012). Deep sequencing of theLRRK2gene in 14,002 individuals reveals evidence of purifying selection and independent origin of the p.Arg1628Pro mutation in Europe. Human Mutation. 33(7). 1087–1098. 24 indexed citations
4.
Wegmann, Daniel, Darren Kessner, Krishna R. Veeramah, et al.. (2011). Recombination rates in admixed individuals identified by ancestry-based inference. Nature Genetics. 43(9). 847–853. 79 indexed citations
5.
Martens, Lennart, Matthew Chambers, Marc Sturm, et al.. (2010). mzML—a Community Standard for Mass Spectrometry Data. Molecular & Cellular Proteomics. 10(1). R110.000133–R110.000133. 507 indexed citations breakdown →
6.
Luethy, Roland, Darren Kessner, Jonathan E. Katz, et al.. (2008). Precursor-Ion Mass Re-Estimation Improves Peptide Identification on Hybrid Instruments. Journal of Proteome Research. 7(9). 4031–4039. 46 indexed citations
7.
Kessner, Darren, Matt Chambers, Robert Burke, David B. Agus, & Parag Mallick. (2008). ProteoWizard: open source software for rapid proteomics tools development. Bioinformatics. 24(21). 2534–2536. 1484 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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