Jason Derks

639 total citations · 1 hit paper
4 papers, 208 citations indexed

About

Jason Derks is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Jason Derks has authored 4 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Spectroscopy and 1 paper in Genetics. Recurrent topics in Jason Derks's work include Advanced Proteomics Techniques and Applications (3 papers), Advanced Biosensing Techniques and Applications (2 papers) and Single-cell and spatial transcriptomics (2 papers). Jason Derks is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Advanced Biosensing Techniques and Applications (2 papers) and Single-cell and spatial transcriptomics (2 papers). Jason Derks collaborates with scholars based in United States, Germany and United Kingdom. Jason Derks's co-authors include Nikolai Slavov, Harrison Specht, Andrew Leduc, Saad Khan, R. Gray Huffman, Vadim Demichev, Georg Wallmann, Matthew Willetts, Markus Ralser and Aleksandra A. Petelski and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Genome Research.

In The Last Decade

Jason Derks

4 papers receiving 208 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.

Increasing the throughput of sensitive proteomics by plexDIA

2022 138 citations Jason Derks, Andrew Leduc 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
Jason Derks United States	3	178	155	27	24	12	4	208
Florian A. Rosenberger Germany	8	208 1.2×	111 0.7×	28 1.0×	25 1.0×	17 1.4×	16	256
Hannah Boekweg United States	9	169 0.9×	168 1.1×	20 0.7×	48 2.0×	9 0.8×	10	220
Erika P. Portero United States	8	218 1.2×	214 1.4×	23 0.9×	81 3.4×	24 2.0×	11	300
Kei G. I. Webber United States	9	160 0.9×	172 1.1×	19 0.7×	65 2.7×	5 0.4×	15	237
Nil Üresin Denmark	5	289 1.6×	208 1.3×	26 1.0×	54 2.3×	32 2.7×	8	364
Carina Ramallo Guevara Germany	7	108 0.6×	59 0.4×	8 0.3×	14 0.6×	24 2.0×	8	149
Ronghui Lou China	7	162 0.9×	143 0.9×	5 0.2×	14 0.6×	4 0.3×	8	224
Elita M. DeFeo United States	8	203 1.1×	56 0.4×	12 0.4×	15 0.6×	48 4.0×	9	378
Rosemary M. Onjiko United States	8	360 2.0×	363 2.3×	41 1.5×	123 5.1×	24 2.0×	10	498
Tara K. Bartolec Australia	6	181 1.0×	40 0.3×	32 1.2×	11 0.5×	2 0.2×	8	237

Countries citing papers authored by Jason Derks

Since Specialization

Citations

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

Fields of papers citing papers by Jason Derks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Derks

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

All Works

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4 of 4 papers shown

1.

Rengarajan, Shruthi, Jason Derks, Daniel W. Bellott, Nikolai Slavov, & David C. Page. (2025). Post-transcriptional cross- and auto-regulation buffer expression of the human RNA helicases DDX3X and DDX3Y. Genome Research. 35(1). 20–30. 1 indexed citations

2.

Huffman, R. Gray, Andrew Leduc, Christoph Wichmann, et al.. (2023). Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics. Nature Methods. 20(5). 714–722. 56 indexed citations

3.

Derks, Jason & Nikolai Slavov. (2023). Strategies for Increasing the Depth and Throughput of Protein Analysis by plexDIA. Journal of Proteome Research. 22(3). 697–705. 13 indexed citations

4.

Derks, Jason, Andrew Leduc, Georg Wallmann, et al.. (2022). Increasing the throughput of sensitive proteomics by plexDIA. Nature Biotechnology. 41(1). 50–59. 138 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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