Daniel Jaschob

994 total citations
14 papers, 673 citations indexed

About

Daniel Jaschob is a scholar working on Molecular Biology, Spectroscopy and Computer Networks and Communications. According to data from OpenAlex, Daniel Jaschob has authored 14 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Spectroscopy and 1 paper in Computer Networks and Communications. Recurrent topics in Daniel Jaschob's work include Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Protein Structure and Dynamics (3 papers). Daniel Jaschob is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Protein Structure and Dynamics (3 papers). Daniel Jaschob collaborates with scholars based in United States, Russia and Canada. Daniel Jaschob's co-authors include Michael Riffle, Trisha N. Davis, Johnny M. Tkach, Jiongwen Ou, Anna Y. Lee, Askar Yimit, Jason Moffat, Michael Costanzo, Jason A. Hendry and Charles Boone and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Analytical Chemistry.

In The Last Decade

Daniel Jaschob

14 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Jaschob United States 7 593 110 109 64 57 14 673
Cristina Viéitez Germany 9 521 0.9× 128 1.2× 69 0.6× 33 0.5× 40 0.7× 10 685
Vincent Messier Canada 7 684 1.2× 48 0.4× 156 1.4× 18 0.3× 30 0.5× 8 750
Beth Graczyk United States 7 532 0.9× 71 0.6× 267 2.4× 47 0.7× 106 1.9× 10 625
Isabelle Gagnon‐Arsenault Canada 15 540 0.9× 31 0.3× 77 0.7× 49 0.8× 89 1.6× 27 654
A. Dong United States 6 1.0k 1.7× 31 0.3× 23 0.2× 91 1.4× 22 0.4× 8 1.1k
Joost W. Gouw Netherlands 16 791 1.3× 557 5.1× 64 0.6× 49 0.8× 69 1.2× 23 1.1k
Guillaume Diss Canada 14 643 1.1× 23 0.2× 63 0.6× 34 0.5× 66 1.2× 25 740
Mona Radwan Australia 8 231 0.4× 45 0.4× 70 0.6× 21 0.3× 24 0.4× 10 462
Li Kung United States 6 542 0.9× 45 0.4× 59 0.5× 9 0.1× 61 1.1× 8 605
Jon M. Laurent United States 9 543 0.9× 28 0.3× 58 0.5× 19 0.3× 69 1.2× 15 658

Countries citing papers authored by Daniel Jaschob

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jaschob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Jaschob

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

All Works

14 of 14 papers shown
1.
Riffle, Michael, Alex Zelter, Daniel Jaschob, et al.. (2025). Limelight: An Open, Web-Based Tool for Visualizing, Sharing, and Analyzing Mass Spectrometry Data from DDA Pipelines. Journal of Proteome Research. 24(4). 1895–1906. 1 indexed citations
2.
Zelter, Alex, Michael Riffle, David Shteynberg, et al.. (2024). Detection and Quantification of Drug–Protein Adducts in Human Liver. Journal of Proteome Research. 23(11). 5143–5152. 1 indexed citations
3.
Riffle, Michael, Michael R. Hoopmann, Daniel Jaschob, et al.. (2022). Discovery and Visualization of Uncharacterized Drug–Protein Adducts Using Mass Spectrometry. Analytical Chemistry. 94(8). 3501–3509. 11 indexed citations
4.
Riffle, Michael, Daniel Jaschob, Alex Zelter, & Trisha N. Davis. (2018). Proxl (Protein Cross-Linking Database): A Public Server, QC Tools, and Other Major Updates. Journal of Proteome Research. 18(2). 759–764. 6 indexed citations
5.
Riffle, Michael, Damon May, Emma Timmins‐Schiffman, et al.. (2017). MetaGOmics: A Web-Based Tool for Peptide-Centric Functional and Taxonomic Analysis of Metaproteomics Data. Proteomes. 6(1). 2–2. 44 indexed citations
6.
Riffle, Michael, Daniel Jaschob, Alex Zelter, & Trisha N. Davis. (2016). ProXL (Protein Cross-Linking Database): A Platform for Analysis, Visualization, and Sharing of Protein Cross-Linking Mass Spectrometry Data. Journal of Proteome Research. 15(8). 2863–2870. 51 indexed citations
7.
Jaschob, Daniel, Trisha N. Davis, & Michael Riffle. (2015). Mason: a JavaScript web site widget for visualizing and comparing annotated features in nucleotide or protein sequences. BMC Research Notes. 8(1). 70–70. 4 indexed citations
8.
Zelter, Alex, Massimiliano Bonomi, Neil T. Umbreit, et al.. (2015). The molecular architecture of the Dam1 kinetochore complex is defined by cross-linking based structural modelling. Nature Communications. 6(1). 8673–8673. 39 indexed citations
9.
Riffle, Michael, Gennifer E. Merrihew, Daniel Jaschob, et al.. (2015). Visualization and Dissemination of Multidimensional Proteomics Data Comparing Protein Abundance During Caenorhabditis elegans Development. Journal of the American Society for Mass Spectrometry. 26(11). 1827–1836. 6 indexed citations
10.
Bonomi, Massimiliano, Riccardo Pellarin, Seung Joong Kim, et al.. (2014). Determining Protein Complex Structures Based on a Bayesian Model of in Vivo Förster Resonance Energy Transfer (FRET) Data. Molecular & Cellular Proteomics. 13(11). 2812–2823. 26 indexed citations
11.
Jaschob, Daniel, Trisha N. Davis, & Michael Riffle. (2014). SnipViz: a compact and lightweight web site widget for display and dissemination of multiple versions of gene and protein sequences. BMC Research Notes. 7(1). 468–468. 5 indexed citations
12.
Skelly, Daniel A., Gennifer E. Merrihew, Michael Riffle, et al.. (2013). Integrative phenomics reveals insight into the structure of phenotypic diversity in budding yeast. Genome Research. 23(9). 1496–1504. 109 indexed citations
13.
14.
Tkach, Johnny M., Askar Yimit, Anna Y. Lee, et al.. (2012). Dissecting DNA damage response pathways by analysing protein localization and abundance changes during DNA replication stress. Nature Cell Biology. 14(9). 966–976. 367 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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