Daniel Jaschob

1.0k citations
14 papers · 700 · h-index 8

Impact in

    • Fungal and yeast genetics research
    • DNA Repair Mechanisms
    • RNA and protein synthesis mechanisms
    • Bioinformatics and Genomic Networks
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing

Papers in

    • DNA Repair Mechanisms 2
    • Fungal and yeast genetics research 2
    • Bioinformatics and Genomic Networks 2
    • Protein Structure and Dynamics 2
    • Genomics and Chromatin Dynamics 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • Advanced Proteomics Techniques and Applications 6

Daniel Jaschob

14 papers receiving 697 citations

Peers

Daniel Jaschob
Comparison fields: 5 of 84
  • Molecular Biology 591
  • Aging 15
  • Cell Biology 108
  • Spectroscopy 111
  • Biophysics 30
Replace Cristina Viéitez with:
Cristina Viéitez Germany
Vincent Messier Canada
Marco Necci Italy
Felix Meyenhofer Germany
Isabelle Gagnon‐Arsenault Canada
Beth Graczyk United States
Li Kung United States
Svetlana Pacifico United States
Matthew J. Winters United States
András Hatos Italy
Daniel Jaschob relative to Cristina Viéitez Germany Cristina Viéitez's profile →
Citations per field
00.5×5×10.7×
Cristina Viéitez · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Jaschob, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Jaschob Line = papers co-authored together Daniel Jaschob links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2012374
2 2013112
3 201654
4 201751
5 201539
6 201427
7 202213
8 20188
9 20156
10 20145
11 20154
12 20123
13 20252
14 20242

About Daniel Jaschob

Daniel Jaschob is a scholar working on Molecular Biology, Spectroscopy, Oncology, Computational Theory and Mathematics and Pharmacology, having authored 14 papers that have together received 700 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), DNA Repair Mechanisms (2 papers), Fungal and yeast genetics research (2 papers), Bioinformatics and Genomic Networks (2 papers), Protein Structure and Dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Molecular Biology (591 citations), Aging (15 citations), Cell Biology (108 citations), Spectroscopy (111 citations) and Biophysics (30 citations). Daniel Jaschob has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Michael Riffle, Trisha N. Davis, Askar Yimit, Jason A. Hendry, Jason Moffat, Johnny M. Tkach, Anna Y. Lee, Grant W. Brown, Jiongwen Ou and Corey Nislow. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, Nature Communications, Nature Cell Biology and Journal of the American Society for Mass Spectrometry.

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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