Daniel Jaschob

994 citations
14 papers · 673 · h-index 7

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

    • Bioinformatics and Genomic Networks 3
    • Metabolomics and Mass Spectrometry Studies 3
    • Protein Structure and Dynamics 3
    • Genomics and Phylogenetic Studies 2
    • DNA Repair Mechanisms 2
    • Genomics and Chromatin Dynamics 2
    • Fungal and yeast genetics research 2
    • Advanced Proteomics Techniques and Applications 7

Daniel Jaschob

14 papers receiving 671 citations

Peers

Daniel Jaschob
Comparison fields: 5 of 84
  • Molecular Biology 593
  • Aging 15
  • Spectroscopy 110
  • Cell Biology 109
  • Biophysics 30
Replace Cristina Viéitez with:
Cristina Viéitez Germany
Vincent Messier Canada
Isabelle Gagnon‐Arsenault Canada
Felix Meyenhofer Germany
Kalpana Karra United States
Beth Graczyk United States
Li Kung United States
Nicolas Lentze Switzerland
Svetlana Pacifico United States
Jon M. Laurent United States
Daniel Jaschob relative to Cristina Viéitez Germany Cristina Viéitez's profile →
Citations per field
00.5×10.7×
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 2012367
2 2013109
3 201651
4 201744
5 201539
6 201426
7 202211
8 20186
9 20156
10 20145
11 20154
12 20123
13 20251
14 20241

About Daniel Jaschob

Daniel Jaschob is a scholar working on Molecular Biology, Spectroscopy, Computer Networks and Communications, Oncology and Computational Theory and Mathematics, having authored 14 papers that have together received 673 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Bioinformatics and Genomic Networks (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Protein Structure and Dynamics (3 papers), Genomics and Phylogenetic Studies (2 papers), DNA Repair Mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Molecular Biology (593 citations), Aging (15 citations), Spectroscopy (110 citations), Cell Biology (109 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, Jason Moffat, Jason A. Hendry, Anna Y. Lee, Johnny M. Tkach, Askar Yimit, Michael Costanzo, Corey Nislow and Charles Boone. Their work appears in journals such as Journal of Proteome Research, Nature Cell Biology, Journal of the American Society for Mass Spectrometry, Nature Communications and Molecular & Cellular Proteomics.

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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