Daniel Crowther

1.3k citations
27 papers · 1.0k · h-index 15

Impact in

Papers in

    • Bioinformatics and Genomic Networks 8
    • Gene expression and cancer classification 5
    • Fungal and yeast genetics research 3
    • Metabolomics and Mass Spectrometry Studies 3
    • Advanced Proteomics Techniques and Applications 6
    • Mass Spectrometry Techniques and Applications 5

Daniel Crowther

26 papers receiving 993 citations

Peers

Daniel Crowther
Comparison fields: 5 of 113
  • Sensory Systems 155
  • Biochemistry 73
  • Spectroscopy 160
  • Molecular Biology 566
  • Physiology 166
Replace Bernard P. Kok with:
Bernard P. Kok United States
Charis L. Uhlson United States
Oana A. Zeleznik United States
Maria Lisa Garavaglia Italy
B Berthon France
Lucy Martine France
James G. Burchfield Australia
Peter Krippeit‐Drews Germany
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Citations per field
00.5×4.3×
Bernard P. Kok · 1×
Citations per year

Countries citing papers authored by Daniel Crowther

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Crowther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Crowther, 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 Crowther Line = papers co-authored together Daniel Crowther links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006232
2 2001190
3 200489
4 201184
5 200657
6 201552
7 200546
8 201743
9 199436
10 200630
11 201024
12 200521
13 200521
14 201214
15 200214
16 199412
17 20179
18 20117
19 20217
20 20234

About Daniel Crowther

Daniel Crowther is a scholar working on Molecular Biology, Spectroscopy, Computational Theory and Mathematics, Cell Biology and Physiology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Advanced Proteomics Techniques and Applications (6 papers), Gene expression and cancer classification (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Fungal and yeast genetics research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Sensory Systems (155 citations), Biochemistry (73 citations), Spectroscopy (160 citations), Molecular Biology (566 citations) and Physiology (166 citations). Daniel Crowther has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Paul A. Wilson, Scott D. Gardner, Stéphane Commans, Ian Shadforth, Conrad Bessant, Wen Wu, John N. Haselden, Susan C. Connor, Brian C. Sweatman and Chee Gee See. Their work appears in journals such as PLoS ONE, Scientific Reports, Molecular and Cellular Biology, PROTEOMICS and Biomarkers.

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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