Colin Combe

1.5k citations
11 papers · 478 · h-index 7

Impact in

Papers in

    • Bioinformatics and Genomic Networks 6
    • Microbial Metabolic Engineering and Bioproduction 4
    • Metabolomics and Mass Spectrometry Studies 4
    • Genomics and Phylogenetic Studies 3
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Advanced Proteomics Techniques and Applications 5
    • Mass Spectrometry Techniques and Applications 4

Colin Combe

10 papers receiving 475 citations

Peers

Colin Combe
Comparison fields: 5 of 58
  • Spectroscopy 156
  • Structural Biology 10
  • Molecular Biology 411
  • Cell Biology 59
  • Virology 8
Replace Sven H. Giese with:
Sven H. Giese Germany
Ilan E. Chemmama United States
Tomislav Kamenski Germany
Yaroslav Nikolaev Switzerland
Danielle Vellucci United States
Athit Kao United States
Daniel J. Saltzberg United States
Anna Caroline E. Dahl United Kingdom
Eviatar Natan United Kingdom
Kamil Tamiola Netherlands
Colin Combe relative to Sven H. Giese Germany Sven H. Giese's profile →
Citations per field
00.5×
Sven H. Giese · 1×
Citations per year

Countries citing papers authored by Colin Combe

Since Specialization
Citations

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

Fields of papers citing papers by Colin Combe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2015212
2 2019142
3 202137
4 202434
5 201830
6 201710
7 20246
8 20243
9 20183
10 20171
11 20250

About Colin Combe

Colin Combe is a scholar working on Molecular Biology, Spectroscopy, Information Systems and Management, Computational Theory and Mathematics and Infectious Diseases, having authored 11 papers that have together received 478 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Genomics and Phylogenetic Studies (3 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Spectroscopy (156 citations), Structural Biology (10 citations), Molecular Biology (411 citations), Cell Biology (59 citations) and Virology (8 citations). Colin Combe has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Juri Rappsilber, Lutz Fischer, Lars Kolbowski, Martin Graham, Marta Barbon, Sven H. Giese, Wolfgang Baumeister, Therese Dau, Zhuo A. Chen and Marta Mendes. Their work appears in journals such as Nucleic Acids Research, Molecular & Cellular Proteomics, BMC Bioinformatics, Journal of Molecular Biology and Bioinformatics.

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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