Jacques Colinge
- Immunology top 1%
- interferon and immune responses 8
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments 8
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks 11
- Metabolomics and Mass Spectrometry Studies 6
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 9
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications 24
- Mass Spectrometry Techniques and Applications 12
-
- Cancer Genomics and Diagnostics 10
- Co-authors
- Keiryn L. BennettGiulio Superti‐FurgaMelanie PlanyavskyTilmann BürckstümmerUwe RixGerhard DürnbergerChristoph BaumannAlexey Stukalov
- Partner nations
- AustriaFranceUnited States
In The Last Decade
Jacques Colinge
100 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Immunology 1.8k
- Hematology 730
- Molecular Biology 4.4k
- Genetics 622
- Spectroscopy 892
Countries citing papers authored by Jacques Colinge
This map shows the geographic impact of Jacques Colinge'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 Jacques Colinge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Colinge more than expected).
Fields of papers citing papers by Jacques Colinge
This network shows the impact of papers produced by Jacques Colinge. 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 Jacques Colinge. The network helps show where Jacques Colinge may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacques Colinge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 43 | |
| 7 | 2020 | 237 | |
| 8 | 2019 | 6 | |
| 9 | 2017 | 265 | |
| 10 | Gene essentiality and synthetic lethality in haploid human cellsbreakdown → | 2015 | 559 |
| 11 | 2014 | 20 | |
| 12 | 2014 | 91 | |
| 13 | 2014 | 45 | |
| 14 | 2014 | 5 | |
| 15 | 2011 | 32 | |
| 16 | 2011 | 111 | |
| 17 | 2010 | 18 | |
| 18 | 1998 | 29 | |
| 19 | 1998 | 14 | |
| 20 | 1998 | 7 |
About Jacques Colinge
Jacques Colinge is a scholar working on Spectroscopy, Molecular Biology and Cancer Research, having authored 103 papers that have together received 7.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (24 papers), Mass Spectrometry Techniques and Applications (12 papers), Bioinformatics and Genomic Networks (11 papers), Cancer Genomics and Diagnostics (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), interferon and immune responses (8 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Immunology (1.8k citations), Hematology (730 citations) and Molecular Biology (4.4k citations). Jacques Colinge has collaborated with scholars based in Austria, France and United States. Frequent co-authors include Keiryn L. Bennett, Giulio Superti‐Furga, Melanie Planyavsky, Tilmann Bürckstümmer, Uwe Rix, Gerhard Dürnberger, Christoph Baumann, Alexey Stukalov, Oliver Hantschel and Peter Valent. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Theranostics, Analytical Chemistry and Journal of Glaciology.
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.