Jaco C. Knol
- Cancer Research top 5%
- MicroRNA in disease regulation 4
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 25
- Mass Spectrometry Techniques and Applications 13
- Molecular Biology top 10%
- Extracellular vesicles in disease 8
- Molecular Biology Techniques and Applications 7
- Glycosylation and Glycoproteins Research 4
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research 5
- Immunology and Allergy top 10%
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- Renal cell carcinoma treatment 4
- Co-authors
- Connie R. JiménezThang V. PhamSander R. PiersmaHenk M.W. VerheulRemond J.A. FijnemanGerrit A. MeijerRudi J. PlantaHarm van Heerikhuizen
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- NetherlandsItalyGermany
In The Last Decade
Jaco C. Knol
65 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 384
- Spectroscopy 377
- Molecular Biology 1.2k
- Oncology 342
- Immunology and Allergy 59
Countries citing papers authored by Jaco C. Knol
This map shows the geographic impact of Jaco C. Knol'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 Jaco C. Knol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaco C. Knol more than expected).
Fields of papers citing papers by Jaco C. Knol
This network shows the impact of papers produced by Jaco C. Knol. 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 Jaco C. Knol. The network helps show where Jaco C. Knol may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaco C. Knol, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 25 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 12 | |
| 11 | 2020 | 30 | |
| 12 | 2019 | 23 | |
| 13 | 2019 | 59 | |
| 14 | 2015 | 39 | |
| 15 | 2015 | 43 | |
| 16 | 2013 | 25 | |
| 17 | 2012 | 6 | |
| 18 | 2009 | 63 | |
| 19 | 2005 | 37 | |
| 20 | 1994 | 8 |
About Jaco C. Knol
Jaco C. Knol is a scholar working on Spectroscopy, Cancer Research and Molecular Biology, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (25 papers), Mass Spectrometry Techniques and Applications (13 papers), Extracellular vesicles in disease (8 papers), Molecular Biology Techniques and Applications (7 papers), Pancreatic and Hepatic Oncology Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Renal cell carcinoma treatment (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (384 citations), Spectroscopy (377 citations) and Molecular Biology (1.2k citations). Jaco C. Knol has collaborated with scholars based in Netherlands, Italy and Germany. Frequent co-authors include Connie R. Jiménez, Thang V. Pham, Sander R. Piersma, Henk M.W. Verheul, Remond J.A. Fijneman, Gerrit A. Meijer, Rudi J. Planta, Harm van Heerikhuizen, Jakob Albrethsen and Meike de Wit. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Neuroscience.
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.