Albert J. R. Heck
- Spectroscopy top 0.01%
- Mass Spectrometry Techniques and Applications 249
- Advanced Proteomics Techniques and Applications 211
- Analytical Chemistry and Chromatography 53
- Molecular Biology top 0.02%
- Glycosylation and Glycoproteins Research 82
- RNA and protein synthesis mechanisms 56
- Metabolomics and Mass Spectrometry Studies 53
- Cell Biology top 0.05%
- Aging top 0.5%
- Immunology top 0.2%
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- Monoclonal and Polyclonal Antibodies Research 73
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- Enzyme Structure and Function 62
- Co-authors
- Shabaz MohammedMaarten AltelaarPaul J. BoersemaJeroen KrijgsveldSimone LemeerRobert H. H. van den HeuvelMonique SlijperReinout Raijmakers
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Albert J. R. Heck
802 papers receiving 49.8k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Spectroscopy 17.2k
- Molecular Biology 33.6k
- Cell Biology 4.7k
- Aging 370
- Immunology 4.4k
Countries citing papers authored by Albert J. R. Heck
This map shows the geographic impact of Albert J. R. Heck'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 Albert J. R. Heck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert J. R. Heck more than expected).
Fields of papers citing papers by Albert J. R. Heck
This network shows the impact of papers produced by Albert J. R. Heck. 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 Albert J. R. Heck. The network helps show where Albert J. R. Heck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Albert J. R. Heck, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 13 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | Structural specializations of the sperm tailbreakdown → | 2023 | 69 |
| 9 | 2021 | 32 | |
| 10 | 2021 | 28 | |
| 11 | 2016 | 270 | |
| 12 | 2015 | 7 | |
| 13 | Monitoring the Interaction between beta(2)-Microglobulin and the Molecular Chaperone alpha B-crystallin by NMR and Mass Spectrometry alpha B-CRYSTALLIN DISSOCIATES beta(2)-MICROGLOBULIN OLIGOMERS | 2013 | 2 |
| 14 | 2011 | 24 | |
| 15 | 2009 | 61 | |
| 16 | 2009 | 23 | |
| 17 | 2006 | 12 | |
| 18 | 2005 | 136 | |
| 19 | 2003 | 336 | |
| 20 | 2002 | 33 |
About Albert J. R. Heck
Albert J. R. Heck is a scholar working on Spectroscopy, Molecular Biology and Cell Biology, having authored 815 papers that have together received 50.5k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (249 papers), Advanced Proteomics Techniques and Applications (211 papers), Glycosylation and Glycoproteins Research (82 papers), Monoclonal and Polyclonal Antibodies Research (73 papers), Enzyme Structure and Function (62 papers), RNA and protein synthesis mechanisms (56 papers), Metabolomics and Mass Spectrometry Studies (53 papers) and Analytical Chemistry and Chromatography (53 papers). The work is most often cited by research in Spectroscopy (17.2k citations), Molecular Biology (33.6k citations) and Cell Biology (4.7k citations). Albert J. R. Heck has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Shabaz Mohammed, Maarten Altelaar, Paul J. Boersema, Jeroen Krijgsveld, Simone Lemeer, Robert H. H. van den Heuvel, Monique Slijper, Reinout Raijmakers, Esther van Duijn and Martijn W. H. Pinkse. Their work appears in journals such as Nature, Science and Cell.
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.