J.G.M. Rack
Impact in
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
Papers in
- Physiology 19
- Calcium signaling and nucleotide metabolism 18
- Adenosine and Purinergic Signaling 2
- Oncology 25
- PARP inhibition in cancer therapy 25
- Co-authors
- Ivan Ahel (27 shared papers)Pietro Fontana (2 shared papers)Ian Gibbs‐Seymour (1 shared paper)Dragutin Perina (1 shared paper)Mathias Ziegler (4 shared papers)Evgeniia A. Prokhorova (4 shared papers)Marcin J. Suskiewicz (2 shared papers)Christian Dölle (1 shared paper)
- Journals
- Nature Communications (4 papers)Molecular Cell (4 papers)Organic Letters (3 papers)Open Biology (2 papers)Science Advances (2 papers)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
J.G.M. Rack
33 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 89
- Physiology 394
- Geriatrics and Gerontology 151
- Oncology 1.0k
- Immunology 423
- Molecular Biology 796
Countries citing papers authored by J.G.M. Rack
This map shows the geographic impact of J.G.M. Rack'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 J.G.M. Rack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.G.M. Rack more than expected).
Fields of papers citing papers by J.G.M. Rack
This network shows the impact of papers produced by J.G.M. Rack. 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 J.G.M. Rack. The network helps show where J.G.M. Rack may publish in the future.
Co-authors
The 25 scholars most cited alongside J.G.M. Rack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 256 | |
| 2 | 2016 | 175 | |
| 3 | 2021 | 137 | |
| 4 | 2019 | 124 | |
| 5 | 2023 | 121 | |
| 6 | 2013 | 93 | |
| 7 | 2015 | 80 | |
| 8 | 2020 | 59 | |
| 9 | 2018 | 59 | |
| 10 | 2021 | 53 | |
| 11 | 2013 | 51 | |
| 12 | 2023 | 50 | |
| 13 | 2018 | 44 | |
| 14 | 2021 | 39 | |
| 15 | 2023 | 36 | |
| 16 | 2023 | 35 | |
| 17 | 2021 | 30 | |
| 18 | 2014 | 29 | |
| 19 | 2023 | 22 | |
| 20 | 2018 | 20 |
About J.G.M. Rack
J.G.M. Rack is a scholar working on Physiology, Oncology, Immunology, Geriatrics and Gerontology and Molecular Biology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (25 papers), Toxin Mechanisms and Immunotoxins (18 papers), Calcium signaling and nucleotide metabolism (18 papers), Sirtuins and Resveratrol in Medicine (7 papers), DNA Repair Mechanisms (4 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers), Signaling Pathways in Disease (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (394 citations), Geriatrics and Gerontology (151 citations), Oncology (1.0k citations), Immunology (423 citations) and Molecular Biology (796 citations). J.G.M. Rack has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Ivan Ahel, Pietro Fontana, Ian Gibbs‐Seymour, Dragutin Perina, Mathias Ziegler, Evgeniia A. Prokhorova, Marcin J. Suskiewicz, Christian Dölle, Dmitri V. Filippov and A. Ariza. Their work appears in journals such as Nature Communications, Molecular Cell, Organic Letters, Open Biology and Science Advances.
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.