H. Schüler
Impact in
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism
- Oncology top 1%
- PARP inhibition in cancer therapy
Papers in
- Oncology 35
- PARP inhibition in cancer therapy 35
- Co-authors
- T. Karlberg (32 shared papers)Bernhard Lüscher (3 shared papers)Kai Matuschewski (11 shared papers)Michael O. Hottiger (3 shared papers)Friedrich Koch‐Nolte (1 shared paper)Paul O. Hassa (1 shared paper)A.G. Thorsell (20 shared papers)T. Ekblad (12 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)Journal of Medicinal Chemistry (7 papers)PLoS ONE (5 papers)FEBS Journal (4 papers)Nature Communications (4 papers)
- Partner nations
- SwedenGermanyUnited States
In The Last Decade
H. Schüler
94 papers receiving 4.7k citations
H. Schüler's Hit Papers
Peers
Comparison fields: 5 of 121
- Physiology 476
- Oncology 2.1k
- Immunology 1.1k
- Molecular Biology 2.7k
- Parasitology 251
Countries citing papers authored by H. Schüler
This map shows the geographic impact of H. Schüler'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 H. Schüler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Schüler more than expected).
Fields of papers citing papers by H. Schüler
This network shows the impact of papers produced by H. Schüler. 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 H. Schüler. The network helps show where H. Schüler may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Schüler, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Toward a unified nomenclature for mammalian ADP-ribosyltransferases Hit paper breakdown → | 2010 | 704 |
| 2 | 2012 | 394 | |
| 3 | 2016 | 278 | |
| 4 | 2012 | 165 | |
| 5 | 2010 | 134 | |
| 6 | 2010 | 129 | |
| 7 | 2009 | 119 | |
| 8 | 2013 | 108 | |
| 9 | 2011 | 107 | |
| 10 | 2010 | 101 | |
| 11 | 2010 | 99 | |
| 12 | 2019 | 96 | |
| 13 | 2009 | 87 | |
| 14 | 2015 | 85 | |
| 15 | 2004 | 83 | |
| 16 | 2002 | 78 | |
| 17 | 2011 | 75 | |
| 18 | 2010 | 70 | |
| 19 | 2005 | 69 | |
| 20 | 2015 | 69 |
About H. Schüler
H. Schüler is a scholar working on Molecular Biology, Oncology, Immunology, Electrical and Electronic Engineering and Public Health, Environmental and Occupational Health, having authored 96 papers that have together received 4.8k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (35 papers), Toxin Mechanisms and Immunotoxins (20 papers), Malaria Research and Control (12 papers), Calcium signaling and nucleotide metabolism (11 papers), Integrated Circuits and Semiconductor Failure Analysis (10 papers), Electrostatic Discharge in Electronics (10 papers), Trypanosoma species research and implications (9 papers) and Cellular Mechanics and Interactions (9 papers). The work is most often cited by research in Physiology (476 citations), Oncology (2.1k citations), Immunology (1.1k citations), Molecular Biology (2.7k citations) and Parasitology (251 citations). H. Schüler has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include T. Karlberg, Bernhard Lüscher, Kai Matuschewski, Michael O. Hottiger, Friedrich Koch‐Nolte, Paul O. Hassa, A.G. Thorsell, T. Ekblad, L. Lehtiö and M. Hammarstrom. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, PLoS ONE, FEBS Journal and Nature Communications.
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.