H. Schüler
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism 11
- Oncology top 1%
- PARP inhibition in cancer therapy 34
- Immunology top 2%
- Toxin Mechanisms and Immunotoxins 20
- Invertebrate Immune Response Mechanisms 8
- Molecular Biology top 2%
- Parasitology top 2%
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- Malaria Research and Control 12
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- Integrated Circuits and Semiconductor Failure Analysis 10
- Electrostatic Discharge in Electronics 10
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- Trypanosoma species research and implications 9
- Co-authors
- T. KarlbergBernhard LüscherMichael O. HottigerKai MatuschewskiFriedrich Koch‐NoltePaul O. HassaA.G. ThorsellT. Ekblad
- Cited by
- PhysiologyOncologyImmunology
- Journals
- Journal of Biological Chemistry (10 papers)Journal of Medicinal Chemistry (7 papers)PLoS ONE (5 papers)
- Partner nations
- SwedenGermanyUnited States
In The Last Decade
H. Schüler
91 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Physiology 478
- Oncology 2.1k
- Immunology 1.1k
- Molecular Biology 2.6k
- Parasitology 228
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 20 | |
| 4 | 2016 | 9 | |
| 5 | 2016 | 12 | |
| 6 | 2015 | 43 | |
| 7 | 2013 | 106 | |
| 8 | 2013 | 56 | |
| 9 | 2012 | 24 | |
| 10 | 2011 | 30 | |
| 11 | 2011 | 30 | |
| 12 | 2011 | 72 | |
| 13 | 2009 | 37 | |
| 14 | 2008 | 2 | |
| 15 | 2006 | 45 | |
| 16 | 2006 | 10 | |
| 17 | 2006 | 5 | |
| 18 | 2005 | 65 | |
| 19 | 2004 | 77 | |
| 20 | 2000 | 7 |
About H. Schüler
H. Schüler is a scholar working on Physiology, Immunology and Oncology, having authored 93 papers that have together received 4.6k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (34 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 Invertebrate Immune Response Mechanisms (8 papers). The work is most often cited by research in Physiology (478 citations), Oncology (2.1k citations) and Immunology (1.1k citations). H. Schüler has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include T. Karlberg, Bernhard Lüscher, Michael O. Hottiger, Kai Matuschewski, 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, Nature Communications and FEBS Journal.
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.