Heikki Rauvala
- Clinical Biochemistry top 0.02%
- Advanced Glycation End Products research 26
- Cell Biology top 0.1%
- Proteoglycans and glycosaminoglycans research 46
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research 26
- Developmental Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 18
- Nerve injury and regeneration 14
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- Glycosylation and Glycoproteins Research 44
- S100 Proteins and Annexins 16
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- Carbohydrate Chemistry and Synthesis 14
- Co-authors
- Henri J. HuttunenVootele VõikarJuha Kuja‐PanulaCarole FagesJukka FinneAri RouhiainenJussi MerenmiesMerja Lakso
- Partner nations
- FinlandUnited StatesJapan
In The Last Decade
Heikki Rauvala
187 papers receiving 17.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Clinical Biochemistry 3.1k
- Cell Biology 3.8k
- Immunology and Allergy 1.3k
- Developmental Neuroscience 771
- Cellular and Molecular Neuroscience 3.1k
Countries citing papers authored by Heikki Rauvala
This map shows the geographic impact of Heikki Rauvala'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 Heikki Rauvala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heikki Rauvala more than expected).
Fields of papers citing papers by Heikki Rauvala
This network shows the impact of papers produced by Heikki Rauvala. 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 Heikki Rauvala. The network helps show where Heikki Rauvala may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heikki Rauvala, 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 | 2021 | 3 | |
| 2 | 2017 | 8 | |
| 3 | 2016 | 64 | |
| 4 | 2016 | 50 | |
| 5 | HMGB1 and Acetylated HMGB1 as Predictive Markers of Severe Acute Pancreatitis | 2014 | 1 |
| 6 | 2014 | 33 | |
| 7 | 2012 | 35 | |
| 8 | 2011 | 40 | |
| 9 | 2011 | 27 | |
| 10 | GDNF receptors as a drug target for neural repair | 2007 | 1 |
| 11 | 2006 | 19 | |
| 12 | 2001 | 173 | |
| 13 | 2000 | 65 | |
| 14 | 1999 | 27 | |
| 15 | 1998 | 138 | |
| 16 | 1998 | 1 | |
| 17 | 1996 | 109 | |
| 18 | 1996 | 35 | |
| 19 | 1992 | 85 | |
| 20 | 1989 | 119 |
About Heikki Rauvala
Heikki Rauvala is a scholar working on Immunology and Allergy, Clinical Biochemistry and Cell Biology, having authored 188 papers that have together received 17.6k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (46 papers), Glycosylation and Glycoproteins Research (44 papers), Advanced Glycation End Products research (26 papers), Cell Adhesion Molecules Research (26 papers), Neuroscience and Neuropharmacology Research (18 papers), S100 Proteins and Annexins (16 papers), Nerve injury and regeneration (14 papers) and Carbohydrate Chemistry and Synthesis (14 papers). The work is most often cited by research in Clinical Biochemistry (3.1k citations), Cell Biology (3.8k citations) and Immunology and Allergy (1.3k citations). Heikki Rauvala has collaborated with scholars based in Finland, United States and Japan. Frequent co-authors include Henri J. Huttunen, Vootele Võikar, Juha Kuja‐Panula, Carole Fages, Jukka Finne, Ari Rouhiainen, Jussi Merenmies, Merja Lakso, Tom Krusius and Erkki Raulo. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.