Juha Kuja‐Panula
- Molecular Biology top 10%
- Clinical Biochemistry top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Immunology top 10%
- Neurology top 5%
- Co-authors
- Heikki RauvalaHenri J. HuttunenGuglielmo SorciRosario DonatoAnna Lisa AgnelettiAri RouhiainenAnne J. RidleyCarole Fages
- Topics
- Advanced Glycation End Products research (7 papers)S100 Proteins and Annexins (5 papers)Neuroscience and Neuropharmacology Research (4 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- FinlandUnited StatesGermany
In The Last Decade
Juha Kuja‐Panula
22 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.0k
- Clinical Biochemistry 666
- Cellular and Molecular Neuroscience 320
- Immunology 308
- Neurology 187
Countries citing papers authored by Juha Kuja‐Panula
This map shows the geographic impact of Juha Kuja‐Panula'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 Juha Kuja‐Panula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juha Kuja‐Panula more than expected).
Fields of papers citing papers by Juha Kuja‐Panula
This network shows the impact of papers produced by Juha Kuja‐Panula. 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 Juha Kuja‐Panula. The network helps show where Juha Kuja‐Panula may publish in the future.
Co-authorship network of co-authors of Juha Kuja‐Panula
This figure shows the co-authorship network connecting the top 25 collaborators of Juha Kuja‐Panula. A scholar is included among the top collaborators of Juha Kuja‐Panula based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juha Kuja‐Panula. Juha Kuja‐Panula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 197 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 37 | |
| 6 | 18 | |
| 7 | 41 | |
| 8 | 24 | |
| 9 | HMGB1 and Acetylated HMGB1 as Predictive Markers of Severe Acute Pancreatitis | 1 |
| 10 | 14 | |
| 11 | 35 | |
| 12 | 87 | |
| 13 | 27 | |
| 14 | 55 | |
| 15 | 42 | |
| 16 | 94 | |
| 17 | 41 | |
| 18 | 149 | |
| 19 | 125 | |
| 20 | Coregulation of Neurite Outgrowth and Cell Survival by Amphoterin and S100 Proteins through Receptor for Advanced Glycation End Products (RAGE) Activationbreakdown → | 508 |
About Juha Kuja‐Panula
Juha Kuja‐Panula is a scholar working on Clinical Biochemistry, Cellular and Molecular Neuroscience and Cell Biology, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (7 papers), S100 Proteins and Annexins (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Clinical Biochemistry (666 citations), Neurology (187 citations) and Cellular and Molecular Neuroscience (320 citations). Juha Kuja‐Panula has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Heikki Rauvala, Henri J. Huttunen, Guglielmo Sorci, Rosario Donato, Anna Lisa Agneletti, Ari Rouhiainen, Anne J. Ridley, Carole Fages, Takashi Yamashiro and Erkko Ylösmäki. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.