Marja Puurunen
About
In The Last Decade
Marja Puurunen
45 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Rheumatology 667
- Cardiology and Cardiovascular Medicine 460
- Hematology 420
- Immunology 379
- Molecular Biology 377
Countries citing papers authored by Marja Puurunen
This map shows the geographic impact of Marja Puurunen'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 Marja Puurunen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marja Puurunen more than expected).
Fields of papers citing papers by Marja Puurunen
This network shows the impact of papers produced by Marja Puurunen. 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 Marja Puurunen. The network helps show where Marja Puurunen may publish in the future.
Co-authorship network of co-authors of Marja Puurunen
This figure shows the co-authorship network connecting the top 25 collaborators of Marja Puurunen. A scholar is included among the top collaborators of Marja Puurunen 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 Marja Puurunen. Marja Puurunen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 1 | |
| 3 | 19 | |
| 4 | 13 | |
| 5 | 105 | |
| 6 | An engineered E. coli Nissle improves hyperammonemia and survival in mice and shows dose-dependent exposure in healthy humans breakdown → | 280 |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 87 | |
| 10 | 13 | |
| 11 | 6 | |
| 12 | 17 | |
| 13 | 27 | |
| 14 | 32 | |
| 15 | 21 | |
| 16 | 16 | |
| 17 | 15 | |
| 18 | 16 | |
| 19 | 70 | |
| 20 | 27 |
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.