Marja Nissinen
- Nephrology top 0.5%
- Molecular Biology top 10%
- Genetics top 5%
- Cell Biology top 5%
- Immunology and Allergy top 2%
- Co-authors
- Karl TryggvasonTakako MoritaChrister HolmbergJane E. LamerdinLeena PeltonenPaula McCreadyRiitta HervaMinna Männikkö
- Topics
- Neurofibromatosis and Schwannoma Cases (6 papers)Hereditary Neurological Disorders (4 papers)Sarcoma Diagnosis and Treatment (3 papers)
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Marja Nissinen
19 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Nephrology 1.2k
- Molecular Biology 1.2k
- Genetics 358
- Cell Biology 274
- Immunology and Allergy 272
Countries citing papers authored by Marja Nissinen
This map shows the geographic impact of Marja Nissinen'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 Nissinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marja Nissinen more than expected).
Fields of papers citing papers by Marja Nissinen
This network shows the impact of papers produced by Marja Nissinen. 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 Nissinen. The network helps show where Marja Nissinen may publish in the future.
Co-authorship network of co-authors of Marja Nissinen
This figure shows the co-authorship network connecting the top 25 collaborators of Marja Nissinen. A scholar is included among the top collaborators of Marja Nissinen 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 Nissinen. Marja Nissinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 66 | |
| 6 | 44 | |
| 7 | 36 | |
| 8 | 28 | |
| 9 | 23 | |
| 10 | 21 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 60 | |
| 14 | 11 | |
| 15 | 72 | |
| 16 | Positionally Cloned Gene for a Novel Glomerular Protein—Nephrin—Is Mutated in Congenital Nephrotic Syndromebreakdown → | 1429 |
| 17 | Substitution of a conserved cysteine-996 in a cysteine-rich motif of the laminin alpha2-chain in congenital muscular dystrophy with partial deficiency of the protein. | 71 |
| 18 | 228 | |
| 19 | 89 |
About Marja Nissinen
Marja Nissinen is a scholar working on Immunology and Allergy, Neurology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (6 papers), Hereditary Neurological Disorders (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Nephrology (1.2k citations), Immunology and Allergy (272 citations) and Cell Biology (274 citations). Marja Nissinen has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Karl Tryggvason, Takako Morita, Christer Holmberg, Jane E. Lamerdin, Leena Peltonen, Paula McCready, Riitta Herva, Minna Männikkö, Heli Putaala and Clifford E. Kashtan. Their work appears in journals such as The Journal of Cell Biology, Molecular Cell and Biochemical 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.