Konstantina Nika
- Immunology top 2%
- Genetics top 2%
- Molecular Biology top 10%
- Surgery top 10%
- Materials Chemistry top 10%
- Co-authors
- Tomas MustelinNunzio BottiniLucia MusumeciSouad RahmouniAndrés AlonsoMaurizio PellecchiaGeorge S. EisenbarthJames P. MacMurray
- Topics
- Protein Tyrosine Phosphatases (8 papers)T-cell and B-cell Immunology (5 papers)Immune Cell Function and Interaction (4 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Konstantina Nika
18 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 1.3k
- Genetics 1.1k
- Molecular Biology 1.1k
- Surgery 428
- Materials Chemistry 404
Countries citing papers authored by Konstantina Nika
This map shows the geographic impact of Konstantina Nika'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 Konstantina Nika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantina Nika more than expected).
Fields of papers citing papers by Konstantina Nika
This network shows the impact of papers produced by Konstantina Nika. 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 Konstantina Nika. The network helps show where Konstantina Nika may publish in the future.
Co-authorship network of co-authors of Konstantina Nika
This figure shows the co-authorship network connecting the top 25 collaborators of Konstantina Nika. A scholar is included among the top collaborators of Konstantina Nika 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 Konstantina Nika. Konstantina Nika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 66 | |
| 6 | 13 | |
| 7 | 280 | |
| 8 | 21 | |
| 9 | 29 | |
| 10 | 22 | |
| 11 | Multi-walled carbon nanotubes induce T lymphocyte apoptosisbreakdown → | 509 |
| 12 | Autoimmune-associated lymphoid tyrosine phosphatase is a gain-of-function variantbreakdown → | 534 |
| 13 | 115 | |
| 14 | 74 | |
| 15 | A functional variant of lymphoid tyrosine phosphatase is associated with type I diabetesbreakdown → | 1029 |
| 16 | 39 | |
| 17 | 39 | |
| 18 | 15 |
About Konstantina Nika
Konstantina Nika is a scholar working on Immunology, Genetics and Physiology, having authored 18 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (8 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Immunology (1.3k citations), Genetics (1.1k citations) and Endocrinology, Diabetes and Metabolism (330 citations). Konstantina Nika has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Tomas Mustelin, Nunzio Bottini, Lucia Musumeci, Souad Rahmouni, Andrés Alonso, Maurizio Pellecchia, George S. Eisenbarth, James P. MacMurray, David E. Comings and Tullio Meloni. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and The EMBO 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.