Nadia V. Giannakopoulos
- Immunology top 2%
- Molecular Biology
- Oncology top 10%
- Infectious Diseases top 5%
- Epidemiology top 10%
- Co-authors
- Herbert W. VirginDeborah J. LenschowDong‐Er ZhangAdolfo Garcı́a-SastreNatalia Frias‐StaheliKeun Il KimThorsten WolffBeth Levine
- Topics
- interferon and immune responses (6 papers)Endometrial and Cervical Cancer Treatments (4 papers)Cytokine Signaling Pathways and Interactions (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsMolecular and Cellular Biology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Nadia V. Giannakopoulos
15 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 82
- Immunology 1.0k
- Molecular Biology 521
- Oncology 350
- Infectious Diseases 323
- Epidemiology 264
Countries citing papers authored by Nadia V. Giannakopoulos
This map shows the geographic impact of Nadia V. Giannakopoulos'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 Nadia V. Giannakopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia V. Giannakopoulos more than expected).
Fields of papers citing papers by Nadia V. Giannakopoulos
This network shows the impact of papers produced by Nadia V. Giannakopoulos. 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 Nadia V. Giannakopoulos. The network helps show where Nadia V. Giannakopoulos may publish in the future.
Co-authorship network of co-authors of Nadia V. Giannakopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Nadia V. Giannakopoulos. A scholar is included among the top collaborators of Nadia V. Giannakopoulos 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 Nadia V. Giannakopoulos. Nadia V. Giannakopoulos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 21 | |
| 6 | 88 | |
| 7 | 18 | |
| 8 | 73 | |
| 9 | 436 | |
| 10 | 299 | |
| 11 | 185 | |
| 12 | 232 | |
| 13 | 188 | |
| 14 | In multiple myeloma, circulating hyperdiploid B cells have clonotypic immunoglobulin heavy chain rearrangements and may mediate spread of disease. | 32 |
| 15 | 14 |
About Nadia V. Giannakopoulos
Nadia V. Giannakopoulos is a scholar working on Obstetrics and Gynecology, Immunology and Immunology and Allergy, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Endometrial and Cervical Cancer Treatments (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Immunology (1.0k citations), Infectious Diseases (323 citations) and Animal Science and Zoology (134 citations). Nadia V. Giannakopoulos has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Herbert W. Virgin, Deborah J. Lenschow, Dong‐Er Zhang, Adolfo Garcı́a-Sastre, Natalia Frias‐Staheli, Keun Il Kim, Thorsten Wolff, Beth Levine, Christine Johnston and Robert E. Schmidt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular and Cellular 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.