Nicholas M. Ponzio
- Immunology top 2%
- Molecular Biology top 10%
- Genetics top 1%
- Oncology top 5%
- Cancer Research top 5%
- Co-authors
- Pranela RameshwarG. J. ThorbeckeJulius A. PotianHana AvivJonathan S. HarrisonMili MandalJennifer ChanNicola Pierobon
- Topics
- Immune Cell Function and Interaction (36 papers)T-cell and B-cell Immunology (20 papers)Immunotherapy and Immune Responses (19 papers)
- Partner nations
- United StatesIndiaBelarus
In The Last Decade
Nicholas M. Ponzio
87 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 118
- Immunology 942
- Molecular Biology 786
- Genetics 773
- Oncology 539
- Cancer Research 405
Countries citing papers authored by Nicholas M. Ponzio
This map shows the geographic impact of Nicholas M. Ponzio'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 Nicholas M. Ponzio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas M. Ponzio more than expected).
Fields of papers citing papers by Nicholas M. Ponzio
This network shows the impact of papers produced by Nicholas M. Ponzio. 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 Nicholas M. Ponzio. The network helps show where Nicholas M. Ponzio may publish in the future.
Co-authorship network of co-authors of Nicholas M. Ponzio
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas M. Ponzio. A scholar is included among the top collaborators of Nicholas M. Ponzio 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 Nicholas M. Ponzio. Nicholas M. Ponzio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 82 | |
| 2 | 3 | |
| 3 | 70 | |
| 4 | 314 | |
| 5 | 13 | |
| 6 | 23 | |
| 7 | Herceptin-refractory ovarian carcinoma cells differentially express genes involved in angiogenesis, invasion, and metastasis | 1 |
| 8 | 25 | |
| 9 | Development and characterization of a pre-clinical model of ovarian carcinoma to investigate mechanisms of resistance to the anti-HER2/neu antibody Herceptin™ | 1 |
| 10 | 353 | |
| 11 | 16 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 34 | |
| 18 | Ir gene restricted induction by lymph node t cells of lymphokine synthesis in irradiated lymphoma cells of sjl j mice | 1 |
| 19 | 18 | |
| 20 | 50 |
About Nicholas M. Ponzio
Nicholas M. Ponzio is a scholar working on Immunology, Genetics and Pathology and Forensic Medicine, having authored 90 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (36 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (19 papers). The work is most often cited by research in Genetics (773 citations), Immunology (942 citations) and Biological Psychiatry (95 citations). Nicholas M. Ponzio has collaborated with scholars based in United States, India and Belarus. Frequent co-authors include Pranela Rameshwar, G. J. Thorbecke, Julius A. Potian, Hana Aviv, Jonathan S. Harrison, Mili Mandal, Jennifer Chan, Nicola Pierobon, Anoop P. Patel and Oleta A. Sandiford. Their work appears in journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.
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.