NZ Parsa
- Pathology and Forensic Medicine top 2%
- Oncology top 5%
- Molecular Biology
- Genetics top 2%
- Cancer Research top 10%
- Co-authors
- RS ChagantiKenneth OffitDC LouieD FilippaGianluca GaïdanoS.C. JhanwarRiccardo Dalla‐FaveraOlli Kallioniemi
- Topics
- Lymphoma Diagnosis and Treatment (12 papers)Chronic Lymphocytic Leukemia Research (5 papers)Acute Myeloid Leukemia Research (2 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
NZ Parsa
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Pathology and Forensic Medicine 623
- Oncology 514
- Molecular Biology 430
- Genetics 408
- Cancer Research 247
Countries citing papers authored by NZ Parsa
This map shows the geographic impact of NZ Parsa'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 NZ Parsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites NZ Parsa more than expected).
Fields of papers citing papers by NZ Parsa
This network shows the impact of papers produced by NZ Parsa. 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 NZ Parsa. The network helps show where NZ Parsa may publish in the future.
Co-authorship network of co-authors of NZ Parsa
This figure shows the co-authorship network connecting the top 25 collaborators of NZ Parsa. A scholar is included among the top collaborators of NZ Parsa 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 NZ Parsa. NZ Parsa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Environmental factors inducing human cancers. | 140 |
| 3 | 171 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 35 | |
| 7 | 171 | |
| 8 | 31 | |
| 9 | 106 | |
| 10 | 26 | |
| 11 | 54 | |
| 12 | In vitro establishment of AIDS-related lymphoma cell lines: phenotypic characterization, oncogene and tumor suppressor gene lesions, and heterogeneity in Epstein-Barr virus infection. | 47 |
| 13 | 163 | |
| 14 | 160 | |
| 15 | 95 | |
| 16 | 17 | |
| 17 | High molecular weight DNA from fixed cytogenetic preparations. | 16 |
| 18 | Induction of terminal differentiation and nuclear appendage(s) formation in a human myeloid leukaemia cell line (HL-60). | 4 |
| 19 | 57 |
About NZ Parsa
NZ Parsa is a scholar working on Pathology and Forensic Medicine, Genetics and Cancer Research, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Genetics (408 citations), Pathology and Forensic Medicine (623 citations) and Oncology (514 citations). NZ Parsa has collaborated with scholars based in United States, France and Italy. Frequent co-authors include RS Chaganti, Kenneth Offit, DC Louie, D Filippa, Gianluca Gaïdano, S.C. Jhanwar, Riccardo Dalla‐Favera, Olli Kallioniemi, Stephen P. Ethier and Anne Kallioniemi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
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.