Faramarz Naeim
- Immunology top 10%
- Molecular Biology
- Genetics top 5%
- Surgery
- Oncology top 10%
- Co-authors
- Dieter FritzeR. L. WalfordC. HerrmannWayne W. GrodySuzanne FligielLuis M. de la MazaRoy L. WalfordJerry Waisman
- Topics
- Chronic Lymphocytic Leukemia Research (18 papers)T-cell and B-cell Immunology (9 papers)Acute Myeloid Leukemia Research (8 papers)
- Cited by
- GeneticsImmunologyAging
- Journals
- The LancetCirculationBlood
- Partner nations
- United StatesJapanItaly
In The Last Decade
Faramarz Naeim
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Immunology 418
- Molecular Biology 255
- Genetics 241
- Surgery 238
- Oncology 236
Countries citing papers authored by Faramarz Naeim
This map shows the geographic impact of Faramarz Naeim'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 Faramarz Naeim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faramarz Naeim more than expected).
Fields of papers citing papers by Faramarz Naeim
This network shows the impact of papers produced by Faramarz Naeim. 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 Faramarz Naeim. The network helps show where Faramarz Naeim may publish in the future.
Co-authorship network of co-authors of Faramarz Naeim
This figure shows the co-authorship network connecting the top 25 collaborators of Faramarz Naeim. A scholar is included among the top collaborators of Faramarz Naeim 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 Faramarz Naeim. Faramarz Naeim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | Topobiology in hematopoiesis. | 3 |
| 5 | 49 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | Recent advances in diagnosis and classification of leukemias and lymphomas. | 1 |
| 9 | 4 | |
| 10 | 33 | |
| 11 | Acute megakaryocytic leukemia following chemotherapy for a malignant teratoma. | 15 |
| 12 | 9 | |
| 13 | 20 | |
| 14 | 28 | |
| 15 | 12 | |
| 16 | Ia-like segregant series probably distinct from HLA-DRw: a study of lymphoblastoid cell lines and leukemic cells with evidence for a class of cytotoxic antibodies requiring the presence of monocytes. | 3 |
| 17 | 3 | |
| 18 | 52 | |
| 19 | Reactivity of alloantibodies of the Merrit B-cell system with leukemic cells and lymphoblastoid cell lines. | 2 |
| 20 | 102 |
About Faramarz Naeim
Faramarz Naeim is a scholar working on Genetics, Immunology and Hematology, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (18 papers), T-cell and B-cell Immunology (9 papers) and Acute Myeloid Leukemia Research (8 papers). The work is most often cited by research in Genetics (241 citations), Immunology (418 citations) and Aging (33 citations). Faramarz Naeim has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Dieter Fritze, R. L. Walford, C. Herrmann, Wayne W. Grody, Suzanne Fligiel, R. L. Walford, Luis M. de la Maza, Roy L. Walford, Jerry Waisman and Stanley L. Robbins. Their work appears in journals such as The Lancet, Circulation 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.