Faramarz Naeim
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 18
- Immunology top 10%
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 8
- Immunodeficiency and Autoimmune Disorders 7
- Aging top 10%
- Virology top 5%
- Hematology top 5%
- Acute Myeloid Leukemia Research 8
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- Lymphoma Diagnosis and Treatment 8
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- Monoclonal and Polyclonal Antibodies Research 7
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- Hematological disorders and diagnostics 5
- Co-authors
- Dieter FritzeR. L. WalfordC. HerrmannWayne W. GrodySuzanne FligielLuis M. de la MazaRoy L. WalfordJerry Waisman
- Cited by
- GeneticsImmunologyAging
- Partner nations
- United StatesJapanItaly
In The Last Decade
Faramarz Naeim
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Genetics 241
- Immunology 418
- Aging 33
- Virology 84
- Hematology 156
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
The 25 scholars most cited alongside Faramarz Naeim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 15 | |
| 2 | 1998 | 7 | |
| 3 | 1996 | 5 | |
| 4 | Topobiology in hematopoiesis. | 1995 | 3 |
| 5 | 1993 | 49 | |
| 6 | 1991 | 5 | |
| 7 | 1991 | 6 | |
| 8 | Recent advances in diagnosis and classification of leukemias and lymphomas. | 1990 | 1 |
| 9 | 1989 | 4 | |
| 10 | 1988 | 33 | |
| 11 | Acute megakaryocytic leukemia following chemotherapy for a malignant teratoma. | 1984 | 15 |
| 12 | 1980 | 9 | |
| 13 | 1980 | 20 | |
| 14 | 1979 | 28 | |
| 15 | 1978 | 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. | 1978 | 3 |
| 17 | 1978 | 3 | |
| 18 | 1978 | 52 | |
| 19 | Reactivity of alloantibodies of the Merrit B-cell system with leukemic cells and lymphoblastoid cell lines. | 1977 | 2 |
| 20 | 1974 | 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), Acute Myeloid Leukemia Research (8 papers), Immune Cell Function and Interaction (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers) and Hematological disorders and diagnostics (5 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.