Reuven Laskov
- Immunology top 5%
- T-cell and B-cell Immunology 16
- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 6
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- Monoclonal and Polyclonal Antibodies Research 31
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 25
- Protein purification and stability 5
- Hematology top 5%
- Multiple Myeloma Research and Treatments 8
- Immunology and Allergy top 10%
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- Chronic Lymphocytic Leukemia Research 6
Reuven Laskov
72 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 102
- Immunology 644
- Radiology, Nuclear Medicine and Imaging 692
- Molecular Biology 1.0k
- Hematology 151
- Immunology and Allergy 67
Countries citing papers authored by Reuven Laskov
This map shows the geographic impact of Reuven Laskov'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 Reuven Laskov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reuven Laskov more than expected).
Fields of papers citing papers by Reuven Laskov
This network shows the impact of papers produced by Reuven Laskov. 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 Reuven Laskov. The network helps show where Reuven Laskov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Reuven Laskov, 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 | 2010 | 7 | |
| 2 | 2008 | 10 | |
| 3 | 2007 | 24 | |
| 4 | 2006 | 15 | |
| 5 | 2005 | 4 | |
| 6 | Differential effects of tumor necrosis factor-alpha and CD40L on NF-kappa B inhibitory proteins I kappa B alpha, beta and epsilon and on the induction of the Jun amino-terminal kinase pathway in Ramos Burkitt lymphoma cells. | 2005 | 5 |
| 7 | 1999 | 8 | |
| 8 | 1999 | 27 | |
| 9 | 1998 | 1 | |
| 10 | 1996 | 7 | |
| 11 | 1996 | 8 | |
| 12 | 1995 | 10 | |
| 13 | 1991 | 32 | |
| 14 | 1990 | 6 | |
| 15 | 1989 | 20 | |
| 16 | 1989 | 9 | |
| 17 | 1988 | 1 | |
| 18 | Differences in the expression of a cell surface antigen among various murine myeloma tumor cells. | 1974 | 1 |
| 19 | 1974 | 5 | |
| 20 | 1974 | 15 |
About Reuven Laskov
Reuven Laskov is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Hematology, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (31 papers), Glycosylation and Glycoproteins Research (25 papers), T-cell and B-cell Immunology (16 papers), Multiple Myeloma Research and Treatments (8 papers), Immunotherapy and Immune Responses (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Immune Cell Function and Interaction (6 papers) and Protein purification and stability (5 papers). The work is most often cited by research in Immunology (644 citations), Radiology, Nuclear Medicine and Imaging (692 citations) and Molecular Biology (1.0k citations). Reuven Laskov has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include Matthew D. Scharff, Deborah L. French, Philip Coffino, Reuben Baumal, Dan Eilat, Richard Asofsky, Bernard N. Fields, Malka Hochberg, Hava Sharir and J. Gross. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.