Noa Lavi
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 34
- Multiple Myeloma Research and Treatments 22
- Acute Myeloid Leukemia Research 10
- Chronic Myeloid Leukemia Treatments 5
- Hematopoietic Stem Cell Transplantation 4
- Genetics 20
- Myeloproliferative Neoplasms: Diagnosis and Treatment 18
- Co-authors
- Irit Mazza Avivi (18 shared papers)Netanel A. Horowitz (14 shared papers)Ilana Oren (8 shared papers)Benjamin Brenner (5 shared papers)Tsila Zuckerman (10 shared papers)Martin H. Ellis (7 shared papers)Noam Benyamini (7 shared papers)Jacob M. Rowe (7 shared papers)
- Journals
- American Journal of Hematology (7 papers)Blood (5 papers)Leukemia Research (5 papers)British Journal of Haematology (3 papers)Annals of Hematology (3 papers)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Noa Lavi
59 papers receiving 990 citations
Peers
Comparison fields: 5 of 82
- Hematology 402
- Genetics 235
- Molecular Medicine 66
- Oncology 259
- Rheumatology 88
Countries citing papers authored by Noa Lavi
This map shows the geographic impact of Noa Lavi'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 Noa Lavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noa Lavi more than expected).
Fields of papers citing papers by Noa Lavi
This network shows the impact of papers produced by Noa Lavi. 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 Noa Lavi. The network helps show where Noa Lavi may publish in the future.
Co-authors
The 25 scholars most cited alongside Noa Lavi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 180 | |
| 2 | 2013 | 79 | |
| 3 | 2019 | 62 | |
| 4 | 2021 | 52 | |
| 5 | 2016 | 45 | |
| 6 | 2015 | 36 | |
| 7 | 2022 | 34 | |
| 8 | 2019 | 32 | |
| 9 | 2021 | 28 | |
| 10 | 2019 | 27 | |
| 11 | 2014 | 24 | |
| 12 | 2015 | 23 | |
| 13 | 2018 | 20 | |
| 14 | 2014 | 19 | |
| 15 | 2023 | 19 | |
| 16 | 2016 | 18 | |
| 17 | 2020 | 18 | |
| 18 | 2013 | 16 | |
| 19 | 2014 | 16 | |
| 20 | 2018 | 16 |
About Noa Lavi
Noa Lavi is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Infectious Diseases, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (22 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers), Acute Myeloid Leukemia Research (10 papers), Protein Degradation and Inhibitors (7 papers), Kruppel-like factors research (6 papers), Peptidase Inhibition and Analysis (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Hematology (402 citations), Genetics (235 citations), Molecular Medicine (66 citations), Oncology (259 citations) and Rheumatology (88 citations). Noa Lavi has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Irit Mazza Avivi, Netanel A. Horowitz, Ilana Oren, Benjamin Brenner, Tsila Zuckerman, Martin H. Ellis, Noam Benyamini, Jacob M. Rowe, Yael Chava Cohen and Yishai Ofran. Their work appears in journals such as American Journal of Hematology, Blood, Leukemia Research, British Journal of Haematology and Annals of Hematology.
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.