Noa Lavi

1.3k citations
59 papers · 620 · h-index 16

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Multiple Myeloma Research and Treatments 26
    • Acute Myeloid Leukemia Research 9
    • Chronic Myeloid Leukemia Treatments 5
    • Protein Degradation and Inhibitors 6
    • Kruppel-like factors research 6
    • Amyloidosis: Diagnosis, Treatment, Outcomes 5

Noa Lavi

57 papers receiving 609 citations

Peers

Noa Lavi
Comparison fields: 5 of 73
  • Hematology 235
  • Genetics 145
  • Molecular Medicine 55
  • Oncology 165
  • Applied Microbiology and Biotechnology 9
Replace Gaurav Narula with:
Gaurav Narula India
Mirando Mršić Croatia
Marie Thérèse Rubio France
Ilaria Giardini Italy
S H Advani India
Rabi Hanna United States
Fahad Almohareb Saudi Arabia
Xiaowen Zhai China
Ernesta Audisio Italy
Momoyo Azuma Japan
Noa Lavi relative to Gaurav Narula India Gaurav Narula's profile →
Citations per field
00.5×4.9×
Gaurav Narula · 1×
Citations per year

Countries citing papers authored by Noa Lavi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Noa Lavi Line = papers co-authored together Noa Lavi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201368
2 202144
3 201639
4 201533
5 201930
6 201922
7 201521
8 201421
9 202318
10 201617
11 201417
12 201816
13 201416
14 201816
15 201615
16 201315
17 202014
18 202013
19
At Home Under Development: A Housing Project for the Hunter-gatherers Nayaka of the Nilgiris
201413
20 201913

About Noa Lavi

Noa Lavi is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Epidemiology, having authored 59 papers that have together received 620 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (26 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), Acute Myeloid Leukemia Research (9 papers), Protein Degradation and Inhibitors (6 papers), Kruppel-like factors research (6 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Hematology (235 citations), Genetics (145 citations), Molecular Medicine (55 citations), Oncology (165 citations) and Applied Microbiology and Biotechnology (9 citations). Noa Lavi has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Irit Avivi, Netanel A. Horowitz, Ilana Oren, Benjamin Brenner, Tsila Zuckerman, Martin Ellis, Yaël C. Cohen, Jacob M. Rowe, Moshe E. Gatt and Claire Harrison. Their work appears in journals such as Blood, Leukemia Research, American Journal of Hematology, Annals of Hematology and HemaSphere.

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.

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