Orlev Levy‐Nissenbaum

438 citations
10 papers · 384 · h-index 9

Impact in

Papers in

    • Protein Tyrosine Phosphatases 5
    • Protein Kinase Regulation and GTPase Signaling 3
    • Bone Metabolism and Diseases 2
    • Epigenetics and DNA Methylation 1
    • Ubiquitin and proteasome pathways 1
    • Acute Myeloid Leukemia Research 2

Orlev Levy‐Nissenbaum

9 papers receiving 376 citations

Peers

Orlev Levy‐Nissenbaum
Comparison fields: 5 of 68
  • Biological Psychiatry 11
  • Oncology 106
  • Cancer Research 54
  • Immunology 74
  • Molecular Biology 210
Replace Vibeke Sundvold with:
Vibeke Sundvold Norway
Catherine O’Conor United States
Michelle Bowie United States
Marcia L. Padilla United States
Leona Rohrbeck Australia
Yohei Saito Japan
Lin Shan China
Jinlan Gao China
Brett Burkholder United States
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Citations per field
00.5×1.5×2.1×
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Citations per year

Countries citing papers authored by Orlev Levy‐Nissenbaum

Since Specialization
Citations

This map shows the geographic impact of Orlev Levy‐Nissenbaum'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 Orlev Levy‐Nissenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Orlev Levy‐Nissenbaum more than expected).

Fields of papers citing papers by Orlev Levy‐Nissenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Orlev Levy‐Nissenbaum. 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 Orlev Levy‐Nissenbaum. The network helps show where Orlev Levy‐Nissenbaum may publish in the future.

Co-authors

The 21 scholars most cited alongside Orlev Levy‐Nissenbaum, 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 Orlev Levy‐Nissenbaum Line = papers co-authored together Orlev Levy‐Nissenbaum links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006126
2 200592
3 200833
4 200330
5 200430
6 200327
7 200320
8 200413
9 200312
10 20051

About Orlev Levy‐Nissenbaum

Orlev Levy‐Nissenbaum is a scholar working on Molecular Biology, Hematology, Endocrinology, Diabetes and Metabolism, Pharmacology and Oncology, having authored 10 papers that have together received 384 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Acute Myeloid Leukemia Research (2 papers), Bone Metabolism and Diseases (2 papers), Alkaline Phosphatase Research Studies (2 papers), Alzheimer's disease research and treatments (1 paper), Epigenetics and DNA Methylation (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Biological Psychiatry (11 citations), Oncology (106 citations), Cancer Research (54 citations), Immunology (74 citations) and Molecular Biology (210 citations). Orlev Levy‐Nissenbaum has collaborated with scholars based in Israel and United States. Frequent co-authors include Isaac P. Witz, Orit Sagi‐Assif, Eliora Z. Ron, Izhack Cherny, Uri Gophna, Ehud Gazit, Abraham Avigdor, Pia Raanani, Isaac Ben‐Bassat and Lilach Goldberg-Bittman. Their work appears in journals such as Immunology Letters, Cancer Letters, Cytokine, International Journal of Cancer and Genes Chromosomes and Cancer.

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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