Rina Dvir

3.6k citations
30 papers · 468 · h-index 12

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Neurofibromatosis and Schwannoma Cases
    • Neuroblastoma Research and Treatments
    • Vascular Malformations Diagnosis and Treatment

Papers in

    • Glioma Diagnosis and Treatment 10
    • Neuroblastoma Research and Treatments 6
    • Neurofibromatosis and Schwannoma Cases 4

Rina Dvir

29 papers receiving 456 citations

Peers

Rina Dvir
Comparison fields: 5 of 64
  • Genetics 134
  • Neurology 181
  • Internal Medicine 39
  • Pathology and Forensic Medicine 107
  • Hematology 47
Replace Amalia Schiavetti with:
Amalia Schiavetti Italy
Kimberly Kicielinski United States
Seong-Rim Kim South Korea
Beate Winkler Germany
Ian C. Duncan South Africa
Alberto Floris Italy
Kenkichi Takahashi Japan
J Natali France
Aşkın Ateş Türkiye
Yoshihiro Tsukamoto Japan
Rina Dvir relative to Amalia Schiavetti Italy Amalia Schiavetti's profile →
Citations per field
00.5×1.5×2.1×
Amalia Schiavetti · 1×
Citations per year

Countries citing papers authored by Rina Dvir

Since Specialization
Citations

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

Fields of papers citing papers by Rina Dvir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rina Dvir. 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 Rina Dvir. The network helps show where Rina Dvir may publish in the future.

Co-authors

The 25 scholars most cited alongside Rina Dvir, 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 Rina Dvir Line = papers co-authored together Rina Dvir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200669
2 201152
3 200447
4 200139
5 201730
6 199527
7 200525
8 201825
9 201523
10 201423
11 201116
12 202012
13 20099
14 20158
15 20218
16 20207
17 20187
18 20167
19 20106
20 20065

About Rina Dvir

Rina Dvir is a scholar working on Genetics, Neurology, Oncology, Hematology and Pathology and Forensic Medicine, having authored 30 papers that have together received 468 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Neuroblastoma Research and Treatments (6 papers), Acute Lymphoblastic Leukemia research (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Acute Myeloid Leukemia Research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Meningioma and schwannoma management (3 papers). The work is most often cited by research in Genetics (134 citations), Neurology (181 citations), Internal Medicine (39 citations), Pathology and Forensic Medicine (107 citations) and Hematology (47 citations). Rina Dvir has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Shlomi Constantini, Liat Ben‐Sira, Michal Yalon, Amos Toren, Liana Beni‐Adani, Uri Tabori, Ben Shofty, Anat Kesler, Michael Weintraub and Shlomo Constantini. Their work appears in journals such as Pediatric Blood & Cancer, Child s Nervous System, Journal of Pediatric Hematology/Oncology, Neuro-Oncology and Pediatric Transplantation.

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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