Nira Varda‐Bloom

1.1k citations
40 papers · 809 · h-index 14

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Angiogenesis and VEGF in Cancer 5
    • RNA Interference and Gene Delivery 3
    • Hematopoietic Stem Cell Transplantation 8
    • Chronic Myeloid Leukemia Treatments 4

Nira Varda‐Bloom

38 papers receiving 793 citations

Peers

Nira Varda‐Bloom
Comparison fields: 5 of 77
  • Genetics 134
  • Hematology 123
  • Cardiology and Cardiovascular Medicine 144
  • Genetics 126
  • Cancer Research 61
Replace Dongfeng Zeng with:
Dongfeng Zeng China
Brandi Bailey United States
Biswajit Chowdhury Canada
Marc R. Reboll Germany
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Gillian I. Bell Canada
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Citations per field
00.5×4.6×
Dongfeng Zeng · 1×
Citations per year

Countries citing papers authored by Nira Varda‐Bloom

Since Specialization
Citations

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

Fields of papers citing papers by Nira Varda‐Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nira Varda‐Bloom. 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 Nira Varda‐Bloom. The network helps show where Nira Varda‐Bloom may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000124
2 1993114
3
Treatment of severe steroid resistant acute GVHD with mesenchymal stromal cells (MSC).
201398
4 200162
5 199448
6 201440
7 200440
8 200539
9 200435
10 201321
11 200616
12 199516
13 200816
14 199515
15 200911
16
Effect of basic fibroblast growth factor on left ventricular geometry in rats subjected to coronary occlusion and reperfusion.
200211
17 201710
18 201810
19 20199
20 20158

About Nira Varda‐Bloom

Nira Varda‐Bloom is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Immunology, having authored 40 papers that have together received 809 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), CAR-T cell therapy research (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Immune Cell Function and Interaction (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Virus-based gene therapy research (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Genetics (134 citations), Hematology (123 citations), Cardiology and Cardiovascular Medicine (144 citations), Genetics (126 citations) and Cancer Research (61 citations). Nira Varda‐Bloom has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Alexander Battler, Michael Eldar, Dan G. Ohad, Dror Harats, Aviv Shaish, Iris Goldberg, Avichai Shimoni, Arnon Nagler, Jonathan Leor and Keren Levanon. Their work appears in journals such as Blood, Oncotarget, Journal of Clinical Investigation, Pathobiology and Cancer Letters.

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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