Dalia Goldenberg

2.7k citations
21 papers · 2.2k · h-index 17

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Histone Deacetylase Inhibitors Research 3
    • Genomics and Chromatin Dynamics 2
    • RNA and protein synthesis mechanisms 2
    • T-cell and B-cell Immunology 2

Dalia Goldenberg

21 papers receiving 2.2k citations

Peers

Dalia Goldenberg
Comparison fields: 5 of 102
  • Hematology 396
  • Immunology 600
  • Pharmacology 435
  • Toxicology 62
  • Molecular Biology 1.2k
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Dalia Goldenberg relative to Atsunori Saraya Japan Atsunori Saraya's profile →
Citations per field
00.5×10.3×
Atsunori Saraya · 1×
Citations per year

Countries citing papers authored by Dalia Goldenberg

Since Specialization
Citations

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

Fields of papers citing papers by Dalia Goldenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999465
2 1998409
3 2003314
4 2004237
5 2001160
6 2000117
7 2013103
8 199685
9 201566
10 200757
11 200648
12 198330
13 199827
14 200327
15 200723
16 198221
17 202017
18 198012
19 20106
20 19812

About Dalia Goldenberg

Dalia Goldenberg is a scholar working on Molecular Biology, Immunology, Cancer Research, Cellular and Molecular Neuroscience and Oncology, having authored 21 papers that have together received 2.2k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Acute Myeloid Leukemia Research (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cell Adhesion Molecules Research (2 papers), Neuropeptides and Animal Physiology (2 papers), Genomics and Chromatin Dynamics (2 papers), T-cell and B-cell Immunology (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Hematology (396 citations), Immunology (600 citations), Pharmacology (435 citations), Toxicology (62 citations) and Molecular Biology (1.2k citations). Dalia Goldenberg has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Yoram Groner, Ditsa Levanon, Yael Bernstein, Varda Negreanu, Joseph Lotem, Ori Brenner, Eilon Woolf, Ofer Fainaru, Robert E. Goldstein and Hua Tang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood Cells Molecules and Diseases, American Journal of Physiology-Gastrointestinal and Liver Physiology, Gene and European Journal of Biochemistry.

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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