Danit Lebanony

3.3k total citations · 1 hit paper
13 papers, 1.8k citations indexed

About

Danit Lebanony is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Danit Lebanony has authored 13 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Danit Lebanony's work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (4 papers) and Cancer-related molecular mechanisms research (4 papers). Danit Lebanony is often cited by papers focused on MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (4 papers) and Cancer-related molecular mechanisms research (4 papers). Danit Lebanony collaborates with scholars based in Israel, Sri Lanka and Greece. Danit Lebanony's co-authors include Hila Benjamin, Ayelet Chajut, Shlomit Gilad, Eti Meiri, Yaron Goren, Zvi Bentwich, Sima Benjamin, Yariv Yogev, Michal Kushnir and Noga Yerushalmi and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Danit Lebanony

13 papers receiving 1.8k citations

Hit Papers

Serum MicroRNAs Are Promi... 2008 2026 2014 2020 2008 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Serum MicroRNAs Are Promising Novel Biomarkers
    2008 1.1k citations Shlomit Gilad, Eti Meiri et al. PLoS ONE profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danit Lebanony Israel 7 1.4k 1.3k 166 119 103 13 1.8k
Rachel L. Dittmar United States 12 1.1k 0.8× 1.3k 0.9× 164 1.0× 116 1.0× 73 0.7× 13 1.5k
Michal Kushnir Israel 8 1.3k 1.0× 1.3k 1.0× 62 0.4× 68 0.6× 82 0.8× 11 1.7k
Ludmila Weiz Germany 5 1.7k 1.2× 1.7k 1.3× 67 0.4× 98 0.8× 94 0.9× 5 2.1k
Xisheng Yang China 17 2.1k 1.5× 2.3k 1.7× 111 0.7× 151 1.3× 101 1.0× 29 2.5k
Noura Ismail United States 3 1.2k 0.8× 1.4k 1.0× 77 0.5× 52 0.4× 63 0.6× 3 1.6k
Sharad Kholia Italy 17 682 0.5× 1.3k 0.9× 89 0.5× 93 0.8× 155 1.5× 25 1.5k
Anne Langheinz Germany 2 1.3k 0.9× 1.3k 1.0× 49 0.3× 47 0.4× 72 0.7× 2 1.6k
Rafał Szatanek Poland 17 888 0.6× 1.5k 1.1× 86 0.5× 156 1.3× 76 0.7× 41 1.8k
Jeffrey Schafer United States 6 928 0.7× 1.0k 0.8× 43 0.3× 51 0.4× 59 0.6× 9 1.3k
Wei Yin China 18 607 0.4× 941 0.7× 293 1.8× 281 2.4× 88 0.9× 50 1.5k

Countries citing papers authored by Danit Lebanony

Since Specialization
Citations

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

Fields of papers citing papers by Danit Lebanony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danit Lebanony

This figure shows the co-authorship network connecting the top 25 collaborators of Danit Lebanony. A scholar is included among the top collaborators of Danit Lebanony based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danit Lebanony. Danit Lebanony is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Meiri, Eti, Nir Dromi, Sharon Kredo‐Russo, et al.. (2020). Differential expression of microRNA in serum fractions and association of Argonaute 1 microRNAs with heart failure. Journal of Cellular and Molecular Medicine. 24(12). 6586–6595. 5 indexed citations
2.
Feinmesser, Meora, Carlos Benbassat, Eti Meiri, et al.. (2014). Specific MicroRNAs Differentiate Adrenocortical Adenomas from Carcinomas and Correlate With Weiss Histopathologic System. Applied immunohistochemistry & molecular morphology. 23(7). 522–531. 27 indexed citations
3.
Goren, Yaron, Eti Meiri, Christopher J. Hogan, et al.. (2013). Relation of Reduced Expression of MiR-150 in Platelets to Atrial Fibrillation in Patients With Chronic Systolic Heart Failure. The American Journal of Cardiology. 113(6). 976–981. 88 indexed citations
4.
Sanden, Mats, George Pentheroudakis, Anna Goussia, et al.. (2013). Abstract 816: A novel microRNA-based test demonstrates 92% accuracy in the classification of metastatic tumors from patients diagnosed with carcinoma of unknown primary .. Cancer Research. 73(8_Supplement). 816–816. 1 indexed citations
5.
Varadhachary, Gauri R., Tina Bocker Edmonston, Siddharth Karanth, et al.. (2010). Prospective gene signature study using microRNA to predict the tissue of origin (ToO) in pts with cancer of unknown primary site (CUP).. Journal of Clinical Oncology. 28(15_suppl). 4151–4151. 4 indexed citations
6.
Benjamin, Hila, Danit Lebanony, Shai Rosenwald, et al.. (2010). A Diagnostic Assay Based on MicroRNA Expression Accurately Identifies Malignant Pleural Mesothelioma. Journal of Molecular Diagnostics. 12(6). 771–779. 86 indexed citations
7.
Rosenwald, Shai, Shlomit Gilad, Sima Benjamin, et al.. (2010). Validation of a microRNA-based qRT-PCR test for accurate identification of tumor tissue origin. Modern Pathology. 23(6). 814–823. 101 indexed citations
8.
Lebanony, Danit, Hila Benjamin, Shlomit Gilad, et al.. (2009). Diagnostic Assay Based on hsa-miR-205 Expression Distinguishes Squamous From Nonsquamous Non–Small-Cell Lung Carcinoma. Journal of Clinical Oncology. 27(12). 2030–2037. 326 indexed citations
9.
Benjamin, H., Danit Lebanony, Sarit Tabak, et al.. (2009). MicroRNA-based assay for differential diagnosis of mesothelioma. Journal of Clinical Oncology. 27(15_suppl). e22079–e22079. 1 indexed citations
10.
Barshack, Iris, Eti Meiri, Shai Rosenwald, et al.. (2009). Differential diagnosis of hepatocellular carcinoma from metastatic tumors in the liver using microRNA expression. The International Journal of Biochemistry & Cell Biology. 42(8). 1355–1362. 44 indexed citations
11.
Benjamin, H., Danit Lebanony, Lahav Cohen, et al.. (2008). Differential diagnosis of mesothelioma using a microRNA assay. Journal of Clinical Oncology. 26(15_suppl). 22000–22000. 4 indexed citations
12.
Gilad, Shlomit, Eti Meiri, Yariv Yogev, et al.. (2008). Serum MicroRNAs Are Promising Novel Biomarkers. PLoS ONE. 3(9). e3148–e3148. 1139 indexed citations breakdown →
13.
Lebanony, Danit, H. Benjamin, Shlomit Gilad, et al.. (2008). MicroRNAs as a diagnostic tool for differentiating squamous cell lung cancer from other non small cell lung cancers. Journal of Clinical Oncology. 26(15_suppl). 22018–22018. 1 indexed citations

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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