Shiran Shapira

1.1k total citations
63 papers, 770 citations indexed

About

Shiran Shapira is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shiran Shapira has authored 63 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 20 papers in Molecular Biology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shiran Shapira's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer Research and Treatments (9 papers) and Glycosylation and Glycoproteins Research (8 papers). Shiran Shapira is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer Research and Treatments (9 papers) and Glycosylation and Glycoproteins Research (8 papers). Shiran Shapira collaborates with scholars based in Israel, United States and Greece. Shiran Shapira's co-authors include Nadir Arber, Sarah Kraus, Dina Kazanov, Diana Kazanov, Alex Starr, Assaf Shapira, Itai Benhar, Chen Varol, Eli Brazowski and Perri Rozenberg and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Shiran Shapira

59 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiran Shapira Israel 15 306 211 205 110 84 63 770
Xiaofeng Han China 15 336 1.1× 372 1.8× 251 1.2× 121 1.1× 103 1.2× 38 1.0k
Emanuela Massi Italy 8 342 1.1× 213 1.0× 175 0.9× 90 0.8× 67 0.8× 8 672
Chiao‐Fang Teng Taiwan 21 474 1.5× 165 0.8× 188 0.9× 161 1.5× 76 0.9× 47 1.1k
Mei Tang China 16 335 1.1× 133 0.6× 183 0.9× 80 0.7× 67 0.8× 53 725
Jean‐Pierre Couty France 16 417 1.4× 204 1.0× 248 1.2× 108 1.0× 165 2.0× 29 1.1k
Na Tang China 17 456 1.5× 271 1.3× 510 2.5× 87 0.8× 63 0.8× 52 1.0k
Diana Saleiro United States 16 362 1.2× 306 1.5× 238 1.2× 76 0.7× 52 0.6× 30 813
Xiaopeng Yu China 16 372 1.2× 127 0.6× 210 1.0× 190 1.7× 115 1.4× 40 940
Cheolhee Won South Korea 19 577 1.9× 197 0.9× 238 1.2× 144 1.3× 37 0.4× 33 1.0k
Youn Seok Choi South Korea 19 244 0.8× 317 1.5× 222 1.1× 94 0.9× 71 0.8× 49 907

Countries citing papers authored by Shiran Shapira

Since Specialization
Citations

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

Fields of papers citing papers by Shiran Shapira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiran Shapira

This figure shows the co-authorship network connecting the top 25 collaborators of Shiran Shapira. A scholar is included among the top collaborators of Shiran Shapira 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 Shiran Shapira. Shiran Shapira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Strader, Michael Brad, et al.. (2025). Early and Sensitive Detection of Cisplatin-Induced Kidney Injury Using Novel Biomarkers. Kidney International Reports. 10(4). 1175–1187. 1 indexed citations
2.
Shashar, Moshe, Shiran Shapira, Tamara Chernichovski, et al.. (2023). Renal Tubular CD24 Upregulation Aggravates Folic Acid Induced Acute Kidney Injury: A Possible Role for T Regulatory Cells Inhibition in Mice. Journal of Personalized Medicine. 13(7). 1134–1134.
3.
Baruch, Roni, et al.. (2023). Inhaled Exosomes Genetically Manipulated to Overexpress CD24 (EXO-CD24) as a Compassionate Use in Severe ARDS Patients. Biomedicines. 11(9). 2523–2523. 6 indexed citations
4.
Kazanov, Dina, Michael Peer, Michael Tepper, et al.. (2023). Abstract 3342: The dark age of single organ screening is over: CD24 is a novel universal pan-cancer blood test for early detection of cancer. Cancer Research. 83(7_Supplement). 3342–3342. 1 indexed citations
5.
Biezuner, Tamir, Mark D. Minden, Dennis Dong Hwan Kim, et al.. (2022). An improved molecular inversion probe based targeted sequencing approach for low variant allele frequency. NAR Genomics and Bioinformatics. 4(1). lqab125–lqab125. 3 indexed citations
6.
Shapira, Shiran, Dina Kazanov, Miroslav Levý, et al.. (2020). O-15 The dark age of single organ screening is over: CD24 is a novel universal simple blood test for early detection of cancer. Annals of Oncology. 31. 237–237. 1 indexed citations
7.
Segev, Lior, et al.. (2020). A Dinucleotide Deletion in the CD24 Gene Is a Potential Risk Factor for Colorectal Cancer. The American Surgeon. 86(5). 480–485. 3 indexed citations
8.
Dekel, Roy, et al.. (2019). Pancreatic cancer in bloom syndrome. SHILAP Revista de lepidopterología. 7. 2050313X19855587–2050313X19855587. 1 indexed citations
9.
Avivi‐Arber, Limor, et al.. (2018). Impaired bone healing at tooth extraction sites in CD24-deficient mice: A pilot study. PLoS ONE. 13(2). e0191665–e0191665. 7 indexed citations
10.
Maharshak, Nitsan, et al.. (2015). Mo1767 CD24 Plays a Role in the Pathogenesis of DSS-Induced Experimental Colitis in Mice. Gastroenterology. 148(4). S–706. 1 indexed citations
12.
13.
Kraus, Sarah, et al.. (2014). Recent advances in personalized colorectal cancer research. Cancer Letters. 347(1). 15–21. 48 indexed citations
14.
Boursi, Ben, Tal Sella, Eliezer Liberman, et al.. (2013). The APC p.I1307K polymorphism is a significant risk factor for CRC in average risk Ashkenazi Jews. European Journal of Cancer. 49(17). 3680–3685. 33 indexed citations
15.
Shapira, Shiran, Eyal Gur, Dina Kazanov, et al.. (2012). Increased expression of CD24 in nonmelanoma skin cancer. The International Journal of Biological Markers. 27(4). 331–336. 5 indexed citations
16.
Newman, Hadas, Shiran Shapira, Oriel Spierer, et al.. (2012). Involvement of CD24 in Angiogenesis in a Mouse Model of Oxygen-Induced Retinopathy. Current Eye Research. 37(6). 532–539. 5 indexed citations
17.
Kazanov, Dina, et al.. (2011). Novel approach to abuse the hyperactive K-Ras pathway for adenoviral gene therapy of colorectal cancer. Experimental Cell Research. 318(2). 160–168. 6 indexed citations
18.
Shapira, Shiran, et al.. (2011). The CD24 Protein Inducible Expression System Is an Ideal Tool to Explore the Potential of CD24 as an Oncogene and a Target for Immunotherapy in Vitro and in Vivo. Journal of Biological Chemistry. 286(47). 40548–40555. 16 indexed citations
19.
Shapira, Shiran, et al.. (2010). Targeted immunotherapy for colorectal cancer: monoclonal antibodies and immunotoxins. Expert Opinion on Investigational Drugs. 19(sup1). S67–S77. 14 indexed citations
20.
Sagiv, Eyal, Michal Sheffer, Diana Kazanov, et al.. (2009). S1971 Celecoxib Selectively Targets Genes and Pathways Involved in Inflammation and Malignant Transformation in Tumor But Not Normal Cells. Gastroenterology. 136(5). A–304. 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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