Sima Shina
- Oncology top 5%
- Immunology top 5%
- Molecular Biology
- Cancer Research
- Immunology and Allergy top 10%
- Co-authors
- Iafa KeydarAdit Ben‐BaruchGalia LuboshitsNely WiglerOfer KaplanEran NeumarkSamario ChaitchikDavid Shahbazian
- Topics
- Chemokine receptors and signaling (7 papers)Immunotherapy and Immune Responses (5 papers)Cell Adhesion Molecules Research (4 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaClinical Cancer Research
- Partner nations
- IsraelUnited KingdomCyprus
In The Last Decade
Sima Shina
11 papers receiving 836 citations
Peers
Comparison fields: 5 of 70
- Oncology 612
- Immunology 479
- Molecular Biology 240
- Cancer Research 105
- Immunology and Allergy 75
Countries citing papers authored by Sima Shina
This map shows the geographic impact of Sima Shina'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 Sima Shina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sima Shina more than expected).
Fields of papers citing papers by Sima Shina
This network shows the impact of papers produced by Sima Shina. 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 Sima Shina. The network helps show where Sima Shina may publish in the future.
Co-authorship network of co-authors of Sima Shina
This figure shows the co-authorship network connecting the top 25 collaborators of Sima Shina. A scholar is included among the top collaborators of Sima Shina 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 Sima Shina. Sima Shina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Adherence to HIV treatment regimens: systematic literature review and meta-analysis | 4 |
| 2 | Invasive breast cancer treated with taxol and epirubicin neo-adjuvant chemotherapy: the role in the outcome of the "crosstalk" between Erb receptors and p53. | 3 |
| 3 | 78 | |
| 4 | 127 | |
| 5 | 55 | |
| 6 | 27 | |
| 7 | Breast carcinoma: a report on the potential usage of the CC chemokine RANTES as a marker for a progressive disease. | 16 |
| 8 | The CC chemokine RANTES in breast carcinoma progression: regulation of expression and potential mechanisms of promalignant activity. | 268 |
| 9 | 3 | |
| 10 | Elevated expression of the CC chemokine regulated on activation, normal T cell expressed and secreted (RANTES) in advanced breast carcinoma. | 245 |
| 11 | 23 |
About Sima Shina
Sima Shina is a scholar working on Immunology and Allergy, Oncology and Immunology, having authored 11 papers that have together received 849 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (7 papers), Immunotherapy and Immune Responses (5 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Immunology (479 citations), Oncology (612 citations) and Immunology and Allergy (75 citations). Sima Shina has collaborated with scholars based in Israel, United Kingdom and Cyprus. Frequent co-authors include Iafa Keydar, Adit Ben‐Baruch, Galia Luboshits, Nely Wigler, Ofer Kaplan, Eran Neumark, Samario Chaitchik, David Shahbazian, Miguel Weil and Dvora Nass. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Clinical Cancer Research.
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.