Hassan Salari
- Molecular Biology
- Physiology top 5%
- Immunology top 10%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Pierre BorgeatP. BraquetMoira Chan‐YeungHenry ChanAhmed MerzoukDonald WongJean LeRicheStephen C.-T. Lam
- Topics
- Chemokine receptors and signaling (11 papers)Asthma and respiratory diseases (10 papers)Immunotherapy and Immune Responses (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodCancer Research
- Partner nations
- CanadaUnited StatesIran
In The Last Decade
Hassan Salari
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 508
- Physiology 469
- Immunology 411
- Oncology 351
- Pulmonary and Respiratory Medicine 293
Countries citing papers authored by Hassan Salari
This map shows the geographic impact of Hassan Salari'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 Hassan Salari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hassan Salari more than expected).
Fields of papers citing papers by Hassan Salari
This network shows the impact of papers produced by Hassan Salari. 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 Hassan Salari. The network helps show where Hassan Salari may publish in the future.
Co-authorship network of co-authors of Hassan Salari
This figure shows the co-authorship network connecting the top 25 collaborators of Hassan Salari. A scholar is included among the top collaborators of Hassan Salari 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 Hassan Salari. Hassan Salari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Anti-bacterial effects of the essential oil of Teucrium polium L. on human pathogenic bacteria | 6 |
| 2 | Anticancer effect of a combination of CXCR4 antagonist CTCE-9908 and Docetaxel in a murine model of human prostate cancer | 3 |
| 3 | 202 | |
| 4 | A peptide antagonist of chemokine receptor CXCR4 reduces tumor metastasis in a murine orthotopic model of human prostate cancer | 6 |
| 5 | 28 | |
| 6 | 47 | |
| 7 | 24 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 14 | |
| 12 | 34 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 88 | |
| 16 | 32 | |
| 17 | 68 | |
| 18 | 201 | |
| 19 | 0 | |
| 20 | 18 |
About Hassan Salari
Hassan Salari is a scholar working on Immunology and Allergy, Immunology and Hematology, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (11 papers), Asthma and respiratory diseases (10 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Immunology and Allergy (150 citations), Immunology (411 citations) and Hematology (203 citations). Hassan Salari has collaborated with scholars based in Canada, United States and Iran. Frequent co-authors include Pierre Borgeat, P. Braquet, Moira Chan‐Yeung, Henry Chan, Ahmed Merzouk, Donald Wong, Jean LeRiche, Stephen C.-T. Lam, R. Robert Schellenberg and Takeshi Matsuse. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and 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.