Avivit Ochaion
- Physiology top 0.2%
- Molecular Biology
- Oncology top 10%
- Immunology
- Organic Chemistry
- Co-authors
- Pnina FishmanSara Bar‐YehudaLea MadiFaina BarerLea Rath‐WolfsonShira CohenS. Bar‐YehudaGil Ohana
- Topics
- Adenosine and Purinergic Signaling (15 papers)Peptidase Inhibition and Analysis (7 papers)NF-κB Signaling Pathways (7 papers)
- Cited by
- PhysiologyNeurologyImmunology
- Partner nations
- IsraelUnited States
In The Last Decade
Avivit Ochaion
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Physiology 866
- Molecular Biology 490
- Oncology 240
- Immunology 187
- Organic Chemistry 137
Countries citing papers authored by Avivit Ochaion
This map shows the geographic impact of Avivit Ochaion'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 Avivit Ochaion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avivit Ochaion more than expected).
Fields of papers citing papers by Avivit Ochaion
This network shows the impact of papers produced by Avivit Ochaion. 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 Avivit Ochaion. The network helps show where Avivit Ochaion may publish in the future.
Co-authorship network of co-authors of Avivit Ochaion
This figure shows the co-authorship network connecting the top 25 collaborators of Avivit Ochaion. A scholar is included among the top collaborators of Avivit Ochaion 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 Avivit Ochaion. Avivit Ochaion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 104 | |
| 3 | 107 | |
| 4 | CF102 an A3 adenosine receptor agonist induces in vivo apoptosis of Hepatocellular carcinoma | 0 |
| 5 | 60 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 77 | |
| 9 | 0 | |
| 10 | 79 | |
| 11 | 51 | |
| 12 | IB-MECA, an A3 adenosine receptor agonist prevents bone resorption in rats with adjuvant induced arthritis. | 53 |
| 13 | Antiinflammatory effect of A3 adenosine receptor agonists in murine autoimmune arthritis models. | 80 |
| 14 | 14 | |
| 15 | 164 | |
| 16 | 85 | |
| 17 | 80 | |
| 18 | Targeting the A3 adenosine receptor for cancer therapy: inhibition of prostate carcinoma cell growth by A3AR agonist. | 82 |
| 19 | 60 |
About Avivit Ochaion
Avivit Ochaion is a scholar working on Physiology, Cancer Research and Oncology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (15 papers), Peptidase Inhibition and Analysis (7 papers) and NF-κB Signaling Pathways (7 papers). The work is most often cited by research in Physiology (866 citations), Neurology (92 citations) and Immunology (187 citations). Avivit Ochaion has collaborated with scholars based in Israel and United States. Frequent co-authors include Pnina Fishman, Sara Bar‐Yehuda, Lea Madi, Faina Barer, Lea Rath‐Wolfson, Shira Cohen, S. Bar‐Yehuda, Gil Ohana, R. Patoka and Ehud Baharav. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology 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.