Katya Ravid
Impact in
- Physiology top 0.05%
- Adenosine and Purinergic Signaling
- Hematology top 0.5%
- Platelet Disorders and Treatments
- Acute Myeloid Leukemia Research
Papers in
-
- Microbial metabolism and enzyme function 10
- Kruppel-like factors research 9
- Receptor Mechanisms and Signaling 9
- Hematology 56
- Platelet Disorders and Treatments 42
- Chronic Myeloid Leukemia Treatments 10
- Co-authors
- Dan Yang (17 shared papers)Milka Koupenova (14 shared papers)Jeffrey Zimmet (8 shared papers)Hillary Johnston‐Cox (10 shared papers)Matthew R. Jones (9 shared papers)Shannon H. Carroll (9 shared papers)Hao G. Nguyen (12 shared papers)Jun Lü (7 shared papers)
- Journals
- Blood (26 papers)Journal of Biological Chemistry (12 papers)Journal of Cellular Physiology (10 papers)Journal of Cellular Biochemistry (8 papers)Experimental Hematology (5 papers)
- Partner nations
- United StatesGreeceItaly
In The Last Decade
Katya Ravid
172 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 124
- Physiology 1.7k
- Hematology 1.5k
- Genetics 741
- Cell Biology 1.0k
- Immunology 864
Countries citing papers authored by Katya Ravid
This map shows the geographic impact of Katya Ravid'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 Katya Ravid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katya Ravid more than expected).
Fields of papers citing papers by Katya Ravid
This network shows the impact of papers produced by Katya Ravid. 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 Katya Ravid. The network helps show where Katya Ravid may publish in the future.
Co-authors
The 25 scholars most cited alongside Katya Ravid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 285 | |
| 2 | 2014 | 202 | |
| 3 | 2001 | 196 | |
| 4 | 2008 | 173 | |
| 5 | 2000 | 148 | |
| 6 | 2012 | 137 | |
| 7 | 2004 | 126 | |
| 8 | 2005 | 126 | |
| 9 | 2019 | 124 | |
| 10 | 2013 | 117 | |
| 11 | 1991 | 112 | |
| 12 | 1995 | 104 | |
| 13 | 2012 | 103 | |
| 14 | 2011 | 102 | |
| 15 | 2008 | 102 | |
| 16 | 1997 | 101 | |
| 17 | 1996 | 97 | |
| 18 | 2008 | 95 | |
| 19 | 2013 | 86 | |
| 20 | 1991 | 85 |
About Katya Ravid
Katya Ravid is a scholar working on Molecular Biology, Hematology, Physiology, Genetics and Immunology, having authored 174 papers that have together received 6.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (47 papers), Platelet Disorders and Treatments (42 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (22 papers), Eosinophilic Disorders and Syndromes (14 papers), Microbial metabolism and enzyme function (10 papers), Chronic Myeloid Leukemia Treatments (10 papers), Kruppel-like factors research (9 papers) and Receptor Mechanisms and Signaling (9 papers). The work is most often cited by research in Physiology (1.7k citations), Hematology (1.5k citations), Genetics (741 citations), Cell Biology (1.0k citations) and Immunology (864 citations). Katya Ravid has collaborated with scholars based in United States, Greece and Italy. Frequent co-authors include Dan Yang, Milka Koupenova, Jeffrey Zimmet, Hillary Johnston‐Cox, Matthew R. Jones, Shannon H. Carroll, Hao G. Nguyen, Jun Lü, Shinobu Matsuura and Zhihui Zhao. Their work appears in journals such as Blood, Journal of Biological Chemistry, Journal of Cellular Physiology, Journal of Cellular Biochemistry and Experimental Hematology.
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.