Dalia Bashari
Impact in
- Hematology top 5%
- Hemophilia Treatment and Research
- Platelet Disorders and Treatments
- Blood Coagulation and Thrombosis Mechanisms
- Hemostasis and retained surgical items
- Hepatology top 10%
- Hepatitis C virus research
Papers in
- Hematology 16
- Hemophilia Treatment and Research 15
- Platelet Disorders and Treatments 5
- Blood Coagulation and Thrombosis Mechanisms 4
- Hemostasis and retained surgical items 3
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- Hepatitis C virus research 7
- Co-authors
- Gili Kenet (11 shared papers)Einat Avishai (7 shared papers)Mudi Misgav (6 shared papers)Ivan Budnik (6 shared papers)Tami Livnat (6 shared papers)U. Martinowitz (10 shared papers)Tami Brutman‐Barazani (5 shared papers)Jonathan Schapiro (7 shared papers)
In The Last Decade
Dalia Bashari
19 papers receiving 336 citations
Peers
Comparison fields: 5 of 34
- Hematology 275
- Hepatology 79
- Genetics 80
- Epidemiology 68
- Pharmacy 5
Countries citing papers authored by Dalia Bashari
This map shows the geographic impact of Dalia Bashari'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 Dalia Bashari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalia Bashari more than expected).
Fields of papers citing papers by Dalia Bashari
This network shows the impact of papers produced by Dalia Bashari. 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 Dalia Bashari. The network helps show where Dalia Bashari may publish in the future.
Co-authors
The 25 scholars most cited alongside Dalia Bashari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 60 | |
| 2 | 2021 | 48 | |
| 3 | 2021 | 31 | |
| 4 | 2006 | 25 | |
| 5 | 2011 | 23 | |
| 6 | 2009 | 22 | |
| 7 | 2020 | 21 | |
| 8 | 2014 | 17 | |
| 9 | 2007 | 14 | |
| 10 | 2006 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2014 | 12 | |
| 13 | 2009 | 10 | |
| 14 | 1996 | 9 | |
| 15 | 2008 | 7 | |
| 16 | 2012 | 6 | |
| 17 | 1994 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 1 |
About Dalia Bashari
Dalia Bashari is a scholar working on Hematology, Hepatology, Epidemiology, Genetics and Rheumatology, having authored 19 papers that have together received 343 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (15 papers), Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (5 papers), Platelet Disorders and Treatments (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers) and Hemostasis and retained surgical items (3 papers). The work is most often cited by research in Hematology (275 citations), Hepatology (79 citations), Genetics (80 citations), Epidemiology (68 citations) and Pharmacy (5 citations). Dalia Bashari has collaborated with scholars based in Israel, Russia and France. Frequent co-authors include Gili Kenet, Einat Avishai, Mudi Misgav, Ivan Budnik, Tami Livnat, U. Martinowitz, Tami Brutman‐Barazani, Jonathan Schapiro, Aharon Lubetsky and Jacob Luboshitz. Their work appears in journals such as Haemophilia, Thrombosis and Haemostasis, British Journal of Haematology, Blood and Blood Cells Molecules and Diseases.
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.