Dalia Bashari

478 citations
18 papers · 376 · h-index 12

Impact in

  • Hematology top 5%
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
  • Hepatology top 10%
    • Hepatitis C virus research
    • Liver Disease and Transplantation

Papers in

    • Hemophilia Treatment and Research 11
    • Platelet Disorders and Treatments 1
    • Hepatitis C virus research 4

Dalia Bashari

18 papers receiving 368 citations

Peers

Dalia Bashari
Comparison fields: 5 of 19
  • Hematology 286
  • Hepatology 58
  • Biochemistry 8
  • Epidemiology 30
  • Genetics 7
Replace F. Panicucci with:
F. Panicucci Italy
Marı́a L. Marty Spain
PM Blatt United States
Marie-Anne Bertrand France
W. d’A. Maycock United Kingdom
Diego Tempesta Italy
Lowell A. Erf
Francesca Stufano Italy
Takashi Nakai Japan
Jedidiah J. Perdue United States
Dalia Bashari relative to F. Panicucci Italy F. Panicucci's profile →
Citations per field
00.5×20×40×57×
F. Panicucci · 1×
Citations per year

Countries citing papers authored by Dalia Bashari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dalia Bashari Line = papers co-authored together Dalia Bashari links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202070
2 202154
3 202135
4 200925
5 201125
6 202024
7 200623
8 201418
9 200617
10 201916
11 200714
12 201412
13 200911
14 19969
15 20087
16 20126
17 19945
18 20215

About Dalia Bashari

Dalia Bashari is a scholar working on Hematology, Hepatology, Epidemiology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 18 papers that have together received 376 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (11 papers), Hepatitis C virus research (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Hematology (286 citations), Hepatology (58 citations), Biochemistry (8 citations), Epidemiology (30 citations) and Genetics (7 citations). Dalia Bashari has collaborated with scholars based in Israel, Russia and France. Frequent co-authors include Gili Kenet, Einat Avishai, Ivan Budnik, Tami Livnat, Mudi Misgav, U. Martinowitz, Tami Brutman‐Barazani, Aaron Lubetsky, Aharon Lubetsky and Jonathan Schapiro. Their work appears in journals such as Haemophilia, Thrombosis and Haemostasis, British Journal of Haematology, Blood Cells Molecules and Diseases and Annals of Hepatology.

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.

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