Nael Da’as

23 papers receiving 522 citations

Peers

Nael Da’as
Comparison fields: 5 of 69
  • Internal Medicine 58
  • Nephrology 89
  • Genetics 115
  • Pathology and Forensic Medicine 147
  • Hematology 84
Replace H P Krohn with:
H P Krohn Germany
Thilo Krueger Germany
Masahide Yamazaki Japan
Cecily Forsyth Australia
Todd M. Kolb United States
C. Le Hello France
Biagio Barbano Italy
Αnthi Travlou Greece
Kan Saito Japan
Ellen C. Leonard United States
Nael Da’as relative to H P Krohn Germany H P Krohn's profile →
Citations per field
00.5×6.3×
H P Krohn · 1×
Citations per year

Countries citing papers authored by Nael Da’as

Since Specialization
Citations

This map shows the geographic impact of Nael Da’as'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 Nael Da’as with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nael Da’as more than expected).

Fields of papers citing papers by Nael Da’as

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nael Da’as. 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 Nael Da’as. The network helps show where Nael Da’as may publish in the future.

Co-authors

The 25 scholars most cited alongside Nael Da’as, 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 Nael Da’as Line = papers co-authored together Nael Da’as links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001175
2 200274
3 201641
4 200241
5 201833
6 201732
7 200627
8 200225
9 200214
10 201811
11 20129
12 20029
13 20077
14 20167
15 20196
16
Recombinant factor VIIa for rapid reversal of anticoagulant effect in patients with intracranial hemorrhage: the Israeli experience and review of the literature.
20065
17 20204
18 20194
19 20034
20 20022

About Nael Da’as

Nael Da’as is a scholar working on Pathology and Forensic Medicine, Genetics, Hematology, Neurology and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 535 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Viral-associated cancers and disorders (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Vascular Procedures and Complications (1 paper) and Neurosurgical Procedures and Complications (1 paper). The work is most often cited by research in Internal Medicine (58 citations), Nephrology (89 citations), Genetics (115 citations), Pathology and Forensic Medicine (147 citations) and Hematology (84 citations). Nael Da’as has collaborated with scholars based in Israel, United States and Bangladesh. Frequent co-authors include Aaron Polliack, Yosef Kleinman, Yossi Cohen, Gail Amir, David Darmon, Ada Goldfarb, Dina Ben‐Yehuda, Amihai Rottenstreich, Yosef Kalish and Galia Spectre. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, Journal of Thrombosis and Thrombolysis, European Journal Of Haematology, Thrombosis Research and Blood.

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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