Nira Hadar

931 citations
30 papers · 590 indexed · h-index 11

Nira Hadar

27 papers receiving 565 citations

Peers

Nira Hadar
Comparison fields: 5 of 111
  • Statistics, Probability and Uncertainty 67
  • Cardiology and Cardiovascular Medicine 168
  • Pulmonary and Respiratory Medicine 182
  • Anesthesiology and Pain Medicine 23
  • Otorhinolaryngology 16
Replace Patrick Bossuyt with:
Patrick Bossuyt United Kingdom
Deirdre Beecher United Kingdom
Kay Larholt United States
Arjun Gupta United States
Ahmed Altibi United States
Deniz Özel Türkiye
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Citations per field
00.5×4.7×
Patrick Bossuyt · 1×
Citations per year

Countries citing papers authored by Nira Hadar

Since Specialization
Citations

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

Fields of papers citing papers by Nira Hadar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nira Hadar. 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 Nira Hadar. The network helps show where Nira Hadar may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20223
2 20221
3 20203
4 20201
5 20201
6 20161
7 201568
8 201439
9 20149
10
Benefits and Harms of Routine Preoperative Testing: Comparative Effectiveness
201411
11 201322
12
Biomarkers for Assessing and Managing Iron Deficiency Anemia in Late-Stage Chronic Kidney Disease: Future Research Needs: Identification of Future Research Needs From Comparative Effectiveness Review No. 83
20133
13 201247
14
Biomarkers for Assessing and Managing Iron Deficiency Anemia in Late-Stage Chronic Kidney Disease
201215
15
Accuracy of Data Extraction of Non-English Language Trials with Google Translate
201242
16
Proposed Governance and Data Management Policy for the Systematic Review Data Repository
20121
17
Management of Asymptomatic Carotid Stenosis
20126
18
Study Flow Diagram
20129
19 201120
20 200745

About Nira Hadar

Nira Hadar is a scholar working on Genetics, Biotechnology and Statistics, Probability and Uncertainty, having authored 30 papers that have together received 590 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Cancer Research and Treatments (5 papers), Virus-based gene therapy research (4 papers), Meta-analysis and systematic reviews (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Iron Metabolism and Disorders (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (67 citations), Cardiology and Cardiovascular Medicine (168 citations) and Pulmonary and Respiratory Medicine (182 citations). Nira Hadar has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Ethan M. Balk, Joseph Lau, Thomas A Trikalinos, Amy Earley, Issa J Dahabreh, Nirav N. Shah, Denish Moorthy, Christopher G. Parkin, David E. Thaler and Edward Feldmann. Their work appears in journals such as Journal of Clinical Oncology, Annals of Internal Medicine and Journal of Nuclear Medicine.

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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