Daniel Bendayan

598 citations
9 papers · 459 · h-index 6

Impact in

  • Neurology top 10%
    • Neuroblastoma Research and Treatments
  • Epidemiology top 10%
    • Neuroendocrine Tumor Research Advances

Papers in

Daniel Bendayan

9 papers receiving 422 citations

Peers

Daniel Bendayan
Comparison fields: 5 of 39
  • Neurology 145
  • Epidemiology 271
  • Oncology 169
  • Pulmonary and Respiratory Medicine 127
  • Endocrine and Autonomic Systems 14
Replace J P Marmuse with:
J P Marmuse France
Nelly Dequatre France
Daniel J. Hanson United States
Yong Pil Cho South Korea
Mila Valsecchi Italy
Dimitrie Grama Sweden
F Benedetti-Valentini Italy
Darko Quispe‐Orozco United States
Ceyda Mahlec Anar Türkiye
Adelina Yafasova Denmark
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Citations per field
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J P Marmuse · 1×
Citations per year

Countries citing papers authored by Daniel Bendayan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bendayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Daniel Bendayan, 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 Daniel Bendayan Line = papers co-authored together Daniel Bendayan links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2001321
2 200540
3
Assessment of functional capacity in patients with chronic obstructive pulmonary disease: correlation between cardiopulmonary exercise, 6 minute walk and 15 step exercise oximetry test.
200632
4 200323
5 200621
6 200616
7
Tuberculosis Treatment Outcomes of Patients with Diabetes Mellitus.
20223
8
Is it possible to improve the autopsy rate?
19952
9 20021

About Daniel Bendayan

Daniel Bendayan is a scholar working on Pulmonary and Respiratory Medicine, Health Information Management, Anesthesiology and Pain Medicine, Physiology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 459 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (1 paper), Healthcare cost, quality, practices (1 paper), Autopsy Techniques and Outcomes (1 paper), Cardiovascular Function and Risk Factors (1 paper), Cardiovascular Syncope and Autonomic Disorders (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Medical Coding and Health Information (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Neurology (145 citations), Epidemiology (271 citations), Oncology (169 citations), Pulmonary and Respiratory Medicine (127 citations) and Endocrine and Autonomic Systems (14 citations). Daniel Bendayan has collaborated with scholars based in Israel and Germany. Frequent co-authors include Milton Saute, Mendel Glazer, Alon Yellin, David Shitrit, Mordechai Reuven Kramer, Nir Peled, Ariella Bar-Gil Shitrit, Daniel Starobin, Mordechai R. Kramer and Jaqueline Sulkes. Their work appears in journals such as Respiration, CHEST Journal, International journal of cardiac imaging, Thrombosis and Haemostasis and European Journal of Cardio-Thoracic Surgery.

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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