Hélène Béhal

756 citations
35 papers · 408 · h-index 13

Impact in

Papers in

Hélène Béhal

32 papers receiving 403 citations

Peers

Hélène Béhal
Comparison fields: 5 of 70
  • Pathology and Forensic Medicine 79
  • Pulmonary and Respiratory Medicine 93
  • Hematology 30
  • Reproductive Medicine 22
  • Rheumatology 32
Replace S Aggestrup with:
S Aggestrup Denmark
Véronique Dinand India
Yahya İslamoğlu Türkiye
Suat Aytaç Türkiye
Masanori Hashimoto Japan
Olga Baraldi Italy
Rafael Mendonça da Silva Chakr Brazil
Valeria Nucera Italy
M. E. Lloyd United States
Şeyhmus Kerem Özel Türkiye
Hélène Béhal relative to S Aggestrup Denmark S Aggestrup's profile →
Citations per field
00.5×10×16.7×
S Aggestrup · 1×
Citations per year

Countries citing papers authored by Hélène Béhal

Since Specialization
Citations

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

Fields of papers citing papers by Hélène Béhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201768
2 201540
3 201730
4 201725
5 202123
6 201821
7 201920
8 202117
9 202115
10 202014
11 202214
12 201514
13 202114
14 202211
15 202411
16 201711
17 20169
18 20199
19 20208
20 20227

About Hélène Béhal

Hélène Béhal is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Surgery, Rheumatology and Molecular Biology, having authored 35 papers that have together received 408 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (5 papers), Esophageal Cancer Research and Treatment (3 papers), Vitamin C and Antioxidants Research (2 papers), Forensic and Genetic Research (2 papers), Reproductive Biology and Fertility (2 papers), Neonatal Respiratory Health Research (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (79 citations), Pulmonary and Respiratory Medicine (93 citations), Hematology (30 citations), Reproductive Medicine (22 citations) and Rheumatology (32 citations). Hélène Béhal has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Alain Duhamel, Vincent Sobanski, É. Hachulla, David Launay, Martine Rémy-Jardin, N. Le Gouellec, S. Morell‐Dubois, M. Lambert, Anne-Lise Hachulla and T. Pérez. Their work appears in journals such as PLoS ONE, Annals of Oncology, Annals of Surgical Oncology, The Journal of Rheumatology and BMJ Open.

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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