Camille Faës

896 citations
29 papers · 608 · h-index 15

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • High Altitude and Hypoxia
  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 19
    • High Altitude and Hypoxia 3
    • Iron Metabolism and Disorders 12
    • Blood groups and transfusion 2
    • Blood Coagulation and Thrombosis Mechanisms 2

Camille Faës

29 papers receiving 602 citations

Peers

Camille Faës
Comparison fields: 5 of 77
  • Genetics 294
  • Hematology 205
  • Endocrine and Autonomic Systems 41
  • Physiology 139
  • Rehabilitation 28
Replace Xavier Waltz with:
Xavier Waltz France
Víctor M. Alfaro‐Magallanes Spain
S. Matécki France
Nicole Prommer Germany
Hitoshi Kurabayashi Japan
Jeremy G. Jones United Kingdom
Hang Zhang China
Margareta Hellgren Sweden
F Valente Italy
G Ugolotti Italy
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Citations per field
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Citations per year

Countries citing papers authored by Camille Faës

Since Specialization
Citations

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

Fields of papers citing papers by Camille Faës

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013110
2 201955
3 201848
4 201337
5 201833
6 201532
7 201730
8 201229
9 201529
10 201526
11 201426
12 201722
13 201820
14 202016
15 201714
16 201514
17 201711
18 20209
19 20198
20 20198

About Camille Faës

Camille Faës is a scholar working on Genetics, Hematology, Physiology, Pulmonary and Respiratory Medicine and Genetics, having authored 29 papers that have together received 608 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (19 papers), Iron Metabolism and Disorders (12 papers), Erythrocyte Function and Pathophysiology (6 papers), High Altitude and Hypoxia (3 papers), Blood properties and coagulation (2 papers), Blood groups and transfusion (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Genetics (294 citations), Hematology (205 citations), Endocrine and Autonomic Systems (41 citations), Physiology (139 citations) and Rehabilitation (28 citations). Camille Faës has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Vincent Pialoux, Cyril Martin, Grégoire P. Millet, Philippe Connes, Raphaël Faiss, Cláudio Sartori, O. Dériaz, Erica Sparkenbaugh, Rafał Pawliński and Emmanuelle Charrin. Their work appears in journals such as Frontiers in Physiology, Oxidative Medicine and Cellular Longevity, Blood, Redox Biology and Antioxidants.

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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