Nathalie Gérard

1.7k citations
58 papers · 1.3k indexed · h-index 21
    • Pharmacogenetics and Drug Metabolism 9
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders 17
    • Forensic and Genetic Research 5
  • Hematology top 5%
    • Iron Metabolism and Disorders 11
    • Blood groups and transfusion 5
    • Blood Coagulation and Thrombosis Mechanisms 4
  • Immunology top 10%
    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 7

Nathalie Gérard

55 papers receiving 1.3k citations

Peers

Nathalie Gérard
Comparison fields: 5 of 106
  • Pharmacology 337
  • Transplantation 52
  • Genetics 196
  • Hematology 204
  • Immunology 221
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Leslie W. Chinn United States
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Citations per field
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Citations per year

Countries citing papers authored by Nathalie Gérard

Since Specialization
Citations

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

Fields of papers citing papers by Nathalie Gérard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20224
3 20187
4 201610
5 201617
6 201417
7 20093
8
Thalassemic Mutations in Southern Iran
200617
9 200622
10
β-Globin Gene Cluster Haplotypes in Iranian Patients with β-Thalassemia
20053
11 200496
12 20045
13 200315
14 200360
15 20021
16 200114
17 200120
18 20008
19 199912
20 199524

About Nathalie Gérard

Nathalie Gérard is a scholar working on Hematology, Genetics and Pharmacology, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (17 papers), Iron Metabolism and Disorders (11 papers), Pharmacogenetics and Drug Metabolism (9 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers), Forensic and Genetic Research (5 papers), Blood groups and transfusion (5 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). The work is most often cited by research in Pharmacology (337 citations), Transplantation (52 citations) and Genetics (196 citations). Nathalie Gérard has collaborated with scholars based in France, India and United States. Frequent co-authors include Béatrice Charreau, Rajagopal Krishnamoorthy, G Lucotte, R. V. Krishnamoorthy, C. H. Shashindran, Adithan Chandrasekaran, Audrey Sabbagh, André Langaney, Estella S. Poloni and Pierre Darlu. Their work appears in journals such as European Journal of Clinical Pharmacology, British Journal of Clinical Pharmacology, Biochemical Pharmacology, Transplantation and Hemoglobin.

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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