H Rouger

1.4k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

H Rouger is a scholar working on Cellular and Molecular Neuroscience, Neurology and Hematology. According to data from OpenAlex, H Rouger has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Neurology and 2 papers in Hematology. Recurrent topics in H Rouger's work include Hereditary Neurological Disorders (4 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Blood groups and transfusion (2 papers). H Rouger is often cited by papers focused on Hereditary Neurological Disorders (4 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Blood groups and transfusion (2 papers). H Rouger collaborates with scholars based in France and Switzerland. H Rouger's co-authors include François Schächter, Philippe Froguel, Daniel Cohen, Laurence Faure-Delanef, Frédérique Guénot, Laurence Lesueur‐Ginot, Sandrine Tardieu, Éric Leguern, Alexis Brice and Nazha Birouk and has published in prestigious journals such as Nature Genetics, Neurology and British Journal of Haematology.

In The Last Decade

H Rouger

7 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genetic associations with human longevity at the APOE and ACE loci

1994 835 citations François Schächter, Laurence Faure-Delanef et al. Nature Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
H Rouger France	6	323	289	257	241	211	7	1.1k
Frédérique Guénot France	3	291 0.9×	408 1.4×	259 1.0×	57 0.2×	223 1.1×	3	1.1k
Laurence Faure-Delanef France	5	311 1.0×	260 0.9×	286 1.1×	58 0.2×	231 1.1×	5	974
Raffaele Maletta Italy	18	564 1.7×	589 2.0×	71 0.3×	185 0.8×	133 0.6×	53	1.3k
E Feraco Italy	14	503 1.6×	505 1.7×	317 1.2×	41 0.2×	122 0.6×	20	1.2k
Kenichiro Kinouchi Japan	20	587 1.8×	587 2.0×	191 0.7×	81 0.3×	49 0.2×	50	1.8k
Maarten P. Koeners Netherlands	18	318 1.0×	202 0.7×	45 0.2×	46 0.2×	75 0.4×	33	959
I. Jeanette Lynch United States	20	330 1.0×	515 1.8×	59 0.2×	55 0.2×	240 1.1×	30	1.4k
Jukka Louhija Finland	8	179 0.6×	196 0.7×	102 0.4×	42 0.2×	79 0.4×	10	495
Cristal M. Hill United States	16	551 1.7×	479 1.7×	256 1.0×	39 0.2×	87 0.4×	27	1.1k
Adam C. Naj United States	22	502 1.6×	741 2.6×	31 0.1×	97 0.4×	541 2.6×	68	1.5k

Countries citing papers authored by H Rouger

Since Specialization

Citations

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

Fields of papers citing papers by H Rouger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Rouger

This figure shows the co-authorship network connecting the top 25 collaborators of H Rouger. A scholar is included among the top collaborators of H Rouger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H Rouger. H Rouger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Birouk, Nazha, Éric Leguern, Thierry Maisonobe, et al.. (1998). X-linked Charcot-Marie-Tooth disease with connexin 32 mutations. Neurology. 50(4). 1074–1082. 133 indexed citations

2.

Meggouh, Farid, Ali Benomar, H Rouger, et al.. (1998). The first de novo mutation of the connexin 32 gene associated with X linked Charcot-Marie-Tooth disease.. Journal of Medical Genetics. 35(3). 251–252. 16 indexed citations

3.

Rouger, H, Éric Leguern, Nazha Birouk, et al.. (1997). Charcot-Marie-Tooth disease with intermediate motor nerve conduction velocities: Characterization of 14 C×32 mutations in 35 families. Human Mutation. 10(6). 443–450. 51 indexed citations

4.

Rouger, H, Emmanuelle Girodon, Michel Goossens, Frédéric Galactéros, & Martine Cohen‐Solal. (1996). PK MONDOR: PRENATAL DIAGNOSIS OF A FRAMESHIFT MUTATION IN THE LR PYRUVATE KINASE GENE ASSOCIATED WITH SEVERE HEREDITARY NON-SPHEROCYTIC HAEMOLYTIC ANAEMIA. Prenatal Diagnosis. 16(2). 97–104. 19 indexed citations

5.

Rouger, H, et al.. (1996). Five unknown mutations in the LR pyruvate kinase gene associated with severe hereditary nonspherocytic haemolytic anaemia in France. British Journal of Haematology. 92(4). 825–830. 23 indexed citations

6.

Leguern, Éric, Nazha Birouk, A. Guilbot, et al.. (1996). La maladie de Charcot-Marie-Tooth. 7(3). 179–185. 1 indexed citations

7.

Schächter, François, Laurence Faure-Delanef, Frédérique Guénot, et al.. (1994). Genetic associations with human longevity at the APOE and ACE loci. Nature Genetics. 6(1). 29–32. 835 indexed citations breakdown →

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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