El Habib Hani

2.4k citations
20 papers · 1.9k indexed · 1 hit paper · h-index 17

El Habib Hani

20 papers receiving 1.9k citations

Hit Papers

Genomewide Search for Type 2 Diabetes–Susceptibility Gene...20002026200820172000100200300400500

Peers

El Habib Hani
Comparison fields: 5 of 85
  • Surgery 949
  • Molecular Biology 892
  • Genetics 735
  • Endocrinology, Diabetes and Metabolism 529
  • Physiology 342
Replace Terumasa Okada with:
Terumasa Okada United States
Isabelle Briaud United States
Kazuaki Miyake Japan
M. Anello Italy
Ariel Zisman United States
Kohjiro Ueki Japan
Cristina Alarcón United States
Pili Zhang United States
Mitsuru Hashiramoto Japan
Mohammed Bensellam Australia
El Habib Hani relative to Terumasa Okada United States Terumasa Okada's profile →
Citations per field
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Terumasa Okada · 1×
Citations per year

Countries citing papers authored by El Habib Hani

Since Specialization
Citations

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

Fields of papers citing papers by El Habib Hani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by El Habib Hani. 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 El Habib Hani. The network helps show where El Habib Hani may publish in the future.

Co-authorship network of co-authors of El Habib Hani

This figure shows the co-authorship network connecting the top 25 collaborators of El Habib Hani. A scholar is included among the top collaborators of El Habib Hani 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 El Habib Hani. El Habib Hani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 93
2 20
3 61
4 45
5 3
6
Genomewide Search for Type 2 Diabetes–Susceptibility Genes in French Whites: Evidence for a Novel Susceptibility Locus for Early-Onset Diabetes on Chromosome 3q27-qter and Independent Replication of a Type 2–Diabetes Locus on Chromosome 1q21–q24breakdown →
576
7 149
8 8
9 222
10 95
11 203
12 98
13 22
14 17
15 43
16 16
17 78
18 19
19 128
20 16

About El Habib Hani

El Habib Hani is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Metabolism, Diabetes, and Cancer (10 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (529 citations), Genetics (735 citations) and Endocrine and Autonomic Systems (172 citations). El Habib Hani has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Philippe Froguel, Nathalie Vionnet, Christian Dina, Philippe Boutin, Gilberto Velho, Jean-Claude Chèvre, Sophie Gallina, Frédéric Leprêtre, Emmanuelle Durand and S. Dupont. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.

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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