Danya Ben-Hail

2.2k citations
21 papers · 1.6k indexed · h-index 16
Topics
Mitochondrial Function and Pathology (14 papers)ATP Synthase and ATPases Research (10 papers)Metabolism and Genetic Disorders (5 papers)

In The Last Decade

Danya Ben-Hail

21 papers receiving 1.6k citations

Peers

Danya Ben-Hail
Comparison fields: 5 of 104
  • Molecular Biology 1.2k
  • Physiology 233
  • Cellular and Molecular Neuroscience 231
  • Cancer Research 213
  • Clinical Biochemistry 164
Replace Vincent Soubannier with:
Vincent Soubannier Canada
Benjamin Gottschalk Austria
Ludivine Walter France
Stéphane Duvezin‐Caubet France
Sophia Schedin‐Weiss Sweden
Joél Smet Belgium
Andrei I. Tarasov United Kingdom
Paulina Patalas‐Krawczyk Poland
Luisa Gregori United States
Kathy Pfeiffer Germany
Danya Ben-Hail relative to Vincent Soubannier Canada Vincent Soubannier's profile →
Citations per field
00.5×1.5×
Vincent Soubannier · 1×
Citations per year

Countries citing papers authored by Danya Ben-Hail

Since Specialization
Citations

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

Fields of papers citing papers by Danya Ben-Hail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danya Ben-Hail. 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 Danya Ben-Hail. The network helps show where Danya Ben-Hail may publish in the future.

Co-authorship network of co-authors of Danya Ben-Hail

This figure shows the co-authorship network connecting the top 25 collaborators of Danya Ben-Hail. A scholar is included among the top collaborators of Danya Ben-Hail 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 Danya Ben-Hail. Danya Ben-Hail 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 15
2 68
3 124
4 65
5 109
6 112
7 51
8 88
9 202
10 1
11 14
12 20
13 8
14 125
15 102
16 64
17 145
18 1
19 89
20 203

About Danya Ben-Hail

Danya Ben-Hail is a scholar working on Clinical Biochemistry, Structural Biology and Molecular Biology, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (14 papers), ATP Synthase and ATPases Research (10 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Structural Biology (37 citations), Clinical Biochemistry (164 citations) and Molecular Biology (1.2k citations). Danya Ben-Hail has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include Varda Shoshan‐Barmatz, Nir Arbel, Nurit Keinan, Yakov Krelin, Shambhoo Sharan Tripathi, Shay Geula, Hadas Pahima, Dario Mizrachi, Itay Nakdimon and Tasleem Arif. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Cell Metabolism.

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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