Daniela Buhaş

1.4k citations
45 papers · 967 · h-index 17

Impact in

    • Metabolism and Genetic Disorders
  • Genetics top 10%
    • Genomics and Rare Diseases
    • Genetics and Neurodevelopmental Disorders

Papers in

Daniela Buhaş

41 papers receiving 960 citations

Peers

Daniela Buhaş
Comparison fields: 5 of 71
  • Clinical Biochemistry 325
  • Genetics 224
  • Biochemistry 56
  • Molecular Biology 469
  • Immunology 107
Replace Ali M. AlAsmari with:
Ali M. AlAsmari Saudi Arabia
Florence Renaldo France
Mathilde Lefebvre France
Stephanie Demuth Germany
Elly Verbeek Netherlands
Deborah L. Renaud United States
Iman Gamal El Din Mahmoud Egypt
Nada Abdelmagid Sweden
Maha A. Alotaibi Saudi Arabia
Mary J H Willis United States
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Citations per field
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Ali M. AlAsmari · 1×
Citations per year

Countries citing papers authored by Daniela Buhaş

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Buhaş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016147
2 201580
3 202077
4 202172
5 202271
6 201470
7 201154
8 201449
9 202027
10 201926
11 201324
12 202324
13 201423
14 202221
15 201820
16 202219
17 201617
18 201916
19 201713
20 201813

About Daniela Buhaş

Daniela Buhaş is a scholar working on Clinical Biochemistry, Genetics, Biochemistry, Molecular Biology and Rheumatology, having authored 45 papers that have together received 967 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (17 papers), Genomics and Rare Diseases (10 papers), Mitochondrial Function and Pathology (7 papers), Genetics and Neurodevelopmental Disorders (4 papers), Folate and B Vitamins Research (4 papers), Amino Acid Enzymes and Metabolism (3 papers), RNA regulation and disease (3 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Clinical Biochemistry (325 citations), Genetics (224 citations), Biochemistry (56 citations), Molecular Biology (469 citations) and Immunology (107 citations). Daniela Buhaş has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Paula J. Waters, Chantal Poulin, Joaquim Miró, Nathalie Alos, Gilles Chabot, Grant A. Mitchell, Frank Rutsch, Chantale Lapierre, Yvonne Nitschke and Thomas Édouard. Their work appears in journals such as Journal of Inherited Metabolic Disease, The Journal of Experimental Medicine, Human Mutation, Genetics in Medicine and European Journal of Human 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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