Nadia Raboanatahiry

1.0k citations
21 papers · 692 · h-index 15

Impact in

    • Lipid metabolism and biosynthesis
    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance

Papers in

    • Photosynthetic Processes and Mechanisms 6
    • Nitrogen and Sulfur Effects on Brassica 4
    • Plant biochemistry and biosynthesis 3
    • Plant Gene Expression Analysis 2
    • Lipid metabolism and biosynthesis 12

Nadia Raboanatahiry

21 papers receiving 684 citations

Peers

Nadia Raboanatahiry
Comparison fields: 5 of 71
  • Biochemistry 181
  • Plant Science 433
  • Molecular Biology 422
  • Horticulture 4
  • Genetics 68
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Yang Bai China
Young‐Soo Chung South Korea
Shanshan Chu China
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Citations per year

Countries citing papers authored by Nadia Raboanatahiry

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Raboanatahiry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016117
2 2021109
3 201787
4 201784
5 201847
6 201631
7 201928
8 201822
9 201721
10 201717
11 201816
12 201516
13 201515
14 201615
15 202114
16 201913
17 202211
18 20199
19 20229
20 20228

About Nadia Raboanatahiry

Nadia Raboanatahiry is a scholar working on Molecular Biology, Biochemistry, Plant Science, Genetics and Infectious Diseases, having authored 21 papers that have together received 692 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (12 papers), Photosynthetic Processes and Mechanisms (6 papers), Nitrogen and Sulfur Effects on Brassica (4 papers), Plant Molecular Biology Research (4 papers), Plant biochemistry and biosynthesis (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Plant Gene Expression Analysis (2 papers) and Research in Cotton Cultivation (2 papers). The work is most often cited by research in Biochemistry (181 citations), Plant Science (433 citations), Molecular Biology (422 citations), Horticulture (4 citations) and Genetics (68 citations). Nadia Raboanatahiry has collaborated with scholars based in China and United States. Frequent co-authors include Maoteng Li, Huaixin Li, Hongbo Chao, Kai Zhang, Yongtai Yin, Bin Zhu, Jun Xiang, Baoshan Wang, Jianping Gan and Longjiang Yu. Their work appears in journals such as Frontiers in Plant Science, BMC Genomics, Scientific Reports, The Plant Journal and Plant Biotechnology Journal.

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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