Badara Guèye

542 total citations
23 papers, 289 citations indexed

About

Badara Guèye is a scholar working on Plant Science, Molecular Biology and Complementary and alternative medicine. According to data from OpenAlex, Badara Guèye has authored 23 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 12 papers in Molecular Biology and 4 papers in Complementary and alternative medicine. Recurrent topics in Badara Guèye's work include Plant tissue culture and regeneration (7 papers), Medicinal Plants and Neuroprotection (4 papers) and Potato Plant Research (4 papers). Badara Guèye is often cited by papers focused on Plant tissue culture and regeneration (7 papers), Medicinal Plants and Neuroprotection (4 papers) and Potato Plant Research (4 papers). Badara Guèye collaborates with scholars based in Nigeria, France and Germany. Badara Guèye's co-authors include Michael Abberton, Mubo Adeola Sonibare, Djibril Sané, Gertrud E. Morlock, Ranjana Bhattacharjee, Jean‐Luc Verdeil, Frédérique Aberlenc‐Bertossi, Fabienne Morcillo, Vincent Lebot and Paul Overvoorde and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Chromatography A.

In The Last Decade

Badara Guèye

22 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Badara Guèye Nigeria 11 186 144 73 29 19 23 289
Tijana Banjanac Serbia 11 215 1.2× 172 1.2× 73 1.0× 31 1.1× 9 0.5× 25 331
Suraj D. Umdale India 11 242 1.3× 145 1.0× 48 0.7× 40 1.4× 10 0.5× 29 353
Eugénia Nunes Portugal 10 150 0.8× 134 0.9× 54 0.7× 19 0.7× 15 0.8× 21 308
Nurul Khumaida Indonesia 12 324 1.7× 106 0.7× 86 1.2× 18 0.6× 19 1.0× 95 447
Renu Sarin India 10 221 1.2× 123 0.9× 68 0.9× 13 0.4× 16 0.8× 29 306
A Qaderi Iran 9 178 1.0× 134 0.9× 82 1.1× 20 0.7× 28 1.5× 34 342
Arti Sharma India 10 207 1.1× 190 1.3× 32 0.4× 42 1.4× 15 0.8× 24 344
O. P. Sidhu India 9 211 1.1× 119 0.8× 58 0.8× 49 1.7× 14 0.7× 13 336
Yogeshwar Vikram Dhar India 13 281 1.5× 221 1.5× 27 0.4× 32 1.1× 11 0.6× 22 416
Anzhi Wei China 10 197 1.1× 132 0.9× 55 0.8× 27 0.9× 13 0.7× 12 293

Countries citing papers authored by Badara Guèye

Since Specialization
Citations

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

Fields of papers citing papers by Badara Guèye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Badara Guèye

This figure shows the co-authorship network connecting the top 25 collaborators of Badara Guèye. A scholar is included among the top collaborators of Badara Guèye 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 Badara Guèye. Badara Guèye 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
1.
Sonibare, Mubo Adeola, et al.. (2024). Antidiabetic and antioxidant profiling of 67 African trifoliate yam accessions by planar on-surface assays versus in vitro assays. Fitoterapia. 180. 106299–106299. 1 indexed citations
2.
Guèye, Badara, et al.. (2024). Phytoecdysteroids from Dioscorea dumetorum (Kunth) Pax. and their antioxidant and antidiabetic activities. Fitoterapia. 177. 106103–106103. 5 indexed citations
3.
Guèye, Mame Codou, et al.. (2022). Ethnobotanical study of cowpea (Vigna unguiculata (L.) Walp.) in Senegal. Journal of Ethnobiology and Ethnomedicine. 18(1). 6–6. 3 indexed citations
4.
Paliwal, Rajneesh, Asrat Asfaw, Michael Abberton, et al.. (2021). Cytological and Molecular Characterization for Ploidy Determination in Yams (Dioscorea spp.). Agronomy. 11(10). 1897–1897. 3 indexed citations
5.
Sonibare, Mubo Adeola, et al.. (2021). Elicitation of antioxidant metabolites in Musa species in vitro shoot culture using sucrose, temperature and jasmonic acid. Plant Cell Tissue and Organ Culture (PCTOC). 146(2). 225–236. 15 indexed citations
6.
7.
Burgarella, Concetta, Fabien Cormier, Pierre Mournet, et al.. (2020). Genome-wide genotyping elucidates the geographical diversification and dispersal of the polyploid and clonally propagated yam (Dioscorea alata). Annals of Botany. 126(6). 1029–1038. 27 indexed citations
8.
Guèye, Badara, et al.. (2019). Agromorphologic, genetic and methylation profiling of Dioscorea and Musa species multiplied under three micropropagation systems. PLoS ONE. 14(5). e0216717–e0216717. 9 indexed citations
9.
10.
Lebot, Vincent, et al.. (2019). Simultaneous quantification of allantoin and steroidal saponins in yam (Dioscorea spp.) powders. Journal of Applied Research on Medicinal and Aromatic Plants. 13. 100200–100200. 21 indexed citations
11.
Guèye, Badara, et al.. (2018). In vitro response of three contrasting cassava (M anihot esculenta Crantz) varieties to mannitol-induced drought stress. SHILAP Revista de lepidopterología. 51(3). 125–131. 3 indexed citations
12.
Sonibare, Mubo Adeola, et al.. (2018). Leaves metabolomic profiling of Musa acuminata accessions using UPLC–QTOF–MS/MS and their antioxidant activity. Journal of Food Measurement & Characterization. 12(2). 1093–1106. 15 indexed citations
13.
Malapa, Roger, et al.. (2018). Secondary metabolites content may clarify the traditional selection process of the greater yam cultivars (Dioscorea alata L.). Genetic Resources and Crop Evolution. 65(6). 1699–1709. 8 indexed citations
14.
Girma, Gezahegn, Ranjana Bhattacharjee, Antonio Lopez‐Montes, et al.. (2017). Re-defining the yam (Dioscorea spp.) core collection using morphological traits. Plant Genetic Resources. 16(3). 193–200. 17 indexed citations
15.
Dumet, D., et al.. (2013). Cryopreservation for the 'in perpetuity' conservation of yam and cassava genetic resources.. PubMed. 34(2). 107–18. 7 indexed citations
16.
Sané, Djibril, et al.. (2012). Influence of Growth Regulators on Callogenesis and Somatic Embryo Development in Date Palm (Phoenix dactyliferaL.) Sahelian Cultivars. The Scientific World JOURNAL. 2012. 1–8. 22 indexed citations
17.
Combes, Didier, et al.. (2012). Improved modelling of ryegrass foliar growth. 282–288. 1 indexed citations
18.
Guèye, Badara, Fabienne Morcillo, Myriam Collin, et al.. (2009). Acquisition of callogenic capacity in date palm leaf tissues in response to 2,4-D treatment. Plant Cell Tissue and Organ Culture (PCTOC). 99(1). 35–45. 39 indexed citations
19.
Guèye, Badara, Fabienne Morcillo, Djibril Sané, et al.. (2009). Callogenesis and rhizogenesis in date palm leaf segments: are there similarities between the two auxin-induced pathways?. Plant Cell Tissue and Organ Culture (PCTOC). 98(1). 47–58. 20 indexed citations
20.
Chevalier, M., et al.. (2008). Specific activation of PR-10 pathogenesis-related genes in apple by an incompatible race of Venturia inaequalis. Biologia Plantarum. 52(4). 718–722. 7 indexed citations

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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