Devashan Naidoo

35 papers receiving 474 citations

Peers

Devashan Naidoo
Comparison fields: 5 of 90
  • Pharmacology 67
  • Renewable Energy, Sustainability and the Environment 117
  • Drug Discovery 1
  • Complementary and alternative medicine 44
  • Pharmacology 41
Replace Ghada I. Mahmoud with:
Ghada I. Mahmoud Egypt
Siti Irma Rahmawati Indonesia
Haizhu Zhang China
Jun‐Jie Tan China
Márcia Rúbia Silva Melo Brazil
Zhihui Liu China
Rajamani Sowmiya India
Raimundo Rafael de Almeida Brazil
Chiara Sinisgalli Italy
Devashan Naidoo relative to Ghada I. Mahmoud Egypt Ghada I. Mahmoud's profile →
Citations per field
00.5×2.6×
Ghada I. Mahmoud · 1×
Citations per year

Countries citing papers authored by Devashan Naidoo

Since Specialization
Citations

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

Fields of papers citing papers by Devashan Naidoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020123
2 202044
3 202042
4 201928
5 201521
6 202218
7 201717
8 202017
9 201517
10 202217
11 201716
12 202114
13 201613
14 201811
15 202210
16 202010
17 20199
18 20189
19 20198
20 20228

About Devashan Naidoo

Devashan Naidoo is a scholar working on Plant Science, Organic Chemistry, Molecular Biology, Pharmacology and Complementary and alternative medicine, having authored 35 papers that have together received 490 indexed citations. Recurring topics across this work include Chemical synthesis and alkaloids (6 papers), Plant tissue culture and regeneration (6 papers), Algal biology and biofuel production (4 papers), Computational Drug Discovery Methods (4 papers), Essential Oils and Antimicrobial Activity (4 papers), Phytochemistry and Biological Activities (3 papers), Alcoholism and Thiamine Deficiency (3 papers) and Medicinal Plants and Neuroprotection (3 papers). The work is most often cited by research in Pharmacology (67 citations), Renewable Energy, Sustainability and the Environment (117 citations), Drug Discovery (1 citation), Complementary and alternative medicine (44 citations) and Pharmacology (41 citations). Devashan Naidoo has collaborated with scholars based in South Africa, India and Czechia. Frequent co-authors include Akash Anandraj, Taurai Mutanda, Joseph K. Bwapwa, Ayan Roy, Pallab Kar, J.F. Finnie, P. Baskaran, Adeyemi O. Aremu, Lenka Poštová Slavětínská and Vijay Kumar. Their work appears in journals such as Planta Medica, Industrial Crops and Products, Journal of Biomolecular Structure and Dynamics, Phytochemistry and Plant Biology.

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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