Altafhusain B. Nadaf

1.7k total citations
60 papers, 1.1k citations indexed

About

Altafhusain B. Nadaf is a scholar working on Plant Science, Molecular Biology and Complementary and alternative medicine. According to data from OpenAlex, Altafhusain B. Nadaf has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Plant Science, 16 papers in Molecular Biology and 15 papers in Complementary and alternative medicine. Recurrent topics in Altafhusain B. Nadaf's work include GABA and Rice Research (45 papers), Medicinal Plants and Neuroprotection (15 papers) and Rice Cultivation and Yield Improvement (13 papers). Altafhusain B. Nadaf is often cited by papers focused on GABA and Rice Research (45 papers), Medicinal Plants and Neuroprotection (15 papers) and Rice Cultivation and Yield Improvement (13 papers). Altafhusain B. Nadaf collaborates with scholars based in India, Australia and United States. Altafhusain B. Nadaf's co-authors include Kantilal V. Wakte, V. R. Hinge, Rahul L. Zanan, H. B. Patil, Narendra Jawali, Kiran Khandagale, Robert J Henry, Vitthal T. Barvkar, S. Krishnan and Nirmal Renuka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Altafhusain B. Nadaf

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Altafhusain B. Nadaf India 18 935 311 243 160 135 60 1.1k
Chiaki Matsukura Japan 25 1.9k 2.0× 155 0.5× 965 4.0× 92 0.6× 57 0.4× 41 2.1k
M.G. Melilli Italy 18 738 0.8× 58 0.2× 130 0.5× 42 0.3× 17 0.1× 78 1.1k
Adel Zarei Canada 17 920 1.0× 125 0.4× 490 2.0× 47 0.3× 32 0.2× 19 1.1k
Zhimei Mu China 11 381 0.4× 42 0.1× 254 1.0× 54 0.3× 28 0.2× 19 687
Yumiko Yoshie-Stark Japan 17 247 0.3× 20 0.1× 432 1.8× 52 0.3× 79 0.6× 33 1.0k
Yifan Xing China 11 286 0.3× 25 0.1× 271 1.1× 24 0.1× 33 0.2× 20 716
Shenyuan Pan China 17 349 0.4× 42 0.1× 217 0.9× 54 0.3× 11 0.1× 21 744
Eliana Janet Sanjinez‐Argandoña Brazil 18 315 0.3× 66 0.2× 136 0.6× 31 0.2× 11 0.1× 85 899
Silvana Silveira Brazil 13 106 0.1× 41 0.1× 412 1.7× 270 1.7× 54 0.4× 19 875

Countries citing papers authored by Altafhusain B. Nadaf

Since Specialization
Citations

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

Fields of papers citing papers by Altafhusain B. Nadaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Altafhusain B. Nadaf. 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 Altafhusain B. Nadaf. The network helps show where Altafhusain B. Nadaf may publish in the future.

Co-authorship network of co-authors of Altafhusain B. Nadaf

This figure shows the co-authorship network connecting the top 25 collaborators of Altafhusain B. Nadaf. A scholar is included among the top collaborators of Altafhusain B. Nadaf 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 Altafhusain B. Nadaf. Altafhusain B. Nadaf 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.
Bhatt, Vacha, et al.. (2025). Targeted disruption of OsBADH2 induces basmati aroma in the popular indica rice variety IR-64 using CRISPR/Cas9. Plant Physiology Reports. 30(4). 835–845.
2.
Devkar, Vikas, Yi Chen, Kaushik Ghose, et al.. (2025). Cell‐type‐specific response to silicon treatment in soybean leaves revealed by single‐nucleus RNA sequencing and targeted gene editing. The Plant Journal. 123(1). e70309–e70309. 1 indexed citations
3.
Barvkar, Vitthal T., et al.. (2024). Chloroplast genome sequence of Tectaria coadunata (Tectariaceae), plastome features, mutational hotspots and comparative analysis. Revista Brasileira de Botânica. 47(1). 119–132. 1 indexed citations
4.
Deshmukh, Rupesh, Altafhusain B. Nadaf, Waquar Akhter Ansari, Kashmir Singh, & Humira Sonah. (2023). Biofortification in Cereals. 4 indexed citations
5.
Zehra, Andleeb, et al.. (2023). Evidence of polyamines mediated 2-acetyl-1-pyrroline biosynthesis in aromatic rice rhizospheric fungal species Aspergillus niger. Brazilian Journal of Microbiology. 54(4). 3073–3083. 1 indexed citations
6.
Barvkar, Vitthal T., et al.. (2022). Exploring the core microbiota in scented rice (Oryza sativa L.) rhizosphere through metagenomics approach. Microbiological Research. 263. 127157–127157. 14 indexed citations
7.
Mandlik, Rushil, Surbhi Kumawat, Praveen Khatri, et al.. (2021). Understanding aquaporin regulation defining silicon uptake and role in arsenic, antimony and germanium stress in pigeonpea (Cajanus cajan). Environmental Pollution. 294. 118606–118606. 17 indexed citations
8.
Pable, Anupama A., et al.. (2021). Rhizobacterial consortium mediated aroma and yield enhancement in basmati and non-basmati rice (Oryza sativa L.). Journal of Biotechnology. 328. 47–58. 18 indexed citations
9.
Callmander, Martin W., Timothy Gallaher, John McNeill, et al.. (2020). Neotypification ofPandanus odorifer, the correct name forP. odoratissimus(Pandanaceae). Taxon. 70(1). 182–184. 4 indexed citations
10.
11.
Baviskar, Prashant K., et al.. (2019). Layer-by-layer deposition of TiO2–ZrO2 electrode sensitized with Pandan leaves: natural dye-sensitized solar cell. Materials for Renewable and Sustainable Energy. 8(2). 21 indexed citations
12.
Khandagale, Kiran, et al.. (2017). RNAi mediated down regulation of BADH2 gene for expression of 2-acetyl-1-pyrroline in non-scented indica rice IR-64 (Oryza sativa L.). SHILAP Revista de lepidopterología. 1(Special Issue). 169–169. 3 indexed citations
13.
Hinge, V. R., et al.. (2017). Identification of aroma volatiles and understanding 2-acetyl-1-pyrroline biosynthetic mechanism in aromatic mung bean (Vigna radiata (L.) Wilczek). Physiology and Molecular Biology of Plants. 23(2). 443–451. 24 indexed citations
14.
Zanan, Rahul L. & Altafhusain B. Nadaf. (2013). Conservation Status of Indian Pandanaceae. American Journal of Plant Sciences. 4(6). 51–56. 2 indexed citations
15.
Nadaf, Altafhusain B., et al.. (2013). Production of 2-acetyl-1-pyrroline by rhizosphere fungi of aromatic rice varieties.. 6(4). 282–286. 3 indexed citations
16.
17.
Wakte, Kantilal V., et al.. (2012). Genetic diversity assessment in Pandanus amaryllifolius Roxb. populations of India. Genetic Resources and Crop Evolution. 59(7). 1583–1595. 9 indexed citations
18.
Nadaf, Altafhusain B., et al.. (2009). Genetic diversity assessment in intra- and inter-populations of Xylocarpus granatum Koen.: a critically endangered and narrowly distributed species of Maharashtra. Current Science. 97(5). 695–701. 5 indexed citations
19.
Wakte, Kantilal V., et al.. (2009). Optimization of HS-SPME conditions for quantification of 2-acetyl-1-pyrroline and study of other volatiles in Pandanus amaryllifolius Roxb.. Food Chemistry. 121(2). 595–600. 44 indexed citations
20.
Nadaf, Altafhusain B., S. Krishnan, & Kantilal V. Wakte. (2006). Histochemical and biochemical analysis of major aroma compound (2-acetyl-1-pyrroline) in basmati and other scented rice (Oryza sativa L.). Current Science. 91(11). 1533–1536. 48 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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