Nitika Rana

1.4k total citations · 1 hit paper
19 papers, 766 citations indexed

About

Nitika Rana is a scholar working on Plant Science, Molecular Biology and Environmental Chemistry. According to data from OpenAlex, Nitika Rana has authored 19 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Environmental Chemistry. Recurrent topics in Nitika Rana's work include Plant nutrient uptake and metabolism (4 papers), GABA and Rice Research (4 papers) and Plant Stress Responses and Tolerance (3 papers). Nitika Rana is often cited by papers focused on Plant nutrient uptake and metabolism (4 papers), GABA and Rice Research (4 papers) and Plant Stress Responses and Tolerance (3 papers). Nitika Rana collaborates with scholars based in India, United States and United Kingdom. Nitika Rana's co-authors include Baljinder Kaur, Akansha Sharma, Sevaram Singh, Monika Yadav, Vinay Mohan Pathak, Neelesh Babu, Varsha Pandey, Asutosh Mohapatra, Balwant Rawat and Reshma Kumari and has published in prestigious journals such as Frontiers in Microbiology, Critical Reviews in Food Science and Nutrition and Physiologia Plantarum.

In The Last Decade

Nitika Rana

17 papers receiving 748 citations

Hit Papers

Current status of pesticide effects on environment, human... 2022 2026 2023 2024 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitika Rana India 9 421 159 146 132 90 19 766
Akansha Sharma India 4 256 0.6× 104 0.7× 140 1.0× 126 1.0× 74 0.8× 5 575
Neelesh Babu India 4 260 0.6× 99 0.6× 141 1.0× 127 1.0× 74 0.8× 5 573
Balwant Rawat India 14 433 1.0× 281 1.8× 146 1.0× 134 1.0× 129 1.4× 43 1.1k
Reshma Kumari India 3 260 0.6× 98 0.6× 140 1.0× 127 1.0× 77 0.9× 3 565
Asutosh Mohapatra India 5 281 0.7× 101 0.6× 140 1.0× 125 0.9× 94 1.0× 7 633
Dongqiang Zeng China 16 263 0.6× 162 1.0× 207 1.4× 212 1.6× 85 0.9× 51 676
María Ángeles Castillo Spain 19 269 0.6× 110 0.7× 185 1.3× 189 1.4× 63 0.7× 27 739
Amit Kishore Singh India 15 401 1.0× 214 1.3× 125 0.9× 47 0.4× 46 0.5× 35 833
Haiqun Cao China 16 202 0.5× 105 0.7× 162 1.1× 199 1.5× 183 2.0× 36 702
Junhua Yang China 17 388 0.9× 134 0.8× 152 1.0× 45 0.3× 110 1.2× 40 798

Countries citing papers authored by Nitika Rana

Since Specialization
Citations

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

Fields of papers citing papers by Nitika Rana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitika Rana

This figure shows the co-authorship network connecting the top 25 collaborators of Nitika Rana. A scholar is included among the top collaborators of Nitika Rana 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 Nitika Rana. Nitika Rana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Kumar, Virender, Rushil Mandlik, Surbhi Kumawat, et al.. (2025). Deciphering the role of monoacylglycerol lipases (MAGL) under abiotic stress and lipid metabolism in soybean (Glycine max L.). Plant Biotechnology Journal. 23(10). 4318–4335.
2.
Mandlik, Rushil, Shivani Sharma, Gaurav Raturi, et al.. (2023). Genome-wide identification and characterisation of Aquaporin s in Rosa chinensis. The Journal of Horticultural Science and Biotechnology. 99(3). 311–325.
3.
Rana, Nitika, Surbhi Kumawat, Uma Maheshwar Singh, et al.. (2022). Identification of genomic loci governing pericarp colour through GWAS in rice (Oryza sativa L.). Indian Journal of Genetics and Plant Breeding (The). 82(1). 1–6. 5 indexed citations
4.
Pathak, Vinay Mohan, Vijay Verma, Balwant Rawat, et al.. (2022). Current status of pesticide effects on environment, human health and it’s eco-friendly management as bioremediation: A comprehensive review. Frontiers in Microbiology. 13. 962619–962619. 552 indexed citations breakdown →
6.
7.
Kumawat, Surbhi, Pallavi Dhiman, Sreeja Sudhakaran, et al.. (2022). Evolution of Bcl-2 Anthogenes (BAG) as the Regulators of Cell Death in Wild and Cultivated Oryza Species. Journal of Plant Growth Regulation. 42(1). 348–364. 7 indexed citations
8.
Rana, Nitika, Peter Civáň, Gothandapani Sellamuthu, et al.. (2022). Diversity of Sodium Transporter HKT1;5 in Genus Oryza. Rice Science. 29(1). 31–46. 3 indexed citations
9.
Rana, Nitika, Surbhi Kumawat, Virender Kumar, et al.. (2022). Deciphering Haplotypic Variation and Gene Expression Dynamics Associated with Nutritional and Cooking Quality in Rice. Cells. 11(7). 1144–1144. 4 indexed citations
10.
Kumawat, Surbhi, Yogesh Sharma, Sanskriti Vats, et al.. (2021). Understanding the role of SWEET genes in fruit development and abiotic stress in pomegranate (Punica granatum L.). Molecular Biology Reports. 49(2). 1329–1339. 11 indexed citations
11.
Devanna, B. N., Rushil Mandlik, Gaurav Raturi, et al.. (2021). Versatile role of silicon in cereals: Health benefits, uptake mechanism, and evolution. Plant Physiology and Biochemistry. 165. 173–186. 19 indexed citations
12.
Kumawat, Surbhi, Nitika Rana, Rushil Mandlik, et al.. (2021). Identification of aquaporins and deciphering their role under salinity stress in pomegranate (Punica granatum). Journal of Plant Biochemistry and Biotechnology. 30(4). 930–942. 5 indexed citations
13.
Rana, Nitika, Akshay Singh, Pallavi Dhiman, et al.. (2020). Evolutionary Understanding of Metacaspase Genes in Cultivated and Wild Oryza Species and Its Role in Disease Resistance Mechanism in Rice. Genes. 11(12). 1412–1412. 6 indexed citations
14.
Deshmukh, Rupesh, Nitika Rana, Yang Liu, et al.. (2020). Soybean transporter database: A comprehensive database for identification and exploration of natural variants in soybean transporter genes. Physiologia Plantarum. 171(4). 756–770. 10 indexed citations
15.
Vats, Sanskriti, Nitika Rana, Surbhi Kumawat, et al.. (2020). Unexplored nutritive potential of tomato to combat global malnutrition. Critical Reviews in Food Science and Nutrition. 62(4). 1003–1034. 62 indexed citations
16.
Rana, Nitika, Surbhi Kumawat, Vacha Bhatt, et al.. (2019). Advances in induced mutagenesis and mutation mapping approaches in rice. ORYZA- An International Journal on Rice. 56(Special). 106–114. 1 indexed citations
17.
Kumawat, Surbhi, Nitika Rana, Manish Kumar, et al.. (2019). Expanding Avenue of Fast Neutron Mediated Mutagenesis for Crop Improvement. Plants. 8(6). 164–164. 32 indexed citations
18.
Rana, Nitika, Gazaldeep Kaur, Surbhi Kumawat, et al.. (2019). Applications and challenges for efficient exploration of omics interventions for the enhancement of nutritional quality in rice (Oryza sativaL.). Critical Reviews in Food Science and Nutrition. 60(19). 3304–3320. 25 indexed citations
19.
Makkouk, K. M. & Nitika Rana. (1979). Occurrence of tomato mosaic virus in the soils of the coastal region of Lebanon.. ˜The œPlant disease reporter. 63(4). 290–293. 4 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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