Subhashree Parida

1.7k total citations
76 papers, 1.3k citations indexed

About

Subhashree Parida is a scholar working on Genetics, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Subhashree Parida has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 21 papers in Molecular Biology and 15 papers in Agronomy and Crop Science. Recurrent topics in Subhashree Parida's work include Genetic and phenotypic traits in livestock (19 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Reproductive Physiology in Livestock (10 papers). Subhashree Parida is often cited by papers focused on Genetic and phenotypic traits in livestock (19 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Reproductive Physiology in Livestock (10 papers). Subhashree Parida collaborates with scholars based in India and Russia. Subhashree Parida's co-authors include Thakur Uttam Singh, Madhu Cholenahalli Lingaraju, Manickam Kesavan, Raj Kumar Singh, Dinesh Kumar, Manjit Panigrahi, Santosh Kumar Mishra, Bharat Bhushan, Dinesh Kumar and Harshit Kumar and has published in prestigious journals such as Gene, Life Sciences and European Journal of Pharmacology.

In The Last Decade

Subhashree Parida

74 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhashree Parida India 19 361 348 221 143 130 76 1.3k
Ann Thomas United States 25 576 1.6× 182 0.5× 226 1.0× 63 0.4× 26 0.2× 46 1.7k
Wei Xue China 20 444 1.2× 75 0.2× 97 0.4× 181 1.3× 32 0.2× 68 1.4k
Lilly Ganju India 29 865 2.4× 376 1.1× 200 0.9× 23 0.2× 42 0.3× 117 2.5k
Chunyan Wu China 25 450 1.2× 110 0.3× 108 0.5× 29 0.2× 28 0.2× 62 1.6k
Xiaogang Weng China 21 835 2.3× 128 0.4× 76 0.3× 39 0.3× 34 0.3× 99 1.7k
Jinxin Liu China 23 653 1.8× 106 0.3× 216 1.0× 18 0.1× 39 0.3× 66 1.6k
M. Iqbal India 24 672 1.9× 129 0.4× 36 0.2× 48 0.3× 61 0.5× 43 1.8k
Ravindra P. Veeranna India 21 623 1.7× 213 0.6× 285 1.3× 53 0.4× 13 0.1× 48 1.9k
Thakur Uttam Singh India 19 419 1.2× 36 0.1× 216 1.0× 28 0.2× 131 1.0× 66 1.3k
Dhananjay Shukla India 19 452 1.3× 202 0.6× 146 0.7× 11 0.1× 23 0.2× 50 1.1k

Countries citing papers authored by Subhashree Parida

Since Specialization
Citations

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

Fields of papers citing papers by Subhashree Parida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhashree Parida

This figure shows the co-authorship network connecting the top 25 collaborators of Subhashree Parida. A scholar is included among the top collaborators of Subhashree Parida 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 Subhashree Parida. Subhashree Parida 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.
Johnson, B, M. Karikalan, Anil Kumar Sharma, et al.. (2025). Weekly administration of betulinic acid prevents development of chronic renal failure from acute renal failure in folic acid-induced mouse model of kidney injury. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(7). 8511–8523. 1 indexed citations
2.
Panigrahi, Manjit, Divya Rajawat, Sonali Sonejita Nayak, et al.. (2024). Genomic insights into key genes and QTLs involved in cattle reproduction. Gene. 917. 148465–148465. 5 indexed citations
3.
Rajawat, Divya, Sonali Sonejita Nayak, Anurodh Sharma, et al.. (2024). Genome-wide mining of diversity and evolutionary signatures revealed selective hotspots in Indian Sahiwal cattle. Gene. 901. 148178–148178. 6 indexed citations
4.
Panigrahi, Manjit, M. Karikalan, Madhu C. Lingaraju, et al.. (2024). Involvement of ObRb receptor, nitric oxide, and BKCa channel signaling pathways in leptin-induced relaxation of pregnant mouse uterus. European Journal of Pharmacology. 978. 176796–176796. 2 indexed citations
5.
Rajawat, Divya, et al.. (2023). Relevance of pharmacogenetics and pharmacogenomics in veterinary clinical practice: A review. Animal Genetics. 55(1). 3–19. 8 indexed citations
6.
Kumar, Harshit, Manjit Panigrahi, K.A. Saravanan, et al.. (2021). SNPs with intermediate minor allele frequencies facilitate accurate breed assignment of Indian Tharparkar cattle. Gene. 777. 145473–145473. 13 indexed citations
7.
Panigrahi, Manjit, et al.. (2020). Transcriptome profiling of buffalo endometrium reveals molecular signature distinct to early pregnancy. Gene. 743. 144614–144614. 3 indexed citations
8.
Ahmad, Sheikh Firdous, Manjit Panigrahi, Subhashree Parida, et al.. (2019). Revelation of genomic breed composition in a crossbred cattle of India with the help of Bovine50K BeadChip. Genomics. 112(2). 1531–1535. 30 indexed citations
9.
Chauhan, Sakshi, Subhashree Parida, Vivek Srivastava, et al.. (2019). Hyperlipidemia impairs uterine β-adrenergic signaling by reducing cAMP in late pregnant rats. Reproduction. 159(1). 49–58. 6 indexed citations
10.
Singh, Thakur Uttam, Tarun Kumar, Madhu Cholenahalli Lingaraju, et al.. (2018). Luteolin attenuates acute lung injury in experimental mouse model of sepsis. Cytokine. 110. 333–343. 69 indexed citations
11.
Kesavan, Manickam, Vivek Srivastava, Manjit Panigrahi, et al.. (2017). Hypercholesterolemia impairs oxytocin-induced uterine contractility in late pregnant mouse. Reproduction. 153(5). 565–576. 14 indexed citations
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14.
Singh, Thakur Uttam, Subhashree Parida, Soumen Choudhury, et al.. (2016). NO synthase inhibition attenuates EDHF-mediated relaxation induced by TRPV4 channel agonist GSK1016790A in the rat pulmonary artery: Role of TxA2. Pharmacological Reports. 68(3). 620–626. 11 indexed citations
15.
Parida, Subhashree, Thakur Uttam Singh, Manjit Panigrahi, et al.. (2015). Daidzein pretreatment improves survival in mouse model of sepsis. Journal of Surgical Research. 197(2). 363–373. 13 indexed citations
16.
Panigrahi, Manjit, Amod Kumar, B. C. Saravanan, et al.. (2015). The mRNA expression of immune-related genes in crossbred and Tharparkar cattle in response to in vitro infection with Theileria annulata. Molecular Biology Reports. 42(8). 1247–1255. 18 indexed citations
17.
Choudhury, Soumen, K Kannan, Thakur Uttam Singh, et al.. (2015). Atorvastatin along with imipenem attenuates acute lung injury in sepsis through decrease in inflammatory mediators and bacterial load. European Journal of Pharmacology. 765. 447–456. 16 indexed citations
18.
Singh, Thakur Uttam, et al.. (2011). Arachidonic acid inhibits Na+–K+–ATPase via cytochrome P-450, lipoxygenase and protein kinase C-dependent pathways in sheep pulmonary artery. Vascular Pharmacology. 56(1-2). 84–90. 10 indexed citations
19.
Maharana, Biswa Ranjan, Manjit Panigrahi, Rubina Kumari Baithalu, & Subhashree Parida. (2010). Nanobiotechnology: A voyage to future?. Veterinary World. 3(3). 145–147.
20.
Gupta, Praveen K., et al.. (2008). Role of voltage-dependent potassium channels and myo-endothelial gap junctions in 4-aminopyridine-induced inhibition of acetylcholine relaxation in rat carotid artery. European Journal of Pharmacology. 591(1-3). 171–176. 11 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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