Ajay Pradhan

1.8k total citations
43 papers, 1.3k citations indexed

About

Ajay Pradhan is a scholar working on Health, Toxicology and Mutagenesis, Physiology and Genetics. According to data from OpenAlex, Ajay Pradhan has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Health, Toxicology and Mutagenesis, 10 papers in Physiology and 10 papers in Genetics. Recurrent topics in Ajay Pradhan's work include Effects and risks of endocrine disrupting chemicals (15 papers), Toxic Organic Pollutants Impact (12 papers) and Reproductive biology and impacts on aquatic species (10 papers). Ajay Pradhan is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (15 papers), Toxic Organic Pollutants Impact (12 papers) and Reproductive biology and impacts on aquatic species (10 papers). Ajay Pradhan collaborates with scholars based in Sweden, Türkiye and United States. Ajay Pradhan's co-authors include Per‐Erik Olsson, Jana Jaß, Shounak Baksi, Solomon Asnake, Per Ivarsson, Sean P. Curran, Subrata Pramanik, László Orbán, Carina Modig and Zhan Yin and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ajay Pradhan

42 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
Ajay Pradhan Sweden 21 514 230 205 192 146 43 1.3k
Yuanyuan Li China 19 408 0.8× 121 0.5× 290 1.4× 131 0.7× 43 0.3× 79 1.3k
Marina Piscopo Italy 29 743 1.4× 344 1.5× 436 2.1× 67 0.3× 41 0.3× 93 2.1k
Zhihao Liu China 21 500 1.0× 189 0.8× 170 0.8× 235 1.2× 280 1.9× 48 1.2k
Nancy J. Szabo United States 19 171 0.3× 117 0.5× 174 0.8× 204 1.1× 77 0.5× 34 1.2k
Jean‐Baptiste Fini France 20 838 1.6× 247 1.1× 272 1.3× 170 0.9× 86 0.6× 53 1.6k
Elizabeth M. Wilson United States 10 960 1.9× 179 0.8× 686 3.3× 617 3.2× 119 0.8× 15 2.2k
Md Saidur Rahman South Korea 33 890 1.7× 224 1.0× 626 3.1× 472 2.5× 178 1.2× 107 3.1k
Peng Duan China 26 604 1.2× 189 0.8× 519 2.5× 85 0.4× 32 0.2× 98 2.0k
José-Manuel Molina-Molina Spain 26 1.6k 3.0× 429 1.9× 241 1.2× 259 1.3× 84 0.6× 50 2.3k
Séverine Mazaud‐Guittot France 23 357 0.7× 106 0.5× 624 3.0× 550 2.9× 57 0.4× 52 1.9k

Countries citing papers authored by Ajay Pradhan

Since Specialization
Citations

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

Fields of papers citing papers by Ajay Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Pradhan. A scholar is included among the top collaborators of Ajay Pradhan 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 Ajay Pradhan. Ajay Pradhan 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.
Pramanik, Subrata, Ajay Pradhan, Shamini Ayyadhury, et al.. (2024). Microglia signaling in health and disease – Implications in sex-specific brain development and plasticity. Neuroscience & Biobehavioral Reviews. 165. 105834–105834. 4 indexed citations
2.
Pramanik, Subrata, Asis Bala, & Ajay Pradhan. (2024). Zebrafish in understanding molecular pathophysiology, disease modeling, and developing effective treatments for Rett syndrome. The Journal of Gene Medicine. 26(2). e3677–e3677. 2 indexed citations
3.
Pradhan, Ajay, et al.. (2024). Analyzing Fusion Pore Dynamics and Counting the Number of Acetylcholine Molecules Released by Exocytosis. Journal of the American Chemical Society. 146(38). 25902–25906. 4 indexed citations
4.
Dai, Xiangyan, Ajay Pradhan, Jiao Liu, et al.. (2023). Zebrafish gonad mutant models reveal neuroendocrine mechanisms of brain sexual dimorphism and male mating behaviors of different brain regions. Biology of Sex Differences. 14(1). 53–53. 3 indexed citations
5.
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Pradhan, Ajay, Kaj Blennow, Edward H. Koo, et al.. (2023). Differential effects of familial Alzheimer’s disease-causing mutations on amyloid precursor protein (APP) trafficking, proteolytic conversion, and synaptogenic activity. Acta Neuropathologica Communications. 11(1). 87–87. 9 indexed citations
7.
Zhai, Gang, et al.. (2022). Sex-specific differences in zebrafish brains. Biology of Sex Differences. 13(1). 31–31. 14 indexed citations
8.
9.
Baksi, Shounak & Ajay Pradhan. (2021). Thyroid hormone: sex-dependent role in nervous system regulation and disease. Biology of Sex Differences. 12(1). 25–25. 67 indexed citations
10.
Olsson, Per‐Erik, et al.. (2021). In silico and in vitro assessment of androgen receptor antagonists. Computational Biology and Chemistry. 92. 107490–107490. 18 indexed citations
11.
Shu, Tingting, Gang Zhai, Ajay Pradhan, Per‐Erik Olsson, & Zhan Yin. (2020). Zebrafish cyp17a1 knockout reveals that androgen-mediated signaling is important for male brain sex differentiation. General and Comparative Endocrinology. 295. 113490–113490. 23 indexed citations
12.
Pradhan, Ajay, et al.. (2018). Effect of phthalates on development, reproduction, fat metabolism and lifespan in Daphnia magna. The Science of The Total Environment. 654. 969–977. 86 indexed citations
13.
Saju, Jolly M., Mohammad Sorowar Hossain, Woei Chang Liew, et al.. (2018). Heat Shock Factor 5 Is Essential for Spermatogenesis in Zebrafish. Cell Reports. 25(12). 3252–3261.e4. 31 indexed citations
14.
Pradhan, Ajay & Per‐Erik Olsson. (2018). Germ cell depletion in zebrafish leads to incomplete masculinization of the brain. General and Comparative Endocrinology. 265. 15–21. 13 indexed citations
15.
Pradhan, Ajay, et al.. (2017). Transcriptional responses of zebrafish to complex metal mixtures in laboratory studies overestimates the responses observed with environmental water. The Science of The Total Environment. 584-585. 1138–1146. 9 indexed citations
16.
Pradhan, Ajay, Per‐Erik Olsson, & Jana Jaß. (2017). Di(2-ethylhexyl) phthalate and diethyl phthalate disrupt lipid metabolism, reduce fecundity and shortens lifespan of Caenorhabditis elegans. Chemosphere. 190. 375–382. 76 indexed citations
17.
Pradhan, Ajay & Per‐Erik Olsson. (2015). Zebrafish sexual behavior: role of sex steroid hormones and prostaglandins. Behavioral and Brain Functions. 11(1). 23–23. 61 indexed citations
18.
19.
Pradhan, Ajay, Hazem Khalaf, Scott A. Ochsner, et al.. (2012). Activation of NF-κB Protein Prevents the Transition from Juvenile Ovary to Testis and Promotes Ovarian Development in Zebrafish. Journal of Biological Chemistry. 287(45). 37926–37938. 56 indexed citations
20.
Mujumdar, A.M., et al.. (1998). Effect Of Azadirachta Indica Leaf Extract On Carbontetrachloride - Induced Hepatic Damage In Albino Rats. Indian Journal of Pharmaceutical Sciences. 60(6). 363–367. 20 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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