Tirtha Kumar Datta

2.4k total citations
123 papers, 1.7k citations indexed

About

Tirtha Kumar Datta is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Tirtha Kumar Datta has authored 123 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 53 papers in Public Health, Environmental and Occupational Health and 48 papers in Genetics. Recurrent topics in Tirtha Kumar Datta's work include Reproductive Biology and Fertility (52 papers), Sperm and Testicular Function (45 papers) and Reproductive Physiology in Livestock (24 papers). Tirtha Kumar Datta is often cited by papers focused on Reproductive Biology and Fertility (52 papers), Sperm and Testicular Function (45 papers) and Reproductive Physiology in Livestock (24 papers). Tirtha Kumar Datta collaborates with scholars based in India, United States and Germany. Tirtha Kumar Datta's co-authors include A. Kumaresan, Sachinandan De, S. L. Goswami, Rakesh Kumar, Biswajit Brahma, T. K. Mohanty, Dheer Singh, Sandeep Rajput, Jane M. Morrell and Arpana Verma and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Tirtha Kumar Datta

118 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tirtha Kumar Datta India 22 640 638 611 591 304 123 1.7k
Liguo Yang China 25 509 0.8× 377 0.6× 612 1.0× 240 0.4× 359 1.2× 106 1.7k
Karen Goossens Belgium 23 431 0.7× 446 0.7× 1.0k 1.7× 180 0.3× 332 1.1× 51 1.9k
Michael Hölker Germany 21 428 0.7× 605 0.9× 471 0.8× 264 0.4× 301 1.0× 39 1.3k
Grégoire Harichaux France 17 256 0.4× 351 0.6× 320 0.5× 488 0.8× 243 0.8× 28 1.1k
Michael K. Dyck Canada 22 588 0.9× 468 0.7× 362 0.6× 405 0.7× 414 1.4× 90 1.6k
Seán Fair Ireland 26 467 0.7× 995 1.6× 225 0.4× 1.1k 1.8× 851 2.8× 99 1.9k
C. Phatsara Germany 21 518 0.8× 385 0.6× 510 0.8× 192 0.3× 167 0.5× 49 1.3k
T. K. Mohanty India 25 672 1.1× 621 1.0× 213 0.3× 869 1.5× 869 2.9× 227 2.0k
Ali A. Fouladi‐Nashta United Kingdom 26 358 0.6× 913 1.4× 446 0.7× 621 1.1× 772 2.5× 59 2.0k
Ahmed Gad Egypt 20 222 0.3× 617 1.0× 553 0.9× 233 0.4× 225 0.7× 53 1.3k

Countries citing papers authored by Tirtha Kumar Datta

Since Specialization
Citations

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

Fields of papers citing papers by Tirtha Kumar Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tirtha Kumar Datta. 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 Tirtha Kumar Datta. The network helps show where Tirtha Kumar Datta may publish in the future.

Co-authorship network of co-authors of Tirtha Kumar Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Tirtha Kumar Datta. A scholar is included among the top collaborators of Tirtha Kumar Datta 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 Tirtha Kumar Datta. Tirtha Kumar Datta 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.
Ramesh, V., Mudasir Hafiz Khan, P. S. Girish, et al.. (2024). Urinary metabolomics reveals potential biomarkers for early detection of pregnancy in Mithun (Bos frontalis) cows. Journal of Proteomics. 306. 105259–105259. 2 indexed citations
2.
Kumar, Rakesh, et al.. (2024). Transient suppression of Wnt signaling in poor-quality buffalo oocytes improves their developmental competence. Frontiers in Veterinary Science. 10. 1324647–1324647. 1 indexed citations
3.
Dutt, Ravi, et al.. (2024). LPS‐Induced Mitochondrial Dysfunction Reduces Oocyte Maturation and Developmental Competence of Buffalo Embryos via ROS Mediated TLR4 Signalling. American Journal of Reproductive Immunology. 92(1). e13902–e13902. 1 indexed citations
4.
Bhakat, Mukesh, et al.. (2024). Differential protein repertoires related to sperm function identified in extracellular vesicles (EVs) in seminal plasma of distinct fertility buffalo (Bubalus bubalis) bulls. Frontiers in Cell and Developmental Biology. 12. 1400323–1400323. 9 indexed citations
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Bhakat, Mukesh, et al.. (2024). Differential abundance of microRNAs in seminal plasma extracellular vesicles (EVs) in Sahiwal cattle bull related to male fertility. Frontiers in Cell and Developmental Biology. 12. 1473825–1473825. 6 indexed citations
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Yadav, Usha, Ravi Dutt, Akansha Gupta, et al.. (2023). Epsilon poly‐lysine in buffalo semen extender: A step towards reducing the development of antibiotic resistance. Reproduction in Domestic Animals. 58(8). 1070–1079. 2 indexed citations
10.
Kumar, Dharmendra, et al.. (2023). Optimising Electroporation Condition for CRISPR/Cas-Mediated Knockout in Zona-Intact Buffalo Zygotes. Animals. 14(1). 134–134. 6 indexed citations
11.
Kumaresan, A., et al.. (2021). Cellular and Molecular Insights Into the Etiology of Subfertility/Infertility in Crossbred Bulls (Bos taurus × Bos indicus): A Review. Frontiers in Cell and Developmental Biology. 9. 696637–696637. 19 indexed citations
12.
Nayak, Samiksha, et al.. (2020). A Higher Abundance of O-Linked Glycans Confers a Selective Advantage to High Fertile Buffalo Spermatozoa for Immune-Evasion From Neutrophils. Frontiers in Immunology. 11. 1928–1928. 18 indexed citations
13.
Brahma, Biswajit, et al.. (2013). Characterization of β-casein gene in Indian riverine buffalo. Gene. 527(2). 683–688. 11 indexed citations
14.
De, Sachinandan, et al.. (2012). Effect of FSH on Expression of Cathepsin K and S During in vitro Maturation of Buffalo Oocytes and their Subsequent Developmental Competence. Indian Journal of Animal Research. 46(2). 137–142. 1 indexed citations
15.
Rajput, Sandeep, Parveen Kumar, Bhaskar Roy, et al.. (2012). Identification of some unknown transcripts from SSH cDNA library of buffalo follicular oocytes. animal. 7(3). 446–454. 9 indexed citations
16.
Bhardwaj, Anuradha, et al.. (2012). Heterologous Expression and Characterization of Indian Sahiwal Cattle (Bos indicus) Alpha Inhibin. Animal Biotechnology. 23(2). 71–88. 4 indexed citations
17.
Ghai, Sandeep, et al.. (2011). Tissue-specific promoter methylation and histone modification regulate CYP19 gene expression during folliculogenesis and luteinization in buffalo ovary. General and Comparative Endocrinology. 173(1). 205–215. 37 indexed citations
18.
Datta, Tirtha Kumar & S. L. Goswami. (1999). EFFECT OF QUALITY OF BUFFALO OOCYTES ON THEIR MATURATION RATE IN VITRO. The Indian Journal of Animal Sciences. 69(1). 23–26. 3 indexed citations
19.
Datta, Tirtha Kumar, et al.. (1993). Comparative efficiency of three oocyte recovery methods from sheep ovaries. The Indian Journal of Animal Sciences. 63(11). 1178–1179. 15 indexed citations
20.
Datta, Tirtha Kumar, et al.. (1986). A model of hemopoietic stress in a lactate dehydrogenase mouse mutant with hemolytic anemia. Annals of Hematology. 52(3). 179–183. 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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