A. Maitra

628 total citations
29 papers, 477 citations indexed

About

A. Maitra is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Agronomy and Crop Science. According to data from OpenAlex, A. Maitra has authored 29 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Agronomy and Crop Science. Recurrent topics in A. Maitra's work include Genetic and phenotypic traits in livestock (19 papers), Reproductive Biology and Fertility (8 papers) and Genetic diversity and population structure (6 papers). A. Maitra is often cited by papers focused on Genetic and phenotypic traits in livestock (19 papers), Reproductive Biology and Fertility (8 papers) and Genetic diversity and population structure (6 papers). A. Maitra collaborates with scholars based in India, United States and United Kingdom. A. Maitra's co-authors include Rekha Sharma, Sonika Ahlawat, M. S. Tantia, Madhu Sudan Tantia, Manishi Mukesh, Amit Kishore, A F Gazdar, Alan R. Davis, X. L. Xu and John D. Minna and has published in prestigious journals such as Gene, Human Pathology and Animal Reproduction Science.

In The Last Decade

A. Maitra

28 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Maitra India 11 296 183 95 71 66 29 477
Soo‐Bong Park South Korea 13 241 0.8× 194 1.1× 68 0.7× 93 1.3× 40 0.6× 38 473
Colette A. Abbey United States 11 119 0.4× 138 0.8× 164 1.7× 36 0.5× 54 0.8× 23 520
Ottheinz Krebs Germany 15 234 0.8× 241 1.3× 86 0.9× 22 0.3× 73 1.1× 24 537
Edward T. Bagu Canada 12 115 0.4× 88 0.5× 147 1.5× 97 1.4× 25 0.4× 24 464
Jianzhi Pan Japan 11 179 0.6× 369 2.0× 21 0.2× 86 1.2× 26 0.4× 36 516
Debra T. Clopton United States 11 176 0.6× 133 0.7× 123 1.3× 134 1.9× 27 0.4× 24 440
Carmen Rodríguez Spain 13 407 1.4× 265 1.4× 19 0.2× 37 0.5× 142 2.2× 19 717
Huanmin Zhou China 12 153 0.5× 113 0.6× 79 0.8× 114 1.6× 22 0.3× 40 379
Zongsheng Zhao China 13 125 0.4× 127 0.7× 53 0.6× 28 0.4× 111 1.7× 40 328
Gloria Muñoz Spain 13 277 0.9× 122 0.7× 23 0.2× 24 0.3× 97 1.5× 24 564

Countries citing papers authored by A. Maitra

Since Specialization
Citations

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

Fields of papers citing papers by A. Maitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Maitra

This figure shows the co-authorship network connecting the top 25 collaborators of A. Maitra. A scholar is included among the top collaborators of A. Maitra 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 A. Maitra. A. Maitra 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.
Sharma, Rekha, et al.. (2015). Identification of novel SNPs in INHBB gene of Indian goat. The Indian Journal of Animal Sciences. 85(1). 5 indexed citations
2.
Ahlawat, Sonika, et al.. (2015). Prolificacy in Indian goat breeds is independent of FecB mutation. The Indian Journal of Animal Sciences. 85(6). 10 indexed citations
3.
Ahlawat, Sonika, Rekha Sharma, A. Maitra, & M. S. Tantia. (2015). Current status of molecular genetics research of goat fecundity. Small Ruminant Research. 125. 34–42. 37 indexed citations
4.
Sharma, Rekha, Amit Kishore, Manishi Mukesh, et al.. (2015). Genetic diversity and relationship of Indian cattle inferred from microsatellite and mitochondrial DNA markers. BMC Genetics. 16(1). 73–73. 89 indexed citations
5.
Maitra, A., Rekha Sharma, Sonika Ahlawat, & M. S. Tantia. (2014). Novel genetic polymorphisms in caprine GPR54 gene associated with reproductive functions. The Indian Journal of Animal Sciences. 84(11). 7 indexed citations
6.
Ahlawat, Sonika, et al.. (2014). Designing, optimization and validation of tetra-primer ARMS PCR protocol for genotyping mutations in caprine Fec genes. Meta Gene. 2. 439–449. 37 indexed citations
7.
Maitra, A., et al.. (2014). Association analysis of polymorphisms in caprine KiSS1 gene with reproductive traits. Animal Reproduction Science. 151(1-2). 71–77. 25 indexed citations
8.
Sharma, Rekha, et al.. (2013). Molecular characterization, body parameters and management practices of Purnea cattle. The Indian Journal of Animal Sciences. 83(5). 28–32. 4 indexed citations
9.
Sharma, Rekha, A. Maitra, Pramod Kumar Singh, & Madhu Sudan Tantia. (2013). Genetic diversity and relationship of cattle populations of East India: distinguishing lesser known cattle populations and established breeds based on STR markers. SpringerPlus. 2(1). 359–359. 26 indexed citations
10.
Maitra, A., et al.. (2013). Preliminary identification and characterisation of leptin gene polymorphism in Indian goats. Journal of Applied Animal Research. 42(1). 118–122. 15 indexed citations
11.
Ahlawat, Sonika, Rekha Sharma, & A. Maitra. (2012). Analysis of coding DNA sequence of GDF9 gene in Indian goats for prolificacy associated markers. The Indian Journal of Animal Sciences. 82(7). 5 indexed citations
12.
Sharma, Rekha, et al.. (2012). Characterization of Shahabadi cattle of Bihar - phenotypic and molecular approaches.. The Indian Journal of Animal Sciences. 82(3). 318–322. 3 indexed citations
13.
Sharma, Rekha, Alok Pandey, A. Maitra, & Bina Mishra. (2011). Established SNPs in DGAT gene of exotic goat is absent in indigenous goat breeds. The Indian Journal of Animal Sciences. 81(6). 1 indexed citations
14.
Maitra, A., et al.. (2011). Identification of four novel single nucleotide polymorphisms of CAPN1 gene in Indian goat. The Indian Journal of Animal Sciences. 81(12). 2 indexed citations
15.
Pandey, Avinash, et al.. (2011). Microsatellite based genetic characterization of Motu cattle. The Indian Journal of Animal Sciences. 81(5). 2 indexed citations
16.
Pandey, Avinash, et al.. (2011). Estimation of genetic variability parameters in Kumaun hill cattle (Kumauni cattle) by STR markers. The Indian Journal of Animal Sciences. 81(2). 1 indexed citations
17.
Sharma, Rekha, Avinash Pandey, A. Maitra, et al.. (2010). Microsatellite based diversity estimation of Changthangi - a high altitude sheep breed of India.. The Indian Journal of Animal Sciences. 80(5). 436–440. 9 indexed citations
18.
Xu, X. L., Leeju C. Wu, Feng Du, et al.. (2001). Inactivation of human SRBC, located within the 11p15.5-p15.4 tumor suppressor region, in breast and lung cancers.. PubMed. 61(21). 7943–9. 87 indexed citations
19.
Maitra, A., et al.. (2000). What is your diagnosis?. Journal of Small Animal Practice. 41(9). 383–383. 2 indexed citations
20.
Maitra, A.. (1999). Molecular abnormalities associated with secretory carcinomas of the breast. Human Pathology. 30(12). 1435–1440. 27 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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