Gous Miah

3.2k total citations · 1 hit paper
42 papers, 2.2k citations indexed

About

Gous Miah is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Gous Miah has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 17 papers in Genetics and 9 papers in Molecular Biology. Recurrent topics in Gous Miah's work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Rice Cultivation and Yield Improvement (8 papers) and Genetic and phenotypic traits in livestock (7 papers). Gous Miah is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (10 papers), Rice Cultivation and Yield Improvement (8 papers) and Genetic and phenotypic traits in livestock (7 papers). Gous Miah collaborates with scholars based in Malaysia, Bangladesh and Iran. Gous Miah's co-authors include Mohd Y. Rafii, Usman Magaji, Abdul Rahim Harun, Asfaliza Ramli, Yusuff Oladosu, Mohd Razi Ismail, Norhani Abdullah, Ghazali Hussin, Abdul Latif and Mir Salahuddin and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Gous Miah

40 papers receiving 2.1k citations

Hit Papers

Principle and application of plant mutagenesis in crop im... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gous Miah Malaysia 22 1.5k 579 474 194 163 42 2.2k
Kalaivani Nadarajah Malaysia 21 1.3k 0.9× 492 0.8× 224 0.5× 221 1.1× 135 0.8× 68 2.0k
Feng Lin China 27 1.9k 1.2× 555 1.0× 530 1.1× 65 0.3× 157 1.0× 80 2.3k
Fangfang Wang China 22 1.3k 0.8× 861 1.5× 142 0.3× 88 0.5× 287 1.8× 53 1.9k
Yusuff Oladosu Malaysia 26 1.8k 1.2× 434 0.7× 338 0.7× 30 0.2× 158 1.0× 86 2.3k
Xiao Ma China 32 2.0k 1.3× 1.0k 1.8× 422 0.9× 59 0.3× 397 2.4× 145 3.0k
Usman Magaji Malaysia 17 1.2k 0.8× 375 0.6× 160 0.3× 38 0.2× 114 0.7× 36 1.5k
Shuxun Yu China 36 3.8k 2.5× 1.8k 3.1× 260 0.5× 413 2.1× 145 0.9× 189 4.6k
Xiyang Zhao China 23 1.1k 0.7× 912 1.6× 697 1.5× 37 0.2× 199 1.2× 106 2.3k

Countries citing papers authored by Gous Miah

Since Specialization
Citations

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

Fields of papers citing papers by Gous Miah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gous Miah

This figure shows the co-authorship network connecting the top 25 collaborators of Gous Miah. A scholar is included among the top collaborators of Gous Miah 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 Gous Miah. Gous Miah 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.
Miah, Gous, et al.. (2022). Identification of polymorphisms in GDF9 and BMP15 genes in Jamunapari and crossbred goats in Bangladesh. Tropical Animal Health and Production. 54(6). 3 indexed citations
2.
Miah, Gous, et al.. (2019). Traits of Sheep and Effects of Protein Supplements on Semen Profile in Indigenous Sheep of Bangladesh. Jurnal Ilmu Ternak dan Veteriner. 24(2). 73–80. 2 indexed citations
3.
Siddiki, AMAM Zonaed, Abdul Baten, Sourav Saha, et al.. (2019). The genome of the Black Bengal goat (Capra hircus). BMC Research Notes. 12(1). 362–362. 20 indexed citations
4.
Siddiki, AMAM Zonaed, Sourav Saha, Atif Rahman, et al.. (2019). Complete mitochondrial genome sequence of Black Bengal goat (Capra hircus). SHILAP Revista de lepidopterología. 4(2). 2121–2122. 7 indexed citations
5.
Miah, Gous, et al.. (2018). Characterization of Hilly Chickens in Consideration of Climate Change Factors: Light and Heat. Brazilian Journal of Poultry Science. 20(4). 731–736. 2 indexed citations
6.
Rafii, Mohd Y., et al.. (2018). Genetic Diversity of Aromatic Rice Germplasm Revealed By SSR Markers. BioMed Research International. 2018. 1–11. 88 indexed citations
7.
Sahebi, Mahbod, Mohamed Hanafi, Mohd Y. Rafii, et al.. (2018). Improvement of Drought Tolerance in Rice (Oryza sativa L.): Genetics, Genomic Tools, and the WRKY Gene Family. BioMed Research International. 2018. 1–20. 114 indexed citations
8.
Miah, Gous, et al.. (2018). Productive and reproductive potentialities of different genetic groups of crossbred cows reared under different farming conditions.. Iranian journal of applied animal science. 8(2). 201–206. 1 indexed citations
9.
Magaji, Usman, et al.. (2017). Molecular analysis of Hsp70 mechanisms in plants and their function in response to stress. Biotechnology and Genetic Engineering Reviews. 33(1). 26–39. 106 indexed citations
10.
Oladosu, Yusuff, Mohd Y. Rafii, Norhani Abdullah, et al.. (2017). Genotype × Environment interaction and stability analyses of yield and yield components of established and mutant rice genotypes tested in multiple locations in Malaysia. Acta Agriculturae Scandinavica Section B - Soil & Plant Science. 67(7). 590–606. 78 indexed citations
11.
Miah, Gous, Mohd Y. Rafii, Mohd Razi Ismail, et al.. (2017). Blast disease intimidation towards rice cultivation: a review of pathogen and strategies to control. The Journal of Animal and Plant Sciences. 27(4). 1058–1066. 25 indexed citations
13.
Hashemi, Farahnaz Sadat Golestan, Mohd Razi Ismail, Mohd Y. Rafii, et al.. (2017). Intelligent mining of large-scale bio-data: Bioinformatics applications. Biotechnology & Biotechnological Equipment. 32(1). 10–29. 27 indexed citations
14.
Rafii, Mohd Y., et al.. (2016). Molecular markers: a potential resource for ginger genetic diversity studies. Molecular Biology Reports. 43(12). 1347–1358. 38 indexed citations
15.
Shabanimofrad, Mahmoodreza, Mohd Y. Rafii, Sadegh Ashkani, et al.. (2016). Mapping of QTLs conferring resistance in rice to brown planthopper, Nilaparvata lugens. Entomologia Experimentalis et Applicata. 162(1). 60–68. 6 indexed citations
16.
Ashkani, Sadegh, Mohd Y. Rafii, Mahmoodreza Shabanimofrad, et al.. (2015). Molecular Breeding Strategy and Challenges Towards Improvement of Blast Disease Resistance in Rice Crop. Frontiers in Plant Science. 6. 886–886. 127 indexed citations
17.
Miah, Gous, Mohd Y. Rafii, Mohd Razi Ismail, et al.. (2014). Recurrent parent genome recovery analysis in a marker-assisted backcrossing program of rice (Oryza sativa L.). Comptes Rendus Biologies. 338(2). 83–94. 44 indexed citations
18.
Das, Ashutosh, et al.. (2013). Genetic parameters of Holstein crossbred on commercial dairy farms in Chittagong, Bangladesh.. Indian Journal of Animal Research. 47(4). 327–330. 5 indexed citations
19.
Miah, Gous, Mohd Y. Rafii, Mohd Razi Ismail, et al.. (2012). Blast resistance in rice: a review of conventional breeding to molecular approaches. Molecular Biology Reports. 40(3). 2369–2388. 193 indexed citations
20.
Miah, Gous, et al.. (2010). Economic values for different economic traits of Red Chittagong cows. The Indian Journal of Animal Sciences. 80(11). 1138–1140. 6 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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