Ikramul Haque

505 total citations
32 papers, 377 citations indexed

About

Ikramul Haque is a scholar working on Molecular Biology, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, Ikramul Haque has authored 32 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 20 papers in Genetics and 6 papers in Nature and Landscape Conservation. Recurrent topics in Ikramul Haque's work include Identification and Quantification in Food (18 papers), Genetic diversity and population structure (12 papers) and Forensic and Genetic Research (12 papers). Ikramul Haque is often cited by papers focused on Identification and Quantification in Food (18 papers), Genetic diversity and population structure (12 papers) and Forensic and Genetic Research (12 papers). Ikramul Haque collaborates with scholars based in India, United States and Estonia. Ikramul Haque's co-authors include Bhawna Dubey, P. R. Meganathan, Muthukrishnan Eaaswarkhanth, David A. Ray, Mark A. Batzer, Kumarasamy Thangaraj, T. S. Vasulu, Lalji Singh, Soma Roy and Irene Gallego Romero and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and Molecular Phylogenetics and Evolution.

In The Last Decade

Ikramul Haque

27 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ikramul Haque India 12 243 211 65 64 37 32 377
Bhawna Dubey India 11 227 0.9× 186 0.9× 63 1.0× 66 1.0× 37 1.0× 26 353
P. R. Meganathan India 12 268 1.1× 196 0.9× 76 1.2× 66 1.0× 38 1.0× 21 388
F. Tanzariello Italy 6 446 1.8× 282 1.3× 90 1.4× 59 0.9× 40 1.1× 7 580
Mohammad Kaboli Iran 7 110 0.5× 204 1.0× 136 2.1× 37 0.6× 14 0.4× 16 339
Ajay Gaur India 11 103 0.4× 191 0.9× 145 2.2× 36 0.6× 25 0.7× 25 285
Cristiano Tabarroni Italy 7 81 0.3× 228 1.1× 130 2.0× 44 0.7× 18 0.5× 12 327
Chris Holland United States 3 158 0.7× 266 1.3× 48 0.7× 31 0.5× 9 0.2× 4 364
Nadja V. Morf Switzerland 9 112 0.5× 101 0.5× 126 1.9× 16 0.3× 21 0.6× 18 266
Stefano Donegà United States 5 146 0.6× 130 0.6× 74 1.1× 30 0.5× 34 0.9× 6 303
Roland Raimond France 13 160 0.7× 143 0.7× 223 3.4× 32 0.5× 34 0.9× 18 401

Countries citing papers authored by Ikramul Haque

Since Specialization
Citations

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

Fields of papers citing papers by Ikramul Haque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikramul Haque

This figure shows the co-authorship network connecting the top 25 collaborators of Ikramul Haque. A scholar is included among the top collaborators of Ikramul Haque 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 Ikramul Haque. Ikramul Haque 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.
2.
Roy, Soma, et al.. (2022). Asian Crocodile Poaching. Journal of Forensic Science and Medicine. 8(2). 57–61.
3.
Roy, Soma, et al.. (2022). Forensic Identification of Four Indian Snake Species Using Single Multiplex Polymerase Chain Reaction. Journal of Forensic Science and Medicine. 8(3). 81–87. 1 indexed citations
4.
Haque, Ikramul, Shivani Dixit, Akash Kumar, et al.. (2021). An evaluation of inter and intra population structure of Uttar Pradesh, inferred from 24 autosomal STRs. Annals of Human Biology. 49(1). 69–79. 1 indexed citations
5.
Roy, Soma, et al.. (2018). Application of molecular markers in wildlife DNA forensic investigations. SHILAP Revista de lepidopterología. 6 indexed citations
6.
Dubey, Bhawna, P. R. Meganathan, & Ikramul Haque. (2012). Complete mitochondrial genome sequence from an endangered Indian snake, Python molurus molurus (Serpentes, Pythonidae). Molecular Biology Reports. 39(7). 7403–7412. 10 indexed citations
7.
Meganathan, P. R., et al.. (2012). Mitochondrial 16S ribosomal RNA gene for forensic identification of crocodile species. Journal of Forensic and Legal Medicine. 20(4). 334–338. 20 indexed citations
8.
Meganathan, P. R., Bhawna Dubey, Mark A. Batzer, David A. Ray, & Ikramul Haque. (2011). Complete mitochondrial genome sequences of three Crocodylus species and their comparison within the Order Crocodylia. Gene. 478(1-2). 35–41. 23 indexed citations
9.
Meganathan, P. R., et al.. (2011). Validation of a Multiplex PCR Assay for the Forensic Identification of Indian Crocodiles*. Journal of Forensic Sciences. 56(5). 1241–1244. 7 indexed citations
10.
Meganathan, P. R., Bhawna Dubey, Mark A. Batzer, David A. Ray, & Ikramul Haque. (2010). Molecular phylogenetic analyses of genus Crocodylus (Eusuchia, Crocodylia, Crocodylidae) and the taxonomic position of Crocodylus porosus. Molecular Phylogenetics and Evolution. 57(1). 393–402. 37 indexed citations
11.
Dubey, Bhawna, P. R. Meganathan, & Ikramul Haque. (2010). DNA mini-barcoding: An approach for forensic identification of some endangered Indian snake species. Forensic Science International Genetics. 5(3). 181–184. 47 indexed citations
12.
Meganathan, P. R., et al.. (2010). A novel multiplex PCR assay for the identification of Indian crocodiles. Molecular Ecology Resources. 10(4). 744–747. 17 indexed citations
13.
Dubey, Bhawna, P. R. Meganathan, & Ikramul Haque. (2010). Molecular Identification of Three Indian Snake Species Using Simple PCR–RFLP Method*. Journal of Forensic Sciences. 55(4). 1065–1067. 9 indexed citations
14.
Eaaswarkhanth, Muthukrishnan, et al.. (2009). Allele frequency distribution for 15 autosomal STR loci in Afridi Pathan population of Uttar Pradesh, India. Legal Medicine. 11(6). 308–311. 18 indexed citations
15.
Meganathan, P. R., Bhawna Dubey, & Ikramul Haque. (2009). Molecular Identification of Indian Crocodile Species: PCR‐RFLP Method for Forensic Authentication*. Journal of Forensic Sciences. 54(5). 1042–1045. 20 indexed citations
16.
Eaaswarkhanth, Muthukrishnan, Bhawna Dubey, P. R. Meganathan, et al.. (2009). Diverse genetic origin of Indian Muslims: evidence from autosomal STR loci. Journal of Human Genetics. 54(6). 340–348. 23 indexed citations
17.
Roy, Sudesna, Muthukrishnan Eaaswarkhanth, Bhawna Dubey, & Ikramul Haque. (2008). Autosomal STR variations in three endogamous populations of West Bengal, India. Legal Medicine. 10(6). 326–332. 6 indexed citations
18.
Eaaswarkhanth, Muthukrishnan, T. S. Vasulu, & Ikramul Haque. (2008). Genetic Affinity Between Diverse Ethnoreligious Communities of Tamil Nadu, India: A Microsatellite Study. Human Biology. 80(6). 601–609. 2 indexed citations
19.
Dubey, Bhawna, P. R. Meganathan, Muthukrishnan Eaaswarkhanth, T. S. Vasulu, & Ikramul Haque. (2008). Forensic STR profile of two endogamous populations of Madhya Pradesh, India. Legal Medicine. 11(1). 41–44. 20 indexed citations
20.
Eaaswarkhanth, Muthukrishnan, Soma Roy, & Ikramul Haque. (2007). Allele frequency distribution for 15 autosomal STR loci in two Muslim populations of Tamilnadu, India. Legal Medicine. 9(6). 332–335. 5 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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