Binata Halder

1.2k total citations · 1 hit paper
8 papers, 767 citations indexed

About

Binata Halder is a scholar working on Molecular Biology, Otorhinolaryngology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Binata Halder has authored 8 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Otorhinolaryngology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Binata Halder's work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers) and Genomics and Phylogenetic Studies (3 papers). Binata Halder is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers) and Genomics and Phylogenetic Studies (3 papers). Binata Halder collaborates with scholars based in India and United States. Binata Halder's co-authors include Supriyo Chakraborty, Prosenjit Paul, Arif Uddin, Arup Kumar Malakar, Supriyo Chakraborty and Supriyo Chakraborty and has published in prestigious journals such as Gene, Journal of Cellular Physiology and Genomics.

In The Last Decade

Binata Halder

8 papers receiving 756 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review on coronary artery disease, its risk factors, and therapeutics

2019 681 citations Binata Halder, Prosenjit Paul et al. Journal of Cellular Physiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Binata Halder India	6	273	212	163	107	91	8	767
Wei Hsian Yin Taiwan	16	256 0.9×	225 1.1×	123 0.8×	100 0.9×	58 0.6×	68	798
Sergio Vancheri Sweden	8	303 1.1×	116 0.5×	162 1.0×	203 1.9×	38 0.4×	14	785
Kazuyuki Ozaki Japan	17	361 1.3×	120 0.6×	218 1.3×	88 0.8×	50 0.5×	92	817
Ivana Pariggiano Italy	9	206 0.8×	146 0.7×	160 1.0×	55 0.5×	37 0.4×	15	759
Dongying Zhang China	15	248 0.9×	292 1.4×	81 0.5×	42 0.4×	109 1.2×	56	902
Keiko Maeda Japan	14	509 1.9×	198 0.9×	205 1.3×	49 0.5×	58 0.6×	45	1.1k
César Ríos‐Navarro Spain	18	353 1.3×	171 0.8×	183 1.1×	154 1.4×	41 0.5×	77	781
Mariateresa Pucci Italy	9	293 1.1×	134 0.6×	125 0.8×	91 0.9×	42 0.5×	17	599
Prosenjit Paul India	10	281 1.0×	501 2.4×	171 1.0×	111 1.0×	315 3.5×	23	1.2k
Mario Crisci Italy	9	221 0.8×	147 0.7×	135 0.8×	40 0.4×	36 0.4×	15	753

Countries citing papers authored by Binata Halder

Since Specialization

Citations

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

Fields of papers citing papers by Binata Halder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binata Halder

This figure shows the co-authorship network connecting the top 25 collaborators of Binata Halder. A scholar is included among the top collaborators of Binata Halder 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 Binata Halder. Binata Halder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Halder, Binata, et al.. (2019). Genetic evolution and codon usage analysis of NKX-2.5 gene governing heart development in some mammals. Genomics. 112(2). 1319–1329. 10 indexed citations

2.

Halder, Binata, et al.. (2019). A review on coronary artery disease, its risk factors, and therapeutics. Journal of Cellular Physiology. 234(10). 16812–16823. 681 indexed citations breakdown →

3.

Halder, Binata, Arup Kumar Malakar, & Supriyo Chakraborty. (2017). Nucleotide composition determines the role of translational efficiency in human genes. Bioinformation. 13(2). 46–53. 14 indexed citations

4.

Halder, Binata, Arup Kumar Malakar, & Supriyo Chakraborty. (2017). Dissimilar substitution rates between two strands of DNA influence codon usage pattern in some human genes. Gene. 645. 179–187. 1 indexed citations

5.

Chakraborty, Supriyo, et al.. (2017). Codon usage and expression level of human mitochondrial 13 protein coding genes across six continents. Mitochondrion. 42. 64–76. 11 indexed citations

6.

Malakar, Arup Kumar, Binata Halder, Prosenjit Paul, & Supriyo Chakraborty. (2016). Cytochrome P450 genes in coronary artery diseases: Codon usage analysis reveals genomic GC adaptation. Gene. 590(1). 35–43. 12 indexed citations

7.

Malakar, Arup Kumar, et al.. (2016). Nasopharyngeal carcinoma: understanding its molecular biology at a fine scale. European Journal of Cancer Prevention. 27(1). 33–41. 33 indexed citations

8.

Malakar, Arup Kumar, et al.. (2015). Allele frequency for Cystic fibrosis in Indians vis-a/-vis global populations. Bioinformation. 11(7). 348–352. 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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