Himanshu Sinha

1.5k total citations
33 papers, 1.0k citations indexed

About

Himanshu Sinha is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Himanshu Sinha has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Himanshu Sinha's work include Fungal and yeast genetics research (20 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Bioinformatics and Genomic Networks (6 papers). Himanshu Sinha is often cited by papers focused on Fungal and yeast genetics research (20 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Bioinformatics and Genomic Networks (6 papers). Himanshu Sinha collaborates with scholars based in India, United States and Germany. Himanshu Sinha's co-authors include Lars M. Steinmetz, John H. McCusker, Ronald W. Davis, Daniel R. Richards, Peter J. Oefner, Bradly P. Nicholson, Anupama Yadav, Karthik Raman, Gyan Bhanot and Aparna Radhakrishnan and has published in prestigious journals such as Nature, PLoS ONE and Genetics.

In The Last Decade

Himanshu Sinha

31 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Himanshu Sinha India 15 740 377 252 234 61 33 1.0k
Owen Ryan United States 12 2.0k 2.7× 234 0.6× 128 0.5× 351 1.5× 122 2.0× 13 2.1k
Andrey A. Mironov Russia 20 1.2k 1.6× 450 1.2× 75 0.3× 132 0.6× 63 1.0× 56 1.4k
Arne B. Gjuvsland Norway 17 600 0.8× 493 1.3× 246 1.0× 254 1.1× 60 1.0× 42 1.1k
Donghyun Shin South Korea 16 349 0.5× 315 0.8× 128 0.5× 86 0.4× 12 0.2× 79 844
David Hess United States 16 1.0k 1.4× 138 0.4× 77 0.3× 117 0.5× 70 1.1× 30 1.3k
Richard A. Notebaart Netherlands 21 1.0k 1.4× 181 0.5× 162 0.6× 62 0.3× 214 3.5× 43 1.3k
Ge Song China 16 261 0.4× 78 0.2× 200 0.8× 216 0.9× 42 0.7× 62 750
Dianna G. Fisk United States 6 1.0k 1.4× 87 0.2× 96 0.4× 190 0.8× 75 1.2× 8 1.1k
Sylvia Voegeli Switzerland 9 731 1.0× 82 0.2× 102 0.4× 180 0.8× 72 1.2× 11 805
Yao Yao China 14 542 0.7× 88 0.2× 62 0.2× 120 0.5× 27 0.4× 41 793

Countries citing papers authored by Himanshu Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Himanshu Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Himanshu Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Himanshu Sinha. A scholar is included among the top collaborators of Himanshu Sinha 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 Himanshu Sinha. Himanshu Sinha 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.
Bhatt, Nirav, et al.. (2025). Genome-scale metabolic modelling identifies reactions mediated by SNP-SNP interactions associated with yeast sporulation. npj Systems Biology and Applications. 11(1). 50–50.
2.
Sinha, Himanshu, et al.. (2024). SCI-VCF: a cross-platform GUI solution to summarize, compare, inspect and visualize the variant call format. NAR Genomics and Bioinformatics. 6(3). lqae083–lqae083. 2 indexed citations
3.
Sinha, Himanshu. (2024). An examination of machine learning-based credit card fraud detection systems. International Journal of Science and Research Archive. 12(2). 2282–2284. 12 indexed citations
4.
Sinha, Himanshu, et al.. (2024). Panera: An innovative framework for surmounting uncertainty in microbial community modeling using pan-genera metabolic models. iScience. 27(7). 110358–110358. 1 indexed citations
5.
Sinha, Himanshu, et al.. (2023). MKT1 alleles regulate stress responses through posttranscriptional modulation of Puf3 targets in budding yeast. Yeast. 40(12). 616–627. 6 indexed citations
6.
Yadav, Anupama, et al.. (2023). Role of genetic architecture in phenotypic plasticity. Trends in Genetics. 39(9). 703–714. 4 indexed citations
7.
Xavier, Ashley, Bapu Koundinya Desiraju, Ramachandran Thiruvengadam, et al.. (2021). Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort. BMC Pregnancy and Childbirth. 21(1). 343–343. 3 indexed citations
8.
Parthasarathy, Srinivasan, et al.. (2019). Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks. Frontiers in Genetics. 10. 164–164. 37 indexed citations
9.
Radhakrishnan, Aparna, et al.. (2016). Meiotic Interactors of a Mitotic Gene TAO3 Revealed by Functional Analysis of its Rare Variant. G3 Genes Genomes Genetics. 6(8). 2255–2263. 2 indexed citations
10.
Yadav, Anupama, Kaustubh Dhole, & Himanshu Sinha. (2016). Differential regulation of cryptic genetic variation shapes the genetic interactome underlying complex traits. Genome Biology and Evolution. 8(12). evw258–evw258. 10 indexed citations
11.
Yadav, Anupama, et al.. (2016). The Modular Adaptive Ribosome. PLoS ONE. 11(11). e0166021–e0166021. 8 indexed citations
12.
Sinha, Himanshu, et al.. (2014). Conservation of PHO pathway in ascomycetes and the role of Pho84. Journal of Biosciences. 39(3). 525–536. 37 indexed citations
13.
Ramdas, Shweta, et al.. (2013). Sporulation Genes Associated with Sporulation Efficiency in Natural Isolates of Yeast. PLoS ONE. 8(7). e69765–e69765. 17 indexed citations
14.
Fraser, Hunter B., Sasha F. Levy, Arun R. Chavan, et al.. (2012). Polygenic cis-regulatory adaptation in the evolution of yeast pathogenicity. Genome Research. 22(10). 1930–1939. 37 indexed citations
15.
Sinha, Himanshu, Bradly P. Nicholson, Lars M. Steinmetz, & John H. McCusker. (2006). Complex Genetic Interactions in a Quantitative Trait Locus. PLoS Genetics. 2(2). e13–e13. 101 indexed citations
16.
Steinmetz, Lars M., Himanshu Sinha, Daniel R. Richards, et al.. (2002). Dissecting the architecture of a quantitative trait locus in yeast. Nature. 416(6878). 326–330. 418 indexed citations
17.
Singh, Virendra, Himanshu Sinha, & Rajeev Gupta. (2002). Barriers in the management of asthma and attitudes towards complementary medicine. Respiratory Medicine. 96(10). 835–840. 23 indexed citations
18.
Sinha, Himanshu, et al.. (2000). Regulation of somatic embryogenesis and plant regeneration in sugarcane (Saccharum officinarum).. The Indian Journal of Agricultural Sciences. 70(3). 181–183. 6 indexed citations
19.
Singh, Gurjeet, Himanshu Sinha, & A.M. Ashby. (2000). Cloning and expression studies during vegetative and sexual development of Pbs1, a septin gene homologue from Pyrenopeziza brassicae. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1497(1). 168–174. 5 indexed citations
20.
Whitehead, Steven D., et al.. (1997). GTE SuperPages: Using IR Techniques for Searching Complex Objects. Very Large Data Bases. 553–557. 2 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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