Anupma Sharma

6.9k total citations
31 papers, 838 citations indexed

About

Anupma Sharma is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Anupma Sharma has authored 31 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 9 papers in Molecular Biology and 3 papers in Biomedical Engineering. Recurrent topics in Anupma Sharma's work include Chromosomal and Genetic Variations (14 papers), Plant Virus Research Studies (7 papers) and Plant Disease Resistance and Genetics (6 papers). Anupma Sharma is often cited by papers focused on Chromosomal and Genetic Variations (14 papers), Plant Virus Research Studies (7 papers) and Plant Disease Resistance and Genetics (6 papers). Anupma Sharma collaborates with scholars based in United States, China and India. Anupma Sharma's co-authors include Gernot G. Presting, Audrey Barnett, Thomas Wolfgruber, Kevin Schneider, James A. Birchler, Qingyi Yu, Anujit Sarkar, R. Kelly Dawe, Zhi Gao and Fangpu Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Scientific Reports.

In The Last Decade

Anupma Sharma

28 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anupma Sharma United States 12 692 416 103 85 42 31 838
Sarfraz Shafiq Canada 17 720 1.0× 483 1.2× 60 0.6× 33 0.4× 37 0.9× 33 913
Egizia Falistocco Italy 13 504 0.7× 236 0.6× 83 0.8× 158 1.9× 81 1.9× 38 692
Geupil Jang South Korea 13 602 0.9× 447 1.1× 48 0.5× 47 0.6× 24 0.6× 25 853
Chaobo Tong China 21 839 1.2× 663 1.6× 115 1.1× 25 0.3× 65 1.5× 52 1.1k
Hironori Fujita Japan 15 712 1.0× 590 1.4× 21 0.2× 95 1.1× 22 0.5× 30 972
Zhengquan He China 15 520 0.8× 433 1.0× 91 0.9× 88 1.0× 20 0.5× 59 866
Clícia Grativol Brazil 15 817 1.2× 380 0.9× 76 0.7× 40 0.5× 38 0.9× 31 1.0k
Jinpeng Zhang China 25 1.6k 2.2× 374 0.9× 471 4.6× 42 0.5× 34 0.8× 93 1.7k
Jae-Wook Bang South Korea 16 906 1.3× 508 1.2× 122 1.2× 58 0.7× 9 0.2× 37 1.0k
P. B. Kavi Kishor India 13 888 1.3× 394 0.9× 110 1.1× 31 0.4× 12 0.3× 28 1.0k

Countries citing papers authored by Anupma Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anupma Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupma Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Anupma Sharma. A scholar is included among the top collaborators of Anupma Sharma 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 Anupma Sharma. Anupma Sharma 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, Anupma, et al.. (2023). Groundwater quality assessment in the alluvial region of upper yamuna basin, India. Groundwater for Sustainable Development. 22. 100969–100969. 8 indexed citations
2.
Liu, Juan, Jennifer Han, Anupma Sharma, et al.. (2021). Transcriptional regulation of dosage compensation in Carica papaya. Scientific Reports. 11(1). 5854–5854. 6 indexed citations
3.
Sharma, Anupma, et al.. (2021). Recent amplification of microsatellite-associated miniature inverted-repeat transposable elements in the pineapple genome. BMC Plant Biology. 21(1). 424–424. 5 indexed citations
4.
Singh, Ratnesh, et al.. (2020). Insights into high mobility group A (HMGA) proteins from Poaceae family: An in silico approach for studying homologs. Computational Biology and Chemistry. 87. 107306–107306. 2 indexed citations
5.
Wang, Ying, Ratnesh Singh, Eric Tong, et al.. (2019). Positional cloning and characterization of the papaya diminutive mutant reveal a truncating mutation in the CpMMS19 gene. New Phytologist. 225(5). 2006–2021. 1 indexed citations
6.
Sharma, Anupma, Jinjin Song, Ratnesh Singh, et al.. (2018). Comparative Analysis of Homologous Sequences of Saccharum officinarum and Saccharum spontaneum Reveals Independent Polyploidization Events. Frontiers in Plant Science. 9. 1414–1414. 4 indexed citations
7.
Liu, Juan, et al.. (2018). Papain-like cysteine proteases in Carica papaya: lineage-specific gene duplication and expansion. BMC Genomics. 19(1). 26–26. 38 indexed citations
8.
Sharma, Anupma, Ching Man Wai, Ray Ming, & Qingyi Yu. (2017). Diurnal Cycling Transcription Factors of Pineapple Revealed by Genome-Wide Annotation and Global Transcriptomic Analysis. Genome Biology and Evolution. 9(9). 2170–2190. 23 indexed citations
9.
Wolfgruber, Thomas, Kevin Schneider, Anupma Sharma, et al.. (2016). High Quality Maize Centromere 10 Sequence Reveals Evidence of Frequent Recombination Events. Frontiers in Plant Science. 7. 308–308. 26 indexed citations
10.
Zhang, Jisen, Anupma Sharma, Qingyi Yu, et al.. (2016). Comparative structural analysis of Bru1 region homeologs in Saccharum spontaneum and S. officinarum. BMC Genomics. 17(1). 446–446. 7 indexed citations
11.
Kumar, Vipin, et al.. (2015). Two-Warehouse Partial Backlogging Inventory Model For Deteriorating Items With Ramp Type Demand. Computer Engineering and Intelligent Systems. 6(2). 86–97. 1 indexed citations
12.
Sharma, Anupma & Gernot G. Presting. (2014). Evolution of Centromeric Retrotransposons in Grasses. Genome Biology and Evolution. 6(6). 1335–1352. 28 indexed citations
13.
Birchler, James A., Zhi Gao, Anupma Sharma, Gernot G. Presting, & Fangpu Han. (2011). Epigenetic aspects of centromere function in plants. Current Opinion in Plant Biology. 14(2). 217–222. 25 indexed citations
14.
Wolfgruber, Thomas, Anupma Sharma, Kevin Schneider, et al.. (2009). Maize Centromere Structure and Evolution: Sequence Analysis of Centromeres 2 and 5 Reveals Dynamic Loci Shaped Primarily by Retrotransposons. PLoS Genetics. 5(11). e1000743–e1000743. 147 indexed citations
15.
Sharma, Anupma, Kevin Schneider, & Gernot G. Presting. (2008). Sustained retrotransposition is mediated by nucleotide deletions and interelement recombinations. Proceedings of the National Academy of Sciences. 105(40). 15470–15474. 32 indexed citations
16.
Sharma, Anupma & Gernot G. Presting. (2007). Centromeric retrotransposon lineages predate the maize/rice divergence and differ in abundance and activity. Molecular Genetics and Genomics. 279(2). 133–147. 38 indexed citations
17.
Sharma, Anupma, Thomas Wolfgruber, Kiyotaka Nagaki, et al.. (2006). Precise Centromere Mapping Using a Combination of Repeat Junction Markers and Chromatin Immunoprecipitation–Polymerase Chain Reaction. Genetics. 174(2). 1057–1061. 24 indexed citations
18.
Sen, Jayanti, Sumona Mukherjee, & Anupma Sharma. (1990). Study of chromosomes, DNA amount, and in vitro growth in different species of Luzula. Genome. 33(1). 143–147. 6 indexed citations
19.
Sharma, Anupma, et al.. (1988). Chromosome structure rearrangements and genome relationship in Maydeae. Feddes Repertorium. 99(7-8). 291–337.
20.
Sharma, Anupma, et al.. (1985). Some chromosomal information in Haemonchus contortus Cobb, 1898.. CYTOLOGIA. 50(4). 855–857. 1 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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