Jyotsna Sharma

1.3k total citations
56 papers, 606 citations indexed

About

Jyotsna Sharma is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Molecular Biology. According to data from OpenAlex, Jyotsna Sharma has authored 56 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ecology, Evolution, Behavior and Systematics, 28 papers in Plant Science and 17 papers in Molecular Biology. Recurrent topics in Jyotsna Sharma's work include Plant and animal studies (25 papers), Plant and Fungal Species Descriptions (10 papers) and Plant Parasitism and Resistance (9 papers). Jyotsna Sharma is often cited by papers focused on Plant and animal studies (25 papers), Plant and Fungal Species Descriptions (10 papers) and Plant Parasitism and Resistance (9 papers). Jyotsna Sharma collaborates with scholars based in United States, India and Nepal. Jyotsna Sharma's co-authors include Madhav Pandey, Sheeja George, Sujit Shah, Bijaya Pant, Lawrence W. Zettler, J. W. Van Sambeek, D. Lee Taylor, Mark R. Ellersieck, Bhagwan Narayan Rekadwad and Mukti Ram Paudel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Current Biology and Annals of Oncology.

In The Last Decade

Jyotsna Sharma

48 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jyotsna Sharma United States 16 359 334 203 116 92 56 606
Daniel C. Ilut United States 15 408 1.1× 121 0.4× 331 1.6× 30 0.3× 72 0.8× 23 827
Alodie Snirc France 15 440 1.2× 143 0.4× 252 1.2× 226 1.9× 21 0.2× 32 746
Ðenita Hadziabdic United States 15 311 0.9× 102 0.3× 156 0.8× 163 1.4× 16 0.2× 65 623
Joel M. Kniskern United States 12 690 1.9× 139 0.4× 157 0.8× 119 1.0× 40 0.4× 12 851
Michael Alonge United States 7 528 1.5× 82 0.2× 549 2.7× 67 0.6× 14 0.2× 8 955
Jonathan Wright United Kingdom 12 517 1.4× 196 0.6× 455 2.2× 46 0.4× 18 0.2× 13 797
Vindhya Amarasinghe United States 15 328 0.9× 113 0.3× 325 1.6× 36 0.3× 35 0.4× 19 564
V. V. Lia Argentina 18 650 1.8× 142 0.4× 267 1.3× 21 0.2× 13 0.1× 55 897
Hélène Badouin France 11 376 1.0× 134 0.4× 294 1.4× 169 1.5× 9 0.1× 12 600
Irena Jurman Italy 12 478 1.3× 69 0.2× 231 1.1× 42 0.4× 48 0.5× 16 704

Countries citing papers authored by Jyotsna Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Jyotsna Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyotsna Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Jyotsna Sharma. A scholar is included among the top collaborators of Jyotsna 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 Jyotsna Sharma. Jyotsna 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.
Batra, Atul, Sameer Bakhshi, Ajay Gogia, et al.. (2025). LBA15 Low dose pembrolizumab in addition to neoadjuvant anthracycline and taxane in triple-negative breast cancer: A randomized controlled trial. Annals of Oncology. 36. S1560–S1560. 1 indexed citations
2.
Venugopalan, Ramani, B. Vishwanadh, Kinshuk Dasgupta, et al.. (2025). Multi-scale growth mechanism of pyrolytic carbon from acetylene by chemical vapor deposition in spouted bed environment. Particuology. 104. 207–216.
3.
Karremans, Adam P., et al.. (2022). First evidence for multimodal animal seed dispersal in orchids. Current Biology. 33(2). 364–371.e3. 15 indexed citations
4.
Shah, Sujit, Rohit Sharma, Bhagwan Narayan Rekadwad, et al.. (2022). Colonization with non-mycorrhizal culturable endophytic fungi enhances orchid growth and indole acetic acid production. BMC Microbiology. 22(1). 101–101. 23 indexed citations
5.
Taylor, A.D., et al.. (2022). Inter-annual Persistence of Canopy Fungi Driven by Abundance Despite High Spatial Turnover. Microbial Ecology. 86(1). 261–270. 1 indexed citations
6.
Shah, Sujit, et al.. (2021). A prospectus of plant growth promoting endophytic bacterium from orchid (Vanda cristata). BMC Biotechnology. 21(1). 16–16. 30 indexed citations
7.
Phillips, Caleb D., et al.. (2020). Host population size is linked to orchid mycorrhizal fungal communities in roots and soil, which are shaped by microenvironment. Mycorrhiza. 31(1). 17–30. 24 indexed citations
8.
Sharma, Jyotsna, et al.. (2019). High specificity of a rare terrestrial orchid toward a rare fungus within the North American tallgrass prairie. Fungal Biology. 123(12). 895–904. 21 indexed citations
9.
Singh, Samer, et al.. (2018). Phytochemical analysis and mode of action against Candida glabrata of Paeonia emodi extracts. Journal de Mycologie Médicale. 28(3). 443–451. 11 indexed citations
10.
11.
Chopra, Ratan, Charles E. Simpson, Andrew Hillhouse, et al.. (2018). SNP genotyping reveals major QTLs for plant architectural traits between A-genome peanut wild species. Molecular Genetics and Genomics. 293(6). 1477–1491. 4 indexed citations
12.
Sharma, Jyotsna, et al.. (2011). Genetic differentiation in natural populations of a Keystone Bunchgrass (Aristida stricta) across its native range. Genetica. 139(2). 261–271. 6 indexed citations
13.
Peterson, Bryan J., William R. Graves, & Jyotsna Sharma. (2010). Phenotypic and Genotypic Diversity of Eastern Leatherwood in Five Populations That Span Its Geographic Distribution. The American Midland Naturalist. 165(1). 1–21. 6 indexed citations
14.
Ghosh, Srikant, D.D. Ray, G. Das, et al.. (2008). Progress in development of vaccine against Hyalomma anatolicum anatolicum—Indian scenario. Vaccine. 26. G40–G47. 18 indexed citations
15.
Sharma, Jyotsna, et al.. (2007). Mycorrhizal diversity of an en. Lankesteriana. 7. 215–218. 3 indexed citations
16.
Sharma, R. P., Akhilesh Sharma, & Jyotsna Sharma. (2005). Productivity, nutrient uptake, soil fertility and economics as affected by chemical fertilizers and farmyard manure in broccoli (Brassica oleracea var italica) in an Entisol. The Indian Journal of Agricultural Sciences. 75(9). 576–579. 15 indexed citations
17.
Sharma, Jyotsna, Lawrence W. Zettler, & J. W. Van Sambeek. (2003). A Survey of Mycobionts of Federally Threatened Platanthera praeclara (Orchidaceae). Symbiosis. 34(2). 145–155. 20 indexed citations
18.
Sharma, Jyotsna, et al.. (2001). Immunoprotective Efficacy of a Purified 39 kDa Nymphal Antigen of Hyalomma anatolicum anatolicum. Tropical Animal Health and Production. 33(2). 103–116. 19 indexed citations
19.
Sharma, Jyotsna, et al.. (1994). Use ofN,N′-polymethylenebis(iodoacetamide) derivatives as probes for the detection of conformational differences in tubulin isotypes. Journal of Protein Chemistry. 13(2). 165–176. 22 indexed citations
20.
Sharma, Jyotsna, et al.. (1994). Prevalence and etiology of subclinical mastitis among crossbred cows and buffaloes in Punjab.. Indian Journal of Dairy Science. 47(2). 103–106. 20 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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