Rashmi Sharma

101 total papers · 657 total citations
53 papers, 353 citations indexed

About

Rashmi Sharma is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Parasitology. According to data from OpenAlex, Rashmi Sharma has authored 53 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 10 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Parasitology. Recurrent topics in Rashmi Sharma's work include Vector-borne infectious diseases (7 papers), Plant Pathogens and Fungal Diseases (7 papers) and Vector-Borne Animal Diseases (7 papers). Rashmi Sharma is often cited by papers focused on Vector-borne infectious diseases (7 papers), Plant Pathogens and Fungal Diseases (7 papers) and Vector-Borne Animal Diseases (7 papers). Rashmi Sharma collaborates with scholars based in India and Japan. Rashmi Sharma's co-authors include Anjali Chauhan, C. K. Shirkot, Vikrant Sudan, Ved Pal Singh, Shailendra Nath Gaur, Anand B. Singh, Rutika Sehgal, R. P. Yadav, Sapna Sethi and Balbir Singh Kaith and has published in prestigious journals such as Journal of Applied Polymer Science, Journal of Natural Products and Molecular and Cellular Biochemistry.

In The Last Decade

Rashmi Sharma

46 papers receiving 331 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rashmi Sharma 143 77 63 49 44 53 353
Azim Paksa 109 0.8× 23 0.3× 28 0.4× 30 0.6× 68 1.5× 35 379
A. A. Seawright 125 0.9× 52 0.7× 21 0.3× 21 0.4× 97 2.2× 35 398
A. Wójcik 43 0.3× 10 0.1× 66 1.0× 20 0.4× 32 0.7× 60 360
K. Gopinath Achary 107 0.7× 17 0.2× 32 0.5× 45 0.9× 58 1.3× 21 332
Ryan N. Contreras 251 1.8× 70 0.9× 47 0.7× 33 0.7× 157 3.6× 62 402
Qi Wang 48 0.3× 22 0.3× 50 0.8× 20 0.4× 126 2.9× 45 366
Muhammad Imran 76 0.5× 17 0.2× 45 0.7× 12 0.2× 76 1.7× 63 363
Carolina Magri Ferraz 78 0.5× 55 0.7× 82 1.3× 8 0.2× 21 0.5× 36 310
Greta Rosas-Saito 161 1.1× 29 0.4× 12 0.2× 36 0.7× 31 0.7× 23 396
Maksym Danchenko 226 1.6× 24 0.3× 21 0.3× 7 0.1× 137 3.1× 41 382

Countries citing papers authored by Rashmi Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Rashmi Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashmi Sharma

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

All Works

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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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