Prachi Sharma

55 total papers · 605 total citations
32 papers, 287 citations indexed

About

Prachi Sharma is a scholar working on Plant Science, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Prachi Sharma has authored 32 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 4 papers in Computer Networks and Communications and 4 papers in Molecular Biology. Recurrent topics in Prachi Sharma's work include Plant Virus Research Studies (11 papers), Plant pathogens and resistance mechanisms (7 papers) and Plant Pathogenic Bacteria Studies (6 papers). Prachi Sharma is often cited by papers focused on Plant Virus Research Studies (11 papers), Plant pathogens and resistance mechanisms (7 papers) and Plant Pathogenic Bacteria Studies (6 papers). Prachi Sharma collaborates with scholars based in India and United States. Prachi Sharma's co-authors include O. P. Sharma, Rakesh Kumar, Rajendra Kumar Dwivedi, Prem N. Sharma, Chandra S. Prabhakar, Pankaj Sood, Sunil Kumar Singh, Agnès L. Chénine, Ruijiang Song and Elizabeth Strobert and has published in prestigious journals such as Journal of Virology, Cognition & Emotion and Plant Disease.

In The Last Decade

Prachi Sharma

29 papers receiving 272 citations

Author Peers

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

Author Last Decade Papers Cites
Prachi Sharma 129 70 46 41 36 32 287
Diego S. Ferrero 59 0.5× 15 0.2× 24 0.5× 35 0.9× 134 3.7× 20 331
Xiaowu Jiang 42 0.3× 11 0.2× 43 0.9× 4 0.1× 34 0.9× 21 310
Irene K. Meki 61 0.5× 74 1.1× 9 0.2× 55 1.3× 30 0.8× 19 169
Fabiane Borelli Grecco 51 0.4× 15 0.2× 21 0.5× 53 1.3× 88 2.4× 45 329
Yumi Yamaguchi 33 0.3× 87 1.2× 20 0.4× 4 0.1× 60 1.7× 29 304
Thierry Grima de Cristo 23 0.2× 38 0.5× 58 1.3× 26 0.6× 39 1.1× 40 300
Ma Luo 38 0.3× 18 0.3× 54 1.2× 15 0.4× 48 1.3× 16 181
Sirin Theerawatanasirikul 36 0.3× 29 0.4× 17 0.4× 14 0.3× 79 2.2× 33 315
Surender Kumar 163 1.3× 23 0.3× 21 0.5× 29 0.7× 50 1.4× 23 268
Fernando de Souza Rodrigues 25 0.2× 34 0.5× 16 0.3× 16 0.4× 50 1.4× 26 303

Countries citing papers authored by Prachi Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Prachi Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prachi Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Prachi Sharma. A scholar is included among the top collaborators of Prachi 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 Prachi Sharma. Prachi 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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