Susheel Kumar Sharma

169 total papers · 1.5k total citations
108 papers, 889 citations indexed

About

Susheel Kumar Sharma is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Susheel Kumar Sharma has authored 108 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Plant Science, 21 papers in Endocrinology and 20 papers in Molecular Biology. Recurrent topics in Susheel Kumar Sharma's work include Plant Virus Research Studies (56 papers), Plant Pathogenic Bacteria Studies (33 papers) and Plant and Fungal Interactions Research (21 papers). Susheel Kumar Sharma is often cited by papers focused on Plant Virus Research Studies (56 papers), Plant Pathogenic Bacteria Studies (33 papers) and Plant and Fungal Interactions Research (21 papers). Susheel Kumar Sharma collaborates with scholars based in India, United States and South Korea. Susheel Kumar Sharma's co-authors include V. K. Baranwal, Subhra Saikat Roy, M. A. Ansari, Narendra Prakash, Kajal Kumar Biswas, Archana Singh, Nishant Srivastava, Avijit Tarafdar, Veda Krishnan and K. Tamreihao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Susheel Kumar Sharma

98 papers receiving 866 citations

Author Peers

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

Author Last Decade Papers Cites
Susheel Kumar Sharma 636 222 145 111 105 108 889
Aftab Bashir 757 1.2× 310 1.4× 181 1.2× 118 1.1× 181 1.7× 46 886
Haiying Xiang 572 0.9× 250 1.1× 161 1.1× 83 0.7× 156 1.5× 61 751
Eui‐Joon Kil 589 0.9× 213 1.0× 222 1.5× 39 0.4× 165 1.6× 81 960
Jitesh Kumar 440 0.7× 442 2.0× 138 1.0× 58 0.5× 59 0.6× 49 791
Jagger Harvey 902 1.4× 168 0.8× 118 0.8× 77 0.7× 86 0.8× 50 1.0k
Elijah Ateka 877 1.4× 139 0.6× 199 1.4× 24 0.2× 72 0.7× 82 1.0k
Subhra Saikat Roy 423 0.7× 286 1.3× 57 0.4× 97 0.9× 35 0.3× 57 885
Márcia Soares Vidal 612 1.0× 276 1.2× 83 0.6× 41 0.4× 39 0.4× 46 800
Phillip A. Wadl 725 1.1× 346 1.6× 118 0.8× 21 0.2× 81 0.8× 96 1.0k
Hamid Reza Zamanizadeh 550 0.9× 219 1.0× 73 0.5× 24 0.2× 38 0.4× 67 862

Countries citing papers authored by Susheel Kumar Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Susheel Kumar Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susheel Kumar Sharma

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