Supriya Sharma

84 total papers · 507 total citations
39 papers, 306 citations indexed

About

Supriya Sharma is a scholar working on Surgery, Oncology and Plant Science. According to data from OpenAlex, Supriya Sharma has authored 39 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 7 papers in Oncology and 7 papers in Plant Science. Recurrent topics in Supriya Sharma's work include Liver Disease and Transplantation (5 papers), Plant Pathogens and Fungal Diseases (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Supriya Sharma is often cited by papers focused on Liver Disease and Transplantation (5 papers), Plant Pathogens and Fungal Diseases (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Supriya Sharma collaborates with scholars based in India, United States and Saudi Arabia. Supriya Sharma's co-authors include Mahaveer Dhobi, Nisha Nair, Jaseela Majeed, Ramesh K. Goyal, Stephen R. Hennigar, Shannon L. Kelleher, Bhoomika M. Patel, Young Ah Seo, David I. Soybel and Vikas Agarwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Science and Pollution Research.

In The Last Decade

Supriya Sharma

28 papers receiving 297 citations

Author Peers

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

Author Last Decade Papers Cites
Supriya Sharma 53 47 43 43 31 39 306
Yanxia Wu 42 0.8× 81 1.7× 42 1.0× 25 0.6× 35 1.1× 27 314
Pooja Shukla 44 0.8× 64 1.4× 36 0.8× 38 0.9× 41 1.3× 29 275
Jing Miao 63 1.2× 114 2.4× 28 0.7× 19 0.4× 21 0.7× 38 305
Qingfeng Luo 44 0.8× 123 2.6× 51 1.2× 47 1.1× 30 1.0× 38 315
Songli Shi 44 0.8× 92 2.0× 86 2.0× 50 1.2× 19 0.6× 32 338
Jung Eun Kwon 48 0.9× 126 2.7× 66 1.5× 41 1.0× 18 0.6× 43 362
Stefano Ceccarelli 24 0.5× 49 1.0× 41 1.0× 22 0.5× 53 1.7× 27 366
Li Ye 47 0.9× 79 1.7× 17 0.4× 23 0.5× 37 1.2× 33 340
Hamid Yaghooti 56 1.1× 72 1.5× 21 0.5× 16 0.4× 22 0.7× 30 338
Aldo da Cunha Medeiros 64 1.2× 48 1.0× 64 1.5× 27 0.6× 16 0.5× 58 319

Countries citing papers authored by Supriya Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Supriya Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Sharma

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