Hunny Sharma

64 total papers · 907 total citations
45 papers, 498 citations indexed

About

Hunny Sharma is a scholar working on Periodontics, Plant Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hunny Sharma has authored 45 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Periodontics, 8 papers in Plant Science and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hunny Sharma's work include Dental Health and Care Utilization (6 papers), Ruminant Nutrition and Digestive Physiology (4 papers) and Oral microbiology and periodontitis research (4 papers). Hunny Sharma is often cited by papers focused on Dental Health and Care Utilization (6 papers), Ruminant Nutrition and Digestive Physiology (4 papers) and Oral microbiology and periodontitis research (4 papers). Hunny Sharma collaborates with scholars based in India, United States and United Kingdom. Hunny Sharma's co-authors include Manisha Ruikar, Veena Mani, Amit Gupta, Pallavi Singh, Rohit Agrawal, Ankita Jain, Chander Datt, Apurv Soni, Srobana Sarkar and Amit Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biological Trace Element Research and Nuclear Medicine Communications.

In The Last Decade

Hunny Sharma

41 papers receiving 477 citations

Hit Papers

How short or long should ... 2022 2026 2023 2024 2022 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Hunny Sharma 76 69 57 47 47 45 498
Sandra McKeown 34 0.4× 56 0.8× 92 1.6× 81 1.7× 92 2.0× 29 532
Rosângela Maria Greco 32 0.4× 31 0.4× 52 0.9× 184 3.9× 54 1.1× 36 537
Maryam Mirzaei 29 0.4× 24 0.3× 37 0.6× 24 0.5× 14 0.3× 53 618
Dharanidhar Baral 107 1.4× 99 1.4× 38 0.7× 141 3.0× 47 1.0× 47 539
Michael G. Kendrach 33 0.4× 37 0.5× 98 1.7× 131 2.8× 10 0.2× 24 595
Rebecca Brown 124 1.6× 82 1.2× 34 0.6× 143 3.0× 45 1.0× 34 618
Saeid Bashirian 27 0.4× 119 1.7× 65 1.1× 51 1.1× 20 0.4× 64 531
Fatemeh Zarei 68 0.9× 68 1.0× 81 1.4× 212 4.5× 19 0.4× 108 526
Peter von Philipsborn 29 0.4× 49 0.7× 287 5.0× 157 3.3× 21 0.4× 47 580
Arminda Lúcia Siqueira 36 0.5× 60 0.9× 82 1.4× 77 1.6× 8 0.2× 28 584

Countries citing papers authored by Hunny Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Hunny Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hunny Sharma

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