Juhi Sharma

491 citations
38 papers · 248 indexed · h-index 9
Topics
COVID-19 Clinical Research Studies (3 papers)Tuberculosis Research and Epidemiology (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)

In The Last Decade

Juhi Sharma

33 papers receiving 235 citations

Peers

Juhi Sharma
Comparison fields: 5 of 91
  • Molecular Biology 53
  • Molecular Medicine 41
  • Infectious Diseases 37
  • Clinical Psychology 30
  • Epidemiology 26
Replace Rajesh Shah with:
Rajesh Shah India
Alex Yat-Man Ho Hong Kong
Kavita Kothari Switzerland
Marie-Thérèse Jimeno France
Maria Helena Simões Villas Bôas Brazil
Bantayehu Addis Tegegne Ethiopia
Eun Young Nam South Korea
Verónica Gomez Portugal
Melese Getachew Ethiopia
Safaa A. Turkistani Saudi Arabia
Juhi Sharma relative to Rajesh Shah India Rajesh Shah's profile →
Citations per field
00.5×3.8×
Rajesh Shah · 1×
Citations per year

Countries citing papers authored by Juhi Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Juhi Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juhi Sharma

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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16 43
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A survey of Patients and staff satisfaction with a Rapid Response Psychiatric Liaison Service in an Acute Hospital: Are Elderly Patients Easier to please?
2
19 5
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Detection of ill-effects of urea adulterated milk in Varanasi.
3

About Juhi Sharma

Juhi Sharma is a scholar working on Business and International Management, Modeling and Simulation and Infectious Diseases, having authored 38 papers that have together received 248 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Tuberculosis Research and Epidemiology (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Molecular Medicine (41 citations), Applied Microbiology and Biotechnology (9 citations) and Research and Theory (2 citations). Juhi Sharma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Divakar Sharma, Amit Singh, Ajay Kumar Gautam, Khem Chand Saini, Sunita Kumari, Sandeep Sharma, Waquas Waheed, Deepa Bisht, Tanya Sharma and Anjana Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and International Journal of Biological Macromolecules.

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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