Poonam Sharma

23 papers receiving 339 citations

Peers

Poonam Sharma
Comparison fields: 5 of 87
  • Infectious Diseases 70
  • Research and Theory 2
  • Clinical Psychology 50
  • Complementary and alternative medicine 18
  • Medical Laboratory Technology 3
Replace Navid Mohammadi with:
Navid Mohammadi Iran
Ali Hasanpour Dehkordi Iran
Peter Le Feuvre United Kingdom
Lisa van der Lee Australia
Luis Alejandro Sánchez‐Hurtado Mexico
Asiye Gül Türkiye
Richard Severin United States
Nerissa M. Collins United States
Ming-Chu Chiang Taiwan
Luyu Xie United States
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Citations per field
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Citations per year

Countries citing papers authored by Poonam Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Poonam Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Poonam Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Poonam Sharma Line = papers co-authored together Poonam Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Survey of knowledge, attitudes and practices for tuberculosis among general practitioners in Delhi, India.
199885
2
The Cochrane collaboration's tool for assessing risk of bias
201374
3 201644
4 201540
5 201131
6
Evidence Map of Yoga for High-Impact Conditions Affecting Veterans
201427
7 201221
8 20177
9 20167
10 20177
11 20174
12 20184
13 20193
14 20192
15 20252
16 20192
17
Comparison of conventional Ziehl Neelsen staining with LED Fluorescent staining for pulmonary tuberculosis cases
20161
18 20161
19 20221
20 20201

About Poonam Sharma

Poonam Sharma is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Infectious Diseases, Clinical Psychology and Epidemiology, having authored 28 papers that have together received 368 indexed citations. Recurring topics across this work include Hospital Admissions and Outcomes (3 papers), Mindfulness and Compassion Interventions (3 papers), Innovations in Medical Education (3 papers), Diverse Scientific Research Studies (2 papers), Tuberculosis Research and Epidemiology (2 papers), Diabetes Management and Research (1 paper), Patient Satisfaction in Healthcare (1 paper) and Menstrual Health and Disorders (1 paper). The work is most often cited by research in Infectious Diseases (70 citations), Research and Theory (2 citations), Clinical Psychology (50 citations), Complementary and alternative medicine (18 citations) and Medical Laboratory Technology (3 citations). Poonam Sharma has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Neeta Singla, Remy R Coeytaux, John W Williams, Avishek Nagi, Jennifer R McDuffie, Adam P. Goode, Wei Duan‐Porter, C Mulatero, Rich D. Johnston and G Mowatt. Their work appears in journals such as The Journal of Physician Assistant Education, Skin Appendage Disorders, Lara D. Veeken, Journal of Oncology Practice and Clinical Medicine & Research.

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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