Meely Panda

23 papers receiving 207 citations

Peers

Meely Panda
Comparison fields: 5 of 61
  • Geriatrics and Gerontology 16
  • Public Health, Environmental and Occupational Health 89
  • Health 15
  • General Health Professions 31
  • Emergency Medical Services 8
Replace Prakash Poudel with:
Prakash Poudel Australia
Yasuki Fujinuma Japan
Mawuli Komla Kushitor Ghana
Beatríz González Spain
Heidi Gullett United States
Shannon McKinn Australia
Elizabeth Blake United States
Ginetta Salvalaggio Canada
Janet Stifter United States
Greta Van Der Kelen Belgium
Meely Panda relative to Prakash Poudel Australia Prakash Poudel's profile →
Citations per field
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Prakash Poudel · 1×
Citations per year

Countries citing papers authored by Meely Panda

Since Specialization
Citations

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

Fields of papers citing papers by Meely Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meely Panda, 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 Meely Panda Line = papers co-authored together Meely Panda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 202022
3 202112
4 201712
5 202111
6 201710
7 20179
8 20178
9 20226
10 20206
11 20235
12 20205
13 20204
14 20214
15 20144
16 20193
17 20133
18 20223
19 20133
20 20212

About Meely Panda

Meely Panda is a scholar working on Epidemiology, General Health Professions, Infectious Diseases, Surgery and Pediatrics, Perinatology and Child Health, having authored 32 papers that have together received 219 indexed citations. Recurring topics across this work include Global Maternal and Child Health (3 papers), Chronic Disease Management Strategies (3 papers), Child Nutrition and Water Access (2 papers), Global Health Workforce Issues (2 papers), Pneumothorax, Barotrauma, Emphysema (1 paper), Foreign Body Medical Cases (1 paper), Medical and Biological Sciences (1 paper) and Global Health and Surgery (1 paper). The work is most often cited by research in Geriatrics and Gerontology (16 citations), Public Health, Environmental and Occupational Health (89 citations), Health (15 citations), General Health Professions (31 citations) and Emergency Medical Services (8 citations). Meely Panda has collaborated with scholars based in India, United Kingdom and Japan. Frequent co-authors include Rambha Pathak, Sanghamitra Pati, Rashmi Agarwalla, Sandipana Pati, Farzana Islam, Rajeshwari Sinha, Parul Puri, Mitasha Singh, Swayam Pragyan Parida and Jugal Kishore. Their work appears in journals such as PLoS ONE, Frontiers in Public Health, Indian Journal of Community Medicine, Journal of Education and Health Promotion and Indian Journal of Public Health.

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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