Dev Ram Sunuwar

28 papers receiving 671 citations

Peers

Dev Ram Sunuwar
Comparison fields: 5 of 103
  • Nutrition and Dietetics 250
  • Hematology 147
  • Modeling and Simulation 53
  • Applied Microbiology and Biotechnology 18
  • Obstetrics and Gynecology 63
Replace Pierre Akilimali with:
Pierre Akilimali Democratic Republic of the Congo
Sadia Chowdhury Bangladesh
Suresh Kumar Kapoor India
Inés González-Casanova United States
Zaid Bhatti Pakistan
Adugnaw Zeleke Alem Ethiopia
Emily R. Smith United States
Yadlapalli S. Kusuma India
Akash Porwal India
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Citations per field
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Citations per year

Countries citing papers authored by Dev Ram Sunuwar

Since Specialization
Citations

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

Fields of papers citing papers by Dev Ram Sunuwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dev Ram Sunuwar. 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 Dev Ram Sunuwar. The network helps show where Dev Ram Sunuwar may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202193
2 202092
3 201964
4 202157
5 202050
6 202150
7 202042
8 202036
9 202131
10 202122
11 202119
12 202318
13 202317
14 201915
15 202115
16 202411
17 202210
18 20237
19 20226
20 20206

About Dev Ram Sunuwar

Dev Ram Sunuwar is a scholar working on Nutrition and Dietetics, Public Health, Environmental and Occupational Health, General Health Professions, Pediatrics, Perinatology and Child Health and Hematology, having authored 29 papers that have together received 690 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (11 papers), Food Security and Health in Diverse Populations (6 papers), Iron Metabolism and Disorders (5 papers), Obesity, Physical Activity, Diet (4 papers), Global Maternal and Child Health (4 papers), COVID-19 Pandemic Impacts (3 papers), COVID-19 and Mental Health (3 papers) and Child Nutrition and Feeding Issues (2 papers). The work is most often cited by research in Nutrition and Dietetics (250 citations), Hematology (147 citations), Modeling and Simulation (53 citations), Applied Microbiology and Biotechnology (18 citations) and Obstetrics and Gynecology (63 citations). Dev Ram Sunuwar has collaborated with scholars based in Nepal, United Kingdom and Thailand. Frequent co-authors include Devendra Raj Singh, Pranil Man Singh Pradhan, Bipin Adhikari, Rajeeb Kumar Sah, Sunil Kumar Shah, Kshitij Karki, Khem Bahadur Karki, Kalpana Tiwari, Renu Yadav and Swetha Manohar. Their work appears in journals such as PLoS ONE, BMC Public Health, BMC Musculoskeletal Disorders, Scientific Reports and BMJ Open.

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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