Niramol Dhepyasuwan

409 citations
8 papers · 307 · h-index 7

Impact in

Papers in

Niramol Dhepyasuwan

8 papers receiving 293 citations

Peers

Niramol Dhepyasuwan
Comparison fields: 5 of 67
  • Clinical Psychology 202
  • Pediatrics, Perinatology and Child Health 141
  • Health 40
  • General Health Professions 98
  • General Dentistry 6
Replace Irene Cheah with:
Irene Cheah Malaysia
Stephanie Bradley United States
M. J. Affourtit Netherlands
Helen Sjöblom Sweden
Safyer McKenzie‐Sampson United States
Silke Brenne Germany
María del Mar Jiménez‐Lasserrotte Spain
Jette Aaroe Clausen Denmark
Eva Robertson Sweden
Mohammed A AlAteeq Saudi Arabia
Niramol Dhepyasuwan relative to Irene Cheah Malaysia Irene Cheah's profile →
Citations per field
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Irene Cheah · 1×
Citations per year

Countries citing papers authored by Niramol Dhepyasuwan

Since Specialization
Citations

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

Fields of papers citing papers by Niramol Dhepyasuwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2008207
2 201722
3 201421
4 201318
5 200915
6 20129
7 20169
8 20156

About Niramol Dhepyasuwan

Niramol Dhepyasuwan is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions, Clinical Psychology, Sociology and Political Science and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 307 indexed citations. Recurring topics across this work include Child and Adolescent Health (2 papers), Health Policy Implementation Science (1 paper), Pediatric health and respiratory diseases (1 paper), Methemoglobinemia and Tumor Lysis Syndrome (1 paper), Delphi Technique in Research (1 paper), Homicide, Infanticide, and Child Abuse (1 paper), Neonatal Health and Biochemistry (1 paper) and Evaluation and Performance Assessment (1 paper). The work is most often cited by research in Clinical Psychology (202 citations), Pediatrics, Perinatology and Child Health (141 citations), Health (40 citations), General Health Professions (98 citations) and General Dentistry (6 citations). Niramol Dhepyasuwan has collaborated with scholars based in United States. Frequent co-authors include Eric J. Slora, Robert Sege, Richard C. Wasserman, Donna Harris, Lori Lyn Price, John L. Griffith, Emalee G. Flaherty, Dianna E. Abney, Mary Lu Angelilli and D. P. Norton. Their work appears in journals such as Academic Pediatrics, PEDIATRICS, Hospital Pediatrics and Archives of Pediatrics and Adolescent Medicine.

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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