Kay Hwang

12 papers receiving 152 citations

Peers

Kay Hwang
Comparison fields: 5 of 48
  • Obstetrics and Gynecology 41
  • Pediatrics, Perinatology and Child Health 69
  • Geriatrics and Gerontology 11
  • Emergency Medicine 18
  • Critical Care and Intensive Care Medicine 8
Replace Eugène Tuyishime with:
Eugène Tuyishime Rwanda
Melanie Lloyd Australia
Andrew Kintu Uganda
Fitsum Kifle Ethiopia
Anura W. G. Ratnasiri United States
Sergio Agudelo‐Pérez Colombia
Albert Manasyan Zambia
John Lowe United Kingdom
Anna B. Hedstrom United States
A. Shashidhar India
Kay Hwang relative to Eugène Tuyishime Rwanda Eugène Tuyishime's profile →
Citations per field
00.5×5.5×
Eugène Tuyishime · 1×
Citations per year

Countries citing papers authored by Kay Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Kay Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201749
2 202128
3 202027
4 201713
5 202311
6 20217
7 20226
8 20234
9 20214
10 20213
11 20231
12 20231
13 20230
14 20230
15 20230

About Kay Hwang

Kay Hwang is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and General Health Professions, having authored 15 papers that have together received 154 indexed citations. Recurring topics across this work include Global Maternal and Child Health (6 papers), Pregnancy and preeclampsia studies (4 papers), Neonatal and Maternal Infections (3 papers), Autopsy Techniques and Outcomes (3 papers), Neonatal and fetal brain pathology (2 papers), Streptococcal Infections and Treatments (2 papers), Neonatal Respiratory Health Research (2 papers) and Child Nutrition and Feeding Issues (1 paper). The work is most often cited by research in Obstetrics and Gynecology (41 citations), Pediatrics, Perinatology and Child Health (69 citations), Geriatrics and Gerontology (11 citations), Emergency Medicine (18 citations) and Critical Care and Intensive Care Medicine (8 citations). Kay Hwang has collaborated with scholars based in United States, India and Pakistan. Frequent co-authors include Timothy F. Platts‐Mills, Sarah Saleem, Mark A. Weaver, Elizabeth M. McClure, Robert L. Goldenberg, Christopher W. Jones, Shivaprasad S. Goudar, Valerie A. Braz, Robert A. Swor and Manjunath S. Somannavar. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, Clinical Infectious Diseases, American Journal of Obstetrics and Gynecology, Journal of the American Geriatrics Society and Prehospital Emergency Care.

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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