Grace J Chan

4.2k citations
53 papers · 1.5k · 1 hit paper · h-index 17

Impact in

Papers in

Grace J Chan

45 papers receiving 1.5k citations

Grace J Chan's Hit Papers

Kangaroo Mother Care and Neonatal Outcomes: A Meta-analysis 2015 · 425 citations
4250+3+7Years since publication100200300400

Peers

Grace J Chan
Comparison fields: 5 of 93
  • Pediatrics, Perinatology and Child Health 849
  • Pharmacy 65
  • Obstetrics and Gynecology 68
  • Public Health, Environmental and Occupational Health 240
  • Epidemiology 274
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Bogale Worku Ethiopia
Karen New Australia
Richard E. McClead United States
Arild Rønnestad Norway
Sam Oddie United Kingdom
Ajay Phatak India
Riccardo Davanzo Italy
Carmen Rosa Pallás‐Alonso Spain
Elisabeth Kylberg Sweden
Leslie A. Parker United States
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Countries citing papers authored by Grace J Chan

Since Specialization
Citations

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

Fields of papers citing papers by Grace J Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace J Chan. 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 Grace J Chan. The network helps show where Grace J Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Kangaroo Mother Care and Neonatal Outcomes: A Meta-analysis
Hit paper breakdown →
2015425
2 2013170
3 2015164
4 2016126
5 2017102
6 201797
7 201656
8 201552
9 202130
10 201828
11 201627
12 201326
13 201524
14 200723
15 201420
16 202219
17 201316
18 201716
19 201015
20 202112

About Grace J Chan

Grace J Chan is a scholar working on Pediatrics, Perinatology and Child Health, Nutrition and Dietetics, Public Health, Environmental and Occupational Health, Epidemiology and Finance, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Global Maternal and Child Health (15 papers), Child Nutrition and Water Access (10 papers), Neonatal and Maternal Infections (7 papers), Infant Development and Preterm Care (6 papers), Preterm Birth and Chorioamnionitis (3 papers), Healthcare Systems and Reforms (3 papers), COVID-19 Impact on Reproduction (2 papers) and Global Public Health Policies and Epidemiology (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (849 citations), Pharmacy (65 citations), Obstetrics and Gynecology (68 citations), Public Health, Environmental and Occupational Health (240 citations) and Epidemiology (274 citations). Grace J Chan has collaborated with scholars based in United States, Ethiopia and Bangladesh. Frequent co-authors include Stephen Wall, Ellen O. Boundy, Sandhya Kajeepeta, Wafaie Fawzi, Robert E. Black, Abdullah H Baqui, Stacey A. Missmer, Donna Spiegelman, Ellice Lieberman and Bina Valsangkar. Their work appears in journals such as Journal of Global Health, BMJ Open, PLoS ONE, JAMA Network Open and BMJ Global 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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