Ting Chow

1.7k citations
59 papers · 1.2k · h-index 20

Impact in

Papers in

Ting Chow

53 papers receiving 1.1k citations

Peers

Ting Chow
Comparison fields: 5 of 95
  • Obstetrics and Gynecology 211
  • Health, Toxicology and Mutagenesis 347
  • Pollution 125
  • Pediatrics, Perinatology and Child Health 162
  • Psychiatry and Mental health 68
Replace Mayra P. Martinez with:
Mayra P. Martinez United States
Marianna Karachaliou Spain
Deanna Caruso United States
Todd M. Everson United States
Shuangqin Yan China
Tong Gong Sweden
Jinzhu Zhao China
Kelly J. Brunst United States
Seiichi Morokuma Japan
Letizia Trevisi United States
Ting Chow relative to Mayra P. Martinez United States Mayra P. Martinez's profile →
Citations per field
00.5×1.5×
Mayra P. Martinez · 1×
Citations per year

Countries citing papers authored by Ting Chow

Since Specialization
Citations

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

Fields of papers citing papers by Ting Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019103
2 202286
3 202077
4 201967
5 201962
6 202457
7 201952
8 201945
9 202244
10 202141
11 201831
12 202031
13 202230
14 202030
15 202329
16 202127
17 202227
18 201927
19 202125
20 201920

About Ting Chow

Ting Chow is a scholar working on Health, Toxicology and Mutagenesis, Obstetrics and Gynecology, Pollution, Psychiatry and Mental health and Cognitive Neuroscience, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (19 papers), Gestational Diabetes Research and Management (10 papers), Energy and Environment Impacts (9 papers), Pregnancy and preeclampsia studies (4 papers), Autism Spectrum Disorder Research (4 papers), Breastfeeding Practices and Influences (4 papers), COVID-19 impact on air quality (3 papers) and Family and Disability Support Research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (211 citations), Health, Toxicology and Mutagenesis (347 citations), Pollution (125 citations), Pediatrics, Perinatology and Child Health (162 citations) and Psychiatry and Mental health (68 citations). Ting Chow has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Anny H. Xiang, Mayra P. Martinez, Fred W. Lurmann, Sandrah Proctor Eckel, Rob McConnell, Kathleen A. Page, Shan Luo, Jane C. Lin, Xinhui Wang and Zhanghua Chen. Their work appears in journals such as Environment International, Diabetes, Diabetes Care, The Journal of Pediatrics and Environmental Science & Technology.

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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