Hilda Tsang

4.0k citations
36 papers · 1.3k indexed · h-index 19

Impact in

Papers in

Hilda Tsang

33 papers receiving 1.3k citations

Peers

Hilda Tsang
Comparison fields: 5 of 137
  • Health, Toxicology and Mutagenesis 723
  • Environmental Engineering 203
  • Pollution 144
  • Speech and Hearing 62
  • Cancer Research 120
Replace Pablo Fernández‐Navarro with:
Pablo Fernández‐Navarro Spain
Rachel C. Nethery United States
Paolo Grillo Italy
Diddier Prada Mexico
France Labrèche Canada
Jaime Madrigano United States
Cavin Ward‐Caviness United States
Andrea Ranzi Italy
Irina Mordukhovich United States
Juan Yang United States
Hilda Tsang relative to Pablo Fernández‐Navarro Spain Pablo Fernández‐Navarro's profile →
Citations per field
00.5×1.5×1.9×
Pablo Fernández‐Navarro · 1×
Citations per year

Countries citing papers authored by Hilda Tsang

Since Specialization
Citations

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

Fields of papers citing papers by Hilda Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20235
4 20234
5 20211
6 2020117
7 201833
8 201881
9 201754
10 2016160
11 201621
12 201632
13 2015164
14 201548
15 201321
16 201396
17 201324
18 201315
19 2012134
20 201137

About Hilda Tsang

Hilda Tsang is a scholar working on Health, Toxicology and Mutagenesis, Leadership and Management, General Dentistry, Computer Science Applications and Conservation, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (14 papers), Climate Change and Health Impacts (12 papers), Global Health Care Issues (6 papers), Higher Education Research Studies (6 papers), Higher Education Practises and Engagement (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Online Learning and Analytics (2 papers) and Medical Education and Admissions (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (723 citations), Environmental Engineering (203 citations), Pollution (144 citations), Speech and Hearing (62 citations) and Cancer Research (120 citations). Hilda Tsang has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Chit-Ming Wong, TQ Thach, Shengzhi Sun, Hak-Kan Lai, Kin Cheung, Hong Qiu, Linwei Tian, Chit Ming Wong, TH Lam and G. Neil Thomas. Their work appears in journals such as Reproductive Toxicology, Sustainability, International Journal of Environmental Research and Public Health, The Internet and Higher Education and Frontiers in Psychology.

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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