Gemma Williams

30 papers receiving 576 citations

Peers

Gemma Williams
Comparison fields: 5 of 104
  • Health 106
  • Emergency Medical Services 79
  • Modeling and Simulation 45
  • General Health Professions 246
  • Finance 74
Replace Erin Webb with:
Erin Webb Germany
Raj Panjabi United States
Davison Munodawafa United States
Shunsuke Mabuchi United States
Mathias Bonk Germany
Christine McNab United States
Shuli Brammli‐Greenberg Israel
Sara L. Nam United Kingdom
Ijeoma Edoka South Africa
Rose Macauley United States
Gemma Williams relative to Erin Webb Germany Erin Webb's profile →
Citations per field
00.5×
Erin Webb · 1×
Citations per year

Countries citing papers authored by Gemma Williams

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202183
2 202181
3 201459
4 201449
5 202147
6 201543
7 201541
8 202141
9 202023
10 201717
11
AIDS Orphans: A Community Perspective from Tanzania
199113
12
Sustainable Health Financing with an Ageing Population: Will population ageing lead to uncontrolled health expenditure growth?
201913
13 201612
14 201712
15 202410
16
What strategies are countries using to expand health workforce surge capacity during the COVID-19 pandemic? (Special Issue: COVID-19 health system response.)
20208
17 20227
18
Keeping what works: remote consultations during the COVID-19 pandemic. (Special Issue: COVID-19 health system response.)
20204
19 20224
20
Sustainable Health Financing with an Ageing Population
20194

About Gemma Williams

Gemma Williams is a scholar working on General Health Professions, Health, Oncology, Clinical Psychology and Finance, having authored 34 papers that have together received 589 indexed citations. Recurring topics across this work include Global Health Care Issues (14 papers), Health disparities and outcomes (8 papers), COVID-19 and healthcare impacts (7 papers), Employment and Welfare Studies (6 papers), Healthcare Systems and Reforms (4 papers), Global Health Workforce Issues (3 papers), Primary Care and Health Outcomes (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Health (106 citations), Emergency Medical Services (79 citations), Modeling and Simulation (45 citations), General Health Professions (246 citations) and Finance (74 citations). Gemma Williams has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Erin Webb, Philipa Mladovsky, Juliane Winkelmann, Димитра Пантели, Cristina Hernández‐Quevedo, Claudia B. Maier, Divya Parmar, Martin McKee, Daniel Arhinful and Teymur Noori. Their work appears in journals such as European Journal of Public Health, Health Policy, The International Journal of Health Planning and Management, BMC Health Services Research and Social Science & 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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