Anna Vassall

7.9k total citations · 1 hit paper
189 papers, 4.1k citations indexed

About

Anna Vassall is a scholar working on Infectious Diseases, Economics and Econometrics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Anna Vassall has authored 189 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Infectious Diseases, 85 papers in Economics and Econometrics and 55 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Anna Vassall's work include Tuberculosis Research and Epidemiology (65 papers), Global Maternal and Child Health (53 papers) and Health Systems, Economic Evaluations, Quality of Life (51 papers). Anna Vassall is often cited by papers focused on Tuberculosis Research and Epidemiology (65 papers), Global Maternal and Child Health (53 papers) and Health Systems, Economic Evaluations, Quality of Life (51 papers). Anna Vassall collaborates with scholars based in United Kingdom, South Africa and United States. Anna Vassall's co-authors include Sedona Sweeney, Edina Sinanovic, Gavin Churchyard, Richard G. White, Nicola Foster, Yoko V. Laurence, Gabriela B. Gomez, Ulla Griffiths, Lucy Cunnama and Michelle Remme and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Anna Vassall

179 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The impact of COVID-19 on TB: a review of the data

2021 179 citations Anna Vassall, Richard G. White et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anna Vassall United Kingdom	35	2.6k	1.7k	935	859	850	189	4.1k
Joia S. Mukherjee United States	34	2.3k 0.9×	1.4k 0.8×	384 0.4×	1.1k 1.3×	709 0.8×	119	4.2k
John Walley United Kingdom	33	1.6k 0.6×	1.5k 0.9×	426 0.5×	929 1.1×	622 0.7×	154	3.9k
S. Bertel Squire United Kingdom	39	4.1k 1.6×	3.1k 1.9×	541 0.6×	770 0.9×	658 0.8×	217	6.0k
Lisa R. Hirschhorn United States	40	1.8k 0.7×	1.4k 0.8×	1.0k 1.1×	2.5k 2.9×	2.1k 2.5×	292	6.6k
Andy Gray South Africa	21	1.2k 0.5×	934 0.6×	610 0.7×	714 0.8×	682 0.8×	106	3.3k
Mark J. Siedner United States	43	2.6k 1.0×	1.4k 0.8×	362 0.4×	1.2k 1.3×	605 0.7×	281	5.6k
Paul E. Farmer United States	42	1.9k 0.7×	1.2k 0.7×	444 0.5×	1.4k 1.6×	1.1k 1.3×	98	5.8k
Nicolas Méda Burkina Faso	38	1.7k 0.7×	1.6k 1.0×	221 0.2×	1.2k 1.4×	1.5k 1.7×	209	4.9k
Ernesto Jaramillo Switzerland	28	3.1k 1.2×	2.2k 1.3×	389 0.4×	431 0.5×	338 0.4×	46	4.1k
Elliot Marseille United States	29	1.3k 0.5×	825 0.5×	633 0.7×	685 0.8×	637 0.7×	80	3.1k

Countries citing papers authored by Anna Vassall

Since Specialization

Citations

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

Fields of papers citing papers by Anna Vassall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Vassall

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Vassall. A scholar is included among the top collaborators of Anna Vassall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Vassall. Anna Vassall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Vassall, Anna, et al.. (2025). Estimating the direct medical cost of illness of COVID-19 hospitalisations in Kuwait: efficiency trade-offs from real-world data analysis. Health Economics Review. 15(1). 99–99.

Kisiangani, Isaac, Ângela Jornada Ben, Elke Wynberg, et al.. (2025). Recovery and long-term health outcomes of SARS-CoV-2 infection in a prospective cohort in an urban setting, Kenya. Global Health Action. 18(1). 2500795–2500795.

Sweeney, Sedona, et al.. (2025). Selecting Cost-Effectiveness Methods for Health Benefits Package Design: A Systematic Approach. International Journal of Health Policy and Management. 14. 8562–8562.

Yamanaka, Takuya, Jorge Ferrer, Juan Antonio Solon, et al.. (2024). Health system costs of providing outpatient care for diabetes in people with TB in the Philippines. SHILAP Revista de lepidopterología. 1(3). 124–129.

Sweeney, Sedona, Katherine Fielding, JA Thompson, et al.. (2024). Unit costs and cost-effectiveness of a device to improve TB treatment adherence in China. SHILAP Revista de lepidopterología. 1(7). 299–305. 1 indexed citations

Keogh-Brown, Marcus, Tom Sumner, Sedona Sweeney, Anna Vassall, & Henning Tarp Jensen. (2024). Estimating the health and macroeconomic burdens of tuberculosis in India, 2021–2040: A fully integrated modelling study. PLoS Medicine. 21(12). e1004491–e1004491. 2 indexed citations

Uzochukwu, Benjamin, Chinyere Okeke, Faisal Shuaib, et al.. (2024). A health technology assessment of COVID-19 vaccination for Nigerian decision-makers: Identifying stakeholders and pathways to support evidence uptake. Health Research Policy and Systems. 22(1). 73–73. 1 indexed citations

Diaconu, Karin, Aaron S Karat, Nicky McCreesh, et al.. (2024). Qualitative system dynamics modelling to support the design and implementation of tuberculosis infection prevention and control measures in South African primary healthcare facilities. Health Policy and Planning. 39(10). 1041–1054.

Sweeney, Sedona, et al.. (2024). Uncertainty in tuberculosis clinical decision-making: An umbrella review with systematic methods and thematic analysis. SHILAP Revista de lepidopterología. 4(7). e0003429–e0003429. 1 indexed citations

10.

Divala, Titus, Andrés G. Lescano, Mohammed Majam, et al.. (2023). “We usually see a lot of delay in terms of coming for or seeking care”: an expert consultation on COVID testing and care pathways in seven low- and middle-income countries. BMC Health Services Research. 23(1). 1288–1288. 3 indexed citations

11.

Mbau, Rahab, Anna Vassall, Lucy Gilson, & Edwine Barasa. (2023). Factors Influencing the Institutionalization of Health Technology Assessment: A Scoping Literature Review. Health Systems & Reform. 9(3). 2360315–2360315. 2 indexed citations

12.

Tildesley, Michael J., Anna Vassall, Steven Riley, et al.. (2022). Optimal health and economic impact of non-pharmaceutical intervention measures prior and post vaccination in England: a mathematical modelling study. Royal Society Open Science. 9(8). 211746–211746. 14 indexed citations

13.

Karat, Aaron S, Nicky McCreesh, Kathy Baisley, et al.. (2022). Estimating waiting times, patient flow, and waiting room occupancy density as part of tuberculosis infection prevention and control research in South African primary health care clinics. SHILAP Revista de lepidopterología. 2(7). e0000684–e0000684. 8 indexed citations

14.

Bozzani, Fiammetta, Karin Diaconu, Gabriela B. Gomez, et al.. (2021). Using system dynamics modelling to estimate the costs of relaxing health system constraints: a case study of tuberculosis prevention and control interventions in South Africa. Health Policy and Planning. 37(3). 369–375. 5 indexed citations

15.

Katumba, Kenneth, Yoko V. Laurence, Joshua Ssebunnya, et al.. (2021). Cultural and linguistic adaptation of the multi-dimensional OXCAP-MH for outcome measurement of mental health among people living with HIV/AIDS in Uganda: the Luganda version. Journal of Patient-Reported Outcomes. 5(1). 32–32. 7 indexed citations

16.

Pearson, Carl A. B., Fiammetta Bozzani, Simon R. Procter, et al.. (2021). COVID-19 vaccination in Sindh Province, Pakistan: A modelling study of health impact and cost-effectiveness. PLoS Medicine. 18(10). e1003815–e1003815. 34 indexed citations

17.

Gomez, Gabriela B., Mariana Siapka, Francesca Conradie, et al.. (2021). Cost-effectiveness of bedaquiline, pretomanid and linezolid for treatment of extensively drug-resistant tuberculosis in South Africa, Georgia and the Philippines. BMJ Open. 11(12). e051521–e051521. 18 indexed citations

18.

Hippner, Piotr, Tom Sumner, Rein M G J Houben, et al.. (2019). Application of provincial data in mathematical modelling to inform sub-national tuberculosis program decision-making in South Africa. PLoS ONE. 14(1). e0209320–e0209320. 9 indexed citations

19.

Kufa, Tendesayi, Katherine Fielding, Piotr Hippner, et al.. (2018). An intervention to optimise the delivery of integrated tuberculosis and HIV services at primary care clinics: results of the MERGE cluster randomised trial. Contemporary Clinical Trials. 72. 43–52. 10 indexed citations

20.

Kasaie, Parastu, Hojoon Sohn, Emily A. Kendall, et al.. (2017). Exploring the epidemiological impact of universal access to rapid tuberculosis diagnosis using agent-based simulation. Winter Simulation Conference. 1097–1108. 1 indexed citations

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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