Susan van den Hof

6.4k total citations · 1 hit paper
127 papers, 3.9k citations indexed

About

Susan van den Hof is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Susan van den Hof has authored 127 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Infectious Diseases, 75 papers in Epidemiology and 32 papers in Surgery. Recurrent topics in Susan van den Hof's work include Tuberculosis Research and Epidemiology (58 papers), Pneumonia and Respiratory Infections (28 papers) and SARS-CoV-2 and COVID-19 Research (22 papers). Susan van den Hof is often cited by papers focused on Tuberculosis Research and Epidemiology (58 papers), Pneumonia and Respiratory Infections (28 papers) and SARS-CoV-2 and COVID-19 Research (22 papers). Susan van den Hof collaborates with scholars based in Netherlands, United States and China. Susan van den Hof's co-authors include Frank Cobelens, J. Wille, M.A.E. Conyn-van Spaendonck, Guy A. M. Berbers, Jim van Steenbergen, Jacco Wallinga, Tjallie van der Kooi, Hester E. de Melker, Judith Manniën and Madhukar Pai and has published in prestigious journals such as Nature Communications, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Susan van den Hof

121 papers receiving 3.7k citations

Hit Papers

Estimated incubation period for monkeypox cases confirmed... 2022 2026 2023 2024 2022 40 80 120
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.

  1. Estimated incubation period for monkeypox cases confirmed in the Netherlands, May 2022
    2022 142 citations Fuminari Miura, Catharina E van Ewijk et al. Eurosurveillance profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan van den Hof Netherlands 35 2.3k 2.1k 841 406 316 127 3.9k
Hee Jin Cheong South Korea 34 1.6k 0.7× 2.8k 1.3× 299 0.4× 471 1.2× 300 0.9× 295 4.9k
Carlos Franco‐Paredes United States 37 2.0k 0.8× 2.3k 1.1× 530 0.6× 326 0.8× 285 0.9× 236 4.8k
Barbara J. Marston United States 28 2.8k 1.2× 3.1k 1.5× 417 0.5× 145 0.4× 305 1.0× 66 4.8k
Jay K. Varma United States 35 2.6k 1.1× 1.9k 0.9× 758 0.9× 131 0.3× 279 0.9× 131 4.7k
Evan J. Anderson United States 38 2.1k 0.9× 2.5k 1.2× 494 0.6× 323 0.8× 358 1.1× 194 4.7k
Joan A. Caylà Spain 38 3.6k 1.6× 3.2k 1.5× 1.1k 1.4× 265 0.7× 158 0.5× 321 5.5k
Nam Joong Kim South Korea 43 4.1k 1.8× 1.8k 0.9× 704 0.8× 79 0.2× 504 1.6× 264 6.4k
Mary E. Chamberland United States 32 2.7k 1.2× 1.4k 0.6× 290 0.3× 819 2.0× 229 0.7× 64 5.0k
Thomas R. Talbot United States 37 884 0.4× 1.9k 0.9× 476 0.6× 429 1.1× 208 0.7× 122 4.1k
Joanne M. Langley Canada 48 2.5k 1.1× 4.6k 2.2× 642 0.8× 881 2.2× 371 1.2× 237 7.9k

Countries citing papers authored by Susan van den Hof

Since Specialization
Citations

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

Fields of papers citing papers by Susan van den Hof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan van den Hof. 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 Susan van den Hof. The network helps show where Susan van den Hof may publish in the future.

Co-authorship network of co-authors of Susan van den Hof

This figure shows the co-authorship network connecting the top 25 collaborators of Susan van den Hof. A scholar is included among the top collaborators of Susan van den Hof 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 Susan van den Hof. Susan van den Hof is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kooijman, Marjolein N., Hester E. de Melker, Susan Hahné, et al.. (2024). Cohort profile: an observational population-based cohort study on COVID-19 vaccine effectiveness in the Netherlands – the VAccine Study COVID-19 (VASCO). BMJ Open. 14(10). e085388–e085388. 5 indexed citations
2.
Melker, Hester E. de, Eric R. A. Vos, Janneke van de Wijgert, et al.. (2024). Health-related quality of life during the COVID-19 pandemic: The impact of restrictive measures using data from two Dutch population-based cohort studies. PLoS ONE. 19(3). e0300324–e0300324.
3.
Boer, Pieter T. de, Jan van de Kassteele, Eric R. A. Vos, et al.. (2023). Age‐specific severity of severe acute respiratory syndrome coronavirus 2 in February 2020 to June 2021 in the Netherlands. Influenza and Other Respiratory Viruses. 17(8). e13174–e13174. 7 indexed citations
4.
Andeweg, Stijn P., Brechje de Gier, Harry Vennema, et al.. (2023). Higher risk of SARS-CoV-2 Omicron BA.4/5 infection than of BA.2 infection after previous BA.1 infection, the Netherlands, 2 May to 24 July 2022. Eurosurveillance. 28(7). 6 indexed citations
5.
Gier, Brechje de, Gerco den Hartog, Cornelis H. van Werkhoven, et al.. (2023). Effects of COVID-19 vaccination and previous infection on Omicron SARS-CoV-2 infection and relation with serology. Nature Communications. 14(1). 4793–4793. 19 indexed citations
6.
Bosdriesz, Jizzo R., Roderick P Venekamp, Ewoud Schuit, et al.. (2023). The epidemiological impact of digital and manual contact tracing on the SARS-CoV-2 epidemic in the Netherlands: Empirical evidence. PLOS Digital Health. 2(12). e0000396–e0000396. 2 indexed citations
7.
Miura, Fuminari, Catharina E van Ewijk, Jantien A. Backer, et al.. (2022). Estimated incubation period for monkeypox cases confirmed in the Netherlands, May 2022. Eurosurveillance. 27(24). 142 indexed citations breakdown →
8.
Venekamp, Roderick P, Ewoud Schuit, Lotty Hooft, et al.. (2022). Diagnostic accuracy of SARS-CoV-2 rapid antigen self-tests in asymptomatic individuals in the omicron period: a cross-sectional study. Clinical Microbiology and Infection. 29(3). 391.e1–391.e7. 11 indexed citations
9.
Schuit, Ewoud, Roderick P Venekamp, Irene Veldhuijzen, et al.. (2022). Head-to-head comparison of the accuracy of saliva and nasal rapid antigen SARS-CoV-2 self-testing: cross-sectional study. BMC Medicine. 20(1). 406–406. 14 indexed citations
10.
Schuit, Ewoud, Roderick P Venekamp, Lotty Hooft, et al.. (2022). Diagnostic accuracy of covid-19 rapid antigen tests with unsupervised self-sampling in people with symptoms in the omicron period: cross sectional study. BMJ. 378. e071215–e071215. 26 indexed citations
11.
Venekamp, Roderick P, Irene Veldhuijzen, Karel G.M. Moons, et al.. (2022). Detection of SARS-CoV-2 infection in the general population by three prevailing rapid antigen tests: cross-sectional diagnostic accuracy study. BMC Medicine. 20(1). 97–97. 9 indexed citations
12.
Boven, Michiel van, Adam Meijer, Nynke Y. Rots, et al.. (2021). High Infection Secondary Attack Rates of Severe Acute Respiratory Syndrome Coronavirus 2 in Dutch Households Revealed by Dense Sampling. Clinical Infectious Diseases. 74(1). 52–58. 36 indexed citations
13.
Schuit, Ewoud, Irene Veldhuijzen, Roderick P Venekamp, et al.. (2021). Diagnostic accuracy of rapid antigen tests in asymptomatic and presymptomatic close contacts of individuals with confirmed SARS-CoV-2 infection: cross sectional study. BMJ. 374. n1676–n1676. 55 indexed citations
14.
Backer, Jantien A., Liesbeth Mollema, Eric R. A. Vos, et al.. (2021). Impact of physical distancing measures against COVID-19 on contacts and mixing patterns: repeated cross-sectional surveys, the Netherlands, 2016–17, April 2020 and June 2020. Eurosurveillance. 26(8). 56 indexed citations
15.
Churchyard, Gavin, Vicky Cárdenas, Violet Chihota, et al.. (2021). Annual Tuberculosis Preventive Therapy for Persons With HIV Infection. Annals of Internal Medicine. 174(10). 1367–1376. 14 indexed citations
16.
Akkerman, Onno W., Connie Erkens, Susan van den Hof, et al.. (2020). Towards elimination of childhood and adolescent tuberculosis in the Netherlands: an epidemiological time-series analysis of national surveillance data. European Respiratory Journal. 56(4). 2001086–2001086. 4 indexed citations
17.
Kampen, Sanne van, et al.. (2015). Effect of Introducing Xpert MTB/RIF to Test and Treat Individuals at Multidrug-Risk of Multidrug-Resistant Tuberculosis in Kazakhstan: A Prospective Cohort Study (vol 10, e0132514, 2015). PLoS ONE. 10(8). 1 indexed citations
18.
Squire, S. Bertel, Andrew Ramsay, Susan van den Hof, et al.. (2011). Making innovations accessible to the poor through implementation research [State of the art series. Operational research. Number 7 in the series]. The International Journal of Tuberculosis and Lung Disease. 15(7). 862–870. 22 indexed citations
19.
Zwerling, Alice, Susan van den Hof, Jerod Scholten, et al.. (2011). Interferon-gamma release assays for tuberculosis screening of healthcare workers: a systematic review. Thorax. 67(1). 62–70. 193 indexed citations
20.
Yao, Song, Wenhui Huang, Susan van den Hof, et al.. (2011). Treatment adherence among sputum smear-positive pulmonary tuberculosis patients in mountainous areas in China. BMC Health Services Research. 11(1). 341–341. 22 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hee Jin Cheong Breakdown of academic impact, for papers by Carlos Franco‐Paredes Breakdown of academic impact, for papers by Barbara J. Marston Breakdown of academic impact, for papers by Jay K. Varma Breakdown of academic impact, for papers by Evan J. Anderson Breakdown of academic impact, for papers by Joan A. Caylà Breakdown of academic impact, for papers by Nam Joong Kim Breakdown of academic impact, for papers by Mary E. Chamberland Breakdown of academic impact, for papers by Thomas R. Talbot Breakdown of academic impact, for papers by Joanne M. Langley
Rankless by CCL
2026