Ailko Bossink

833 total citations
19 papers, 624 citations indexed

About

Ailko Bossink is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Ailko Bossink has authored 19 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 12 papers in Infectious Diseases and 9 papers in Surgery. Recurrent topics in Ailko Bossink's work include Tuberculosis Research and Epidemiology (8 papers), Sepsis Diagnosis and Treatment (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Ailko Bossink is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Sepsis Diagnosis and Treatment (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Ailko Bossink collaborates with scholars based in Netherlands, Germany and Canada. Ailko Bossink's co-authors include A. B. Johan Groeneveld, L. G. Thijs, Steven Thijsen, C. Erik Hack, John J. M. Bouwman, Sandra M. Arend, Willeke P. J. Franken, Ben F. P. J. Koster, Eliane M.S. Leyten and Frank Cobelens and has published in prestigious journals such as Gastroenterology, American Journal of Respiratory and Critical Care Medicine and Clinical Infectious Diseases.

In The Last Decade

Ailko Bossink

18 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ailko Bossink Netherlands 10 444 275 233 115 90 19 624
José López Menéndez Spain 17 484 1.1× 182 0.7× 259 1.1× 74 0.6× 72 0.8× 92 842
Takayuki Hoshina Japan 13 166 0.4× 91 0.3× 128 0.5× 131 1.1× 68 0.8× 82 583
Joannie Ruel Canada 6 601 1.4× 498 1.8× 276 1.2× 51 0.4× 35 0.4× 7 874
Marilyn M. Wagener United States 9 336 0.8× 146 0.5× 128 0.5× 25 0.2× 22 0.2× 9 545
Jan Cato Holter Norway 13 241 0.5× 160 0.6× 62 0.3× 150 1.3× 16 0.2× 30 713
Hiroshi Moro Japan 10 229 0.5× 148 0.5× 91 0.4× 72 0.6× 18 0.2× 38 412
Fiona Donald United Kingdom 10 238 0.5× 152 0.6× 124 0.5× 25 0.2× 145 1.6× 16 492
Antigone Kotsaki Greece 14 211 0.5× 142 0.5× 67 0.3× 393 3.4× 42 0.5× 27 637
Ilse J.E. Kouijzer Netherlands 13 269 0.6× 174 0.6× 397 1.7× 15 0.1× 123 1.4× 35 666
Eduardo Villacorta Spain 12 469 1.1× 181 0.7× 193 0.8× 14 0.1× 173 1.9× 37 754

Countries citing papers authored by Ailko Bossink

Since Specialization
Citations

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

Fields of papers citing papers by Ailko Bossink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ailko Bossink

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

All Works

19 of 19 papers shown
1.
Smit, Wouter L., Sophie van Tol, Lenneke Haas, et al.. (2023). Differential abundance of IgG antibodies against the spike protein of SARS-CoV-2 and seasonal coronaviruses in patients with fatal COVID-19. Virology Journal. 20(1). 85–85. 3 indexed citations
2.
Smit, Wouter L., Ailko Bossink, Gijs Limonard, et al.. (2023). Impaired SARS-CoV-2 specific T-cell response in patients with severe COVID-19. Frontiers in Immunology. 14. 1046639–1046639. 6 indexed citations
3.
Smit, Wouter L., Sophie van Tol, Gijs Limonard, et al.. (2022). Heterologous Immune Responses of Serum IgG and Secretory IgA Against the Spike Protein of Endemic Coronaviruses During Severe COVID-19. Frontiers in Immunology. 13. 839367–839367. 8 indexed citations
4.
Smit, Wouter L., Steven Thijsen, Sophie van Tol, et al.. (2022). Differential vaccine-induced kinetics of humoral and cellular immune responses in SARS-CoV-2 naive and convalescent health care workers. Pathogens and Disease. 80(1). 4 indexed citations
5.
Bossink, Ailko, Willeke P. J. Franken, Steven Thijsen, et al.. (2018). Borderline QuantiFERON results and the distinction between specific responses and test variability. Tuberculosis. 111. 102–108. 11 indexed citations
6.
Hofland, Regina W., et al.. (2014). Sarcoidosis and Purified Protein Derivative reactivity.. PubMed. 31(2). 142–8. 4 indexed citations
7.
Hofland, Regina W., Steven Thijsen, M.A.M.T. Verhagen, Y Schenk, & Ailko Bossink. (2013). Tuberculosis during TNF-α inhibitor therapy, despite screening: Table 1. Thorax. 68(11). 1079–1080. 9 indexed citations
8.
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10.
Thijsen, Steven & Ailko Bossink. (2009). Interferon gamma release assays for diagnosing active and latent tuberculosis. Expert Opinion on Medical Diagnostics. 3(3). 303–312. 4 indexed citations
11.
Franken, Willeke P. J., Ben F. P. J. Koster, Ailko Bossink, et al.. (2007). Follow-Up Study of Tuberculosis-Exposed Supermarket Customers with Negative Tuberculin Skin Test Results in Association with Positive Gamma Interferon Release Assay Results. Clinical and Vaccine Immunology. 14(9). 1239–1241. 20 indexed citations
12.
Arend, Sandra M., Steven Thijsen, Eliane M.S. Leyten, et al.. (2006). Comparison of Two Interferon-γ Assays and Tuberculin Skin Test for Tracing Tuberculosis Contacts. American Journal of Respiratory and Critical Care Medicine. 175(6). 618–627. 207 indexed citations
13.
Bossink, Ailko, et al.. (2001). Prediction of shock in febrile medical patients with a clinical infection. Critical Care Medicine. 29(1). 25–31. 23 indexed citations
14.
Groeneveld, A. B. Johan, Ailko Bossink, Gerard J. van Mierlo, & C. Erik Hack. (2001). Circulating Inflammatory Mediators in Patients with Fever: Predicting Bloodstream Infection. Clinical and Diagnostic Laboratory Immunology. 8(6). 1189–1195. 37 indexed citations
15.
Raaphorst, Joost, Ailko Bossink, C. Erik Hack, & A. B. Johan Groeneveld. (2001). Early Inhibition of Activated Fibrinolysis Predicts Microbial Infection, Shock and Mortality in Febrile Medical Patients. Thrombosis and Haemostasis. 86(8). 543–549. 52 indexed citations
16.
Bossink, Ailko, A. B. Johan Groeneveld, C. Erik Hack, & L. G. Thijs. (1999). The Clinical Host Response to Microbial Infection in Medical Patients With Fever. CHEST Journal. 116(2). 380–390. 31 indexed citations
17.
Bossink, Ailko, A. B. Johan Groeneveld, & L. G. Thijs. (1999). Prediction of Microbial Infection and Mortality in Medical Patients with Fever: Plasma Procalcitonin, Neutrophilic Elastase‐α‐Antitrypsin, and Lactoferrin Compared with Clinical Variables. Clinical Infectious Diseases. 29(2). 398–407. 85 indexed citations
18.
Wolbink, Gertjan, et al.. (1998). Complement Activation in Patients with Sepsis Is in Part Mediated by C‐Reactive Protein. The Journal of Infectious Diseases. 177(1). 81–87. 61 indexed citations
19.
Bossink, Ailko, A. B. Johan Groeneveld, C. Erik Hack, & L. G. Thijs. (1998). Prediction of Mortality in Febrile Medical Patients. CHEST Journal. 113(6). 1533–1541. 55 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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