Stefan Kostense

4.4k total citations · 2 hit papers
30 papers, 3.2k citations indexed

About

Stefan Kostense is a scholar working on Immunology, Virology and Genetics. According to data from OpenAlex, Stefan Kostense has authored 30 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 14 papers in Virology and 9 papers in Genetics. Recurrent topics in Stefan Kostense's work include Immune Cell Function and Interaction (14 papers), HIV Research and Treatment (12 papers) and Virus-based gene therapy research (8 papers). Stefan Kostense is often cited by papers focused on Immune Cell Function and Interaction (14 papers), HIV Research and Treatment (12 papers) and Virus-based gene therapy research (8 papers). Stefan Kostense collaborates with scholars based in Netherlands, United States and United Kingdom. Stefan Kostense's co-authors include Frank Miedema, Debbie van Baarle, Jaap Goudsmit, Wouter Koudstaal, Menzo Havenga, Dörte Hamann, M. Shirin Sabbaghian, Linda A. Ehler, Stephen A. Migueles and Shuying Liu and has published in prestigious journals such as Blood, Nature Immunology and The Journal of Immunology.

In The Last Decade

Stefan Kostense

30 papers receiving 3.1k 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.

HIV-specific CD8+ T cell proliferation is coupled to perforin expression and is maintained in nonprogressors

2002 792 citations Stephen A. Migueles, W. Lesley Shupert et al. Nature Immunology profile →
Plasma tau, neurofilament light chain and amyloid-β levels and risk of dementia; a population-based cohort study

2020 215 citations Gerrit Jan Weverling, Wouter Koudstaal et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Kostense Netherlands	22	1.8k	1.4k	768	704	601	30	3.2k
Marc S. Horwitz Canada	27	2.0k 1.2×	910 0.6×	575 0.7×	679 1.0×	879 1.5×	81	3.6k
Lishomwa C. Ndhlovu United States	32	2.6k 1.5×	964 0.7×	500 0.7×	772 1.1×	147 0.2×	171	4.4k
Thiago Y. Oliveira United States	32	2.4k 1.3×	1.3k 0.9×	498 0.6×	1.1k 1.6×	322 0.5×	62	4.9k
Elias A. Said Oman	23	2.0k 1.1×	1.2k 0.8×	641 0.8×	513 0.7×	101 0.2×	50	3.4k
Roberto Mariani United States	21	1.1k 0.6×	1.9k 1.3×	735 1.0×	919 1.3×	297 0.5×	28	2.8k
David Favre United States	18	838 0.5×	894 0.6×	419 0.5×	481 0.7×	550 0.9×	23	2.2k
Edward Barker United States	30	1.9k 1.1×	1.5k 1.1×	563 0.7×	446 0.6×	104 0.2×	58	2.8k
Scott G. Kitchen United States	31	1.5k 0.9×	1.4k 1.0×	360 0.5×	651 0.9×	362 0.6×	72	2.9k
Stephanie A. Anderson United States	23	1.1k 0.6×	1.1k 0.8×	343 0.4×	496 0.7×	134 0.2×	48	2.1k
John W. Melski United States	19	561 0.3×	727 0.5×	1.3k 1.7×	256 0.4×	232 0.4×	33	3.3k

Countries citing papers authored by Stefan Kostense

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Kostense

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Kostense

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Kostense. A scholar is included among the top collaborators of Stefan Kostense 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 Stefan Kostense. Stefan Kostense 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

Berger, C, Pierre Cortez, Yann Dean, et al.. (2015). A fit-for-purpose strategy for the risk-based immunogenicity testing of biotherapeutics: a European industry perspective. Journal of Immunological Methods. 417. 1–9. 26 indexed citations

Brinks, Vera, Daniel Weinbuch, Matthew Baker, et al.. (2013). Preclinical Models Used for Immunogenicity Prediction of Therapeutic Proteins. Pharmaceutical Research. 30(7). 1719–1728. 48 indexed citations

Kostense, Stefan, Jenny Hendriks, Felicia H. Tirion, et al.. (2011). A Peptide-BasedPlasmodium falciparumCircumsporozoite Assay To Test for Serum Antibody Responses to Pre-Erythrocyte Malaria Vaccines. Clinical and Vaccine Immunology. 18(5). 776–782. 5 indexed citations

Pandya, Pankita H., Wilfred E. Marissen, Mikael Brink, et al.. (2008). First administration to humans of a monoclonal antibody cocktail against rabies virus: Safety, tolerability, and neutralizing activity. Vaccine. 26(47). 5922–5927. 98 indexed citations

Koldijk, Martin H., et al.. (2007). A sensitive cell-based assay for the detection of residual infectious West Nile virus. Vaccine. 25(39-40). 6872–6881. 5 indexed citations

Barouch, Dan H., Maria Grazia Pau, Jerome Custers, et al.. (2004). Immunogenicity of Recombinant Adenovirus Serotype 35 Vaccine in the Presence of Pre-Existing Anti-Ad5 Immunity. The Journal of Immunology. 172(10). 6290–6297. 313 indexed citations

Ophorst, Olga, Stefan Kostense, Jaap Goudsmit, et al.. (2004). An adenoviral type 5 vector carrying a type 35 fiber as a vaccine vehicle: DC targeting, cross neutralization, and immunogenicity. Vaccine. 22(23-24). 3035–3044. 63 indexed citations

Jansen, Christine A., et al.. (2004). Characterization of virus-specific CD8+ effector T cells in the course of HIV-1 infection: longitudinal analyses in slow and rapid progressors. Clinical Immunology. 113(3). 299–309. 19 indexed citations

Jansen, Christine A., Stefan Kostense, Nening M. Nanlohy, et al.. (2004). High responsiveness of HLA‐B57‐restricted Gag‐specific CD8⁺ T cells in vitro may contribute to the protective effect of HLA‐B57 in HIV‐infection. European Journal of Immunology. 35(1). 150–158. 24 indexed citations

10.

Kostense, Stefan, Wouter Koudstaal, Mieke Sprangers, et al.. (2004). Adenovirus types 5 and 35 seroprevalence in AIDS risk groups supports type 35 as a vaccine vector. AIDS. 18(8). 1213–1216. 131 indexed citations

11.

Minne, Caroline E. van der, Jaap Goudsmit, Johanna M.M. van Oers, et al.. (2004). Induction of CAMEL/NY-ESO-ORF2-specific CD8+ T cells upon stimulation with dendritic cells infected with a modified Ad5 vector expressing a chimeric Ad5/35 fiber. Cancer Gene Therapy. 11(3). 227–236. 14 indexed citations

12.

Baarle, Debbie van, Stefan Kostense, Egbert Hovenkamp, et al.. (2002). Lack of Epstein-Barr virus- and HIV-specific CD27− CD8+ T cells is associated with progression to viral disease in HIV-infection. AIDS. 16(15). 2001–2011. 55 indexed citations

13.

Kostense, Stefan, Sigrid A. Otto, Erik H. Manting, et al.. (2002). Functional restoration of human immunodeficiency virus and Epstein-Barr virus-specific CD8+ T cells during highly active antiretroviral therapy is associated with an increase in CD4+ T cells. European Journal of Immunology. 32(4). 1080–1089. 42 indexed citations

14.

Baarle, Debbie van, Stefan Kostense, Marinus H. J. van Oers, Dörte Hamann, & Frank Miedema. (2002). Failing immune control as a result of impaired CD8+ T-cell maturation: CD27 might provide a clue. Trends in Immunology. 23(12). 586–591. 106 indexed citations

15.

Migueles, Stephen A., W. Lesley Shupert, M. Shirin Sabbaghian, et al.. (2002). HIV-specific CD8+ T cell proliferation is coupled to perforin expression and is maintained in nonprogressors. Nature Immunology. 3(11). 1061–1068. 792 indexed citations breakdown →

16.

Kostense, Stefan, Frank M. Raaphorst, Daan W. Notermans, et al.. (2001). T cell expansions in lymph nodes and peripheral blood in HIV-1-infected individuals: effect of antiretroviral therapy. AIDS. 15(9). 1097–1107. 20 indexed citations

17.

Hamann, Dörte, Stefan Kostense, Katja C. Wolthers, et al.. (1999). Evidence that human CD8+CD45RA+CD27– cells are induced by antigen and evolve through extensive rounds of division. International Immunology. 11(7). 1027–1033. 150 indexed citations

18.

Kostense, Stefan, Wenn H. Sun, S F Taylor, et al.. (1998). Interleukin 12 administration enhances Th1 activity but delays recovery from influenza A virus infection in mice. Antiviral Research. 38(2). 117–130. 19 indexed citations

19.

Kostense, Stefan, Frank M. Raaphorst, Daan W. Notermans, et al.. (1998). Diversity of the T-cell receptor BV repertoire in HIV-1-infected patients reflects the biphasic CD4+ T-cell repopulation kinetics during highly active antiretroviral therapy. AIDS. 12(18). F235–F240. 42 indexed citations

20.

Wezel, Annemarie P. van, et al.. (1995). Intraspecies variation in lethal body burdens of narcotic compounds. Aquatic Toxicology. 33(3-4). 325–342. 59 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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