David Kwa

1.3k total citations
19 papers, 548 citations indexed

About

David Kwa is a scholar working on Virology, Epidemiology and Immunology. According to data from OpenAlex, David Kwa has authored 19 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Virology, 8 papers in Epidemiology and 8 papers in Immunology. Recurrent topics in David Kwa's work include HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (7 papers) and Hepatitis C virus research (5 papers). David Kwa is often cited by papers focused on HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (7 papers) and Hepatitis C virus research (5 papers). David Kwa collaborates with scholars based in Netherlands, United States and United Kingdom. David Kwa's co-authors include Hanneke Schuitemaker, Brigitte Boeser‐Nunnink, Ayman El‐Guindy, Lyndle Gradoville, George Miller, Jan T. M. van der Meer, Maria Prins, Richard Molenkamp, Kees Brinkman and Janke Schinkel and has published in prestigious journals such as Journal of Virology, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

David Kwa

19 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kwa Netherlands 13 285 235 210 182 141 19 548
Yanmei Jiao China 16 476 1.7× 233 1.0× 556 2.6× 237 1.3× 64 0.5× 41 894
L Mathiesen Denmark 14 257 0.9× 158 0.7× 159 0.8× 231 1.3× 78 0.6× 21 571
Lynn Riddell United Kingdom 10 265 0.9× 121 0.5× 283 1.3× 183 1.0× 72 0.5× 20 514
Bruno De Rienzo Italy 12 274 1.0× 194 0.8× 211 1.0× 219 1.2× 36 0.3× 26 567
Guillaume Besson France 11 286 1.0× 258 1.1× 157 0.7× 218 1.2× 56 0.4× 11 585
Caitlyn Linde United States 11 384 1.3× 197 0.8× 413 2.0× 138 0.8× 43 0.3× 13 662
Gaël Petitjean France 14 775 2.7× 346 1.5× 594 2.8× 287 1.6× 63 0.4× 18 1.1k
Vinca Icard France 13 129 0.5× 242 1.0× 35 0.2× 275 1.5× 208 1.5× 18 555
Thuy Thanh Pham Vietnam 7 63 0.2× 145 0.6× 286 1.4× 119 0.7× 45 0.3× 12 475
Lena Fadda United States 8 345 1.2× 109 0.5× 703 3.3× 132 0.7× 27 0.2× 10 817

Countries citing papers authored by David Kwa

Since Specialization
Citations

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

Fields of papers citing papers by David Kwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kwa

This figure shows the co-authorship network connecting the top 25 collaborators of David Kwa. A scholar is included among the top collaborators of David Kwa 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 David Kwa. David Kwa 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.
Beld, Maaike van den, Roan Pijnacker, Alje P. van Dam, et al.. (2023). Whole-genome sequencing of Shigella for surveillance purposes shows (inter)national relatedness and multidrug resistance in isolates from men who have sex with men. Microbial Genomics. 9(4). 5 indexed citations
2.
Koekkoek, Sylvie M., Maria Prins, Kees Brinkman, et al.. (2019). Bile-salt stimulated lipase polymorphisms do not associate with HCV susceptibility. Virus Research. 274. 197715–197715. 2 indexed citations
3.
Koekkoek, Sylvie M., Michael W.T. Tanck, Joost W. Vanhommerig, et al.. (2018). SNP rs688 within the low‐density lipoprotein receptor (LDL‐R) gene associates with HCV susceptibility. Liver International. 39(3). 463–469. 9 indexed citations
4.
Koekkoek, Sylvie M., Joost W. Vanhommerig, Kees Brinkman, et al.. (2017). DC-SIGN Polymorphisms Associate with Risk of Hepatitis C Virus Infection Among Men who Have Sex with Men but not Among Injecting Drug Users. The Journal of Infectious Diseases. 217(3). 353–357. 5 indexed citations
5.
Rooijen, Martijn S. van, et al.. (2016). False-negative type-specific glycoprotein G antibody responses in STI clinic patients with recurrent HSV-1 or HSV-2 DNA positive genital herpes, The Netherlands. Sexually Transmitted Infections. 92(4). 257–260. 5 indexed citations
6.
Willemse, Sophie B., Lubbertus C. Baak, Sjoerd D. Kuiken, et al.. (2016). Sofosbuvir plus simeprevir for the treatment of HCV genotype 4 patients with advanced fibrosis or compensated cirrhosis is highly efficacious in real life. Journal of Viral Hepatitis. 23(12). 950–954. 19 indexed citations
7.
Rooijen, M van, et al.. (2013). O18.5 False Negative HSV IgG1 and IgG2 Antibody Responses in Individuals with a Recurrent Genital Herpes Infection. Sexually Transmitted Infections. 89(Suppl 1). A62.1–A62. 1 indexed citations
8.
Lambers, Femke A.E., Maria Prins, Xiomara V. Thomas, et al.. (2011). Alarming incidence of hepatitis C virus re-infection after treatment of sexually acquired acute hepatitis C virus infection in HIV-infected MSM. AIDS. 25(17). F21–F27. 113 indexed citations
9.
Flendrie, Marcel, et al.. (2010). Septic Arthritis Caused by Legionella dumoffii in a Patient with Systemic Lupus Erythematosus-Like Disease. Journal of Clinical Microbiology. 49(2). 746–749. 17 indexed citations
10.
Baalen, Carel A. van, David Kwa, Adrianus C. M. Boon, et al.. (2005). Fluorescent Antigen–Transfected Target Cell Cytotoxic T Lymphocyte Assay for Ex Vivo Detection of Antigen‐Specific Cell‐Mediated Cytotoxicity. The Journal of Infectious Diseases. 192(7). 1183–1190. 25 indexed citations
11.
Choudhary, Shailesh K., Neelima Choudhary, Jonathan Colasanti, et al.. (2004). R5 Human Immunodeficiency Virus Type 1 Infection of Fetal Thymic Organ Culture Induces Cytokine and CCR5 Expression. Journal of Virology. 79(1). 458–471. 15 indexed citations
12.
13.
Kwa, David, Brigitte Boeser‐Nunnink, & Hanneke Schuitemaker. (2003). Lack of evidence for an association between a polymorphism in CX3CR1 and the clinical course of HIV infection or virus phenotype evolution. AIDS. 17(5). 759–761. 13 indexed citations
14.
Cornelissen, Marion, Hanneke Schuitemaker, David Kwa, et al.. (2003). Identification of Sequential Viral Escape Mutants Associated with Altered T-Cell Responses in a Human Immunodeficiency Virus Type 1-Infected Individual. Journal of Virology. 77(23). 12430–12440. 56 indexed citations
15.
16.
Kwa, David, et al.. (2003). Association between an interleukin-4 promoter polymorphism and the acquisition of CXCR4 using HIV-1 variants. AIDS. 17(7). 981–985. 20 indexed citations
17.
Gradoville, Lyndle, David Kwa, Ayman El‐Guindy, & George Miller. (2002). Protein Kinase C-Independent Activation of the Epstein-Barr Virus Lytic Cycle. Journal of Virology. 76(11). 5612–5626. 74 indexed citations
18.
Kreisberg, Jason F., David Kwa, Birgit Schramm, et al.. (2001). Cytopathicity of Human Immunodeficiency Virus Type 1 Primary Isolates Depends on Coreceptor Usage and Not Patient Disease Status. Journal of Virology. 75(18). 8842–8847. 34 indexed citations
19.

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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