Inca Kusters

481 total citations
9 papers, 372 citations indexed

About

Inca Kusters is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Inca Kusters has authored 9 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Epidemiology and 1 paper in Molecular Biology. Recurrent topics in Inca Kusters's work include Influenza Virus Research Studies (4 papers), Respiratory viral infections research (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Inca Kusters is often cited by papers focused on Influenza Virus Research Studies (4 papers), Respiratory viral infections research (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Inca Kusters collaborates with scholars based in France, Netherlands and Italy. Inca Kusters's co-authors include Frederick R. Vogel, Catherine Caillet, Jean Haensler, Isabel Leroux‐Roels, Sylvie Pichon, Karel Hoppenbrouwers, Geert Leroux–Roels, Corinne Vandermeulen, Fabienne Hans and Agnès Hoffenbach and has published in prestigious journals such as Journal of Virology, The Journal of Infectious Diseases and European Journal of Neuroscience.

In The Last Decade

Inca Kusters

9 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Inca Kusters France	8	178	103	100	89	53	9	372
Shuai Dong China	12	75 0.4×	84 0.8×	89 0.9×	70 0.8×	28 0.5×	20	353
Barkha Srivastava Germany	6	233 1.3×	200 1.9×	119 1.2×	55 0.6×	17 0.3×	7	430
Yuanzhuo Wang China	13	81 0.5×	48 0.5×	94 0.9×	55 0.6×	55 1.0×	36	381
A Yeh United States	6	116 0.7×	110 1.1×	171 1.7×	57 0.6×	35 0.7×	9	386
Jessica Ho United States	9	92 0.5×	122 1.2×	234 2.3×	40 0.4×	28 0.5×	20	413
Gina M. Lenzi United States	12	126 0.7×	163 1.6×	134 1.3×	122 1.4×	54 1.0×	13	427
W.B. Knott United States	7	143 0.8×	109 1.1×	67 0.7×	102 1.1×	30 0.6×	9	352
Ji‐Hun Lim South Korea	8	89 0.5×	114 1.1×	110 1.1×	54 0.6×	38 0.7×	27	365
Nishma Gupta Australia	8	90 0.5×	265 2.6×	137 1.4×	56 0.6×	37 0.7×	12	453
Sabrina Imam United States	9	83 0.5×	223 2.2×	129 1.3×	64 0.7×	101 1.9×	12	464

Countries citing papers authored by Inca Kusters

Since Specialization

Citations

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

Fields of papers citing papers by Inca Kusters

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inca Kusters

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

All Works

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9 of 9 papers shown

Durantel, David, Inca Kusters, Jacques Louis, et al.. (2017). Mechanisms behind TB, HBV, and HIV chronic infections. Infection Genetics and Evolution. 55. 142–150. 1 indexed citations

Vesikari, Timo, Stéphanie Pépin, Inca Kusters, Agnès Hoffenbach, & Martine Denis. (2012). Assessment of squalene adjuvanted and non-adjuvanted vaccines against pandemic H1N1 influenza in children 6 months to 17 years of age. Human Vaccines & Immunotherapeutics. 8(9). 1283–1292. 24 indexed citations

Caillet, Catherine, et al.. (2010). AF03-adjuvanted and non-adjuvanted pandemic influenza A (H1N1) 2009 vaccines induce strong antibody responses in seasonal influenza vaccine-primed and unprimed mice. Vaccine. 28(18). 3076–3079. 30 indexed citations

Vogel, Frederick R., Catherine Caillet, Inca Kusters, & Jean Haensler. (2009). Emulsion-based adjuvants for influenza vaccines. Expert Review of Vaccines. 8(4). 483–492. 66 indexed citations

Leroux‐Roels, Isabel, Karel Hoppenbrouwers, Corinne Vandermeulen, et al.. (2008). An Adjuvanted, Low‐Dose, Pandemic Influenza A (H5N1) Vaccine Candidate Is Safe, Immunogenic, and Induces Cross‐Reactive Immune Responses in Healthy Adults. The Journal of Infectious Diseases. 198(5). 642–649. 96 indexed citations

Lutsch, Charles, et al.. (2007). Evaluation of SARS-Coronavirus Decontamination Procedures. Applied Biosafety. 12(2). 100–108. 25 indexed citations

Honnorat, Jérôme, Tamara Byk, Inca Kusters, et al.. (1999). Ulip/CRMP proteins are recognized by autoantibodies in paraneoplastic neurological syndromes. European Journal of Neuroscience. 11(12). 4226–4232. 61 indexed citations

Buisson, Monique, et al.. (1999). The C-Terminal Region but Not the Arg-X-Pro Repeat of Epstein-Barr Virus Protein EB2 Is Required for Its Effect on RNA Splicing and Transport. Journal of Virology. 73(5). 4090–4100. 42 indexed citations

Esteve, Asunción, Thérese Sørlie, Ghyslaine Martel‐Planche, et al.. (1995). Screening for p53 Gene Mutations in Archived Tumors of Workers Occupationally Exposed to Carcinogens: Examples from Analysis of Bladder Tumors. Journal of Occupational and Environmental Medicine. 37(1). 59–68. 27 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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