Vanessa Landtwing

629 total citations
9 papers, 375 citations indexed

About

Vanessa Landtwing is a scholar working on Immunology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Vanessa Landtwing has authored 9 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Vanessa Landtwing's work include Immune Cell Function and Interaction (9 papers), Viral-associated cancers and disorders (6 papers) and Cytomegalovirus and herpesvirus research (3 papers). Vanessa Landtwing is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Viral-associated cancers and disorders (6 papers) and Cytomegalovirus and herpesvirus research (3 papers). Vanessa Landtwing collaborates with scholars based in Switzerland, Italy and Germany. Vanessa Landtwing's co-authors include Christian Münz, Obinna Chijioke, Ana Raykova, Carol S. Leung, Olga Antsiferova, Riccarda Capaul, Emanuela Marcenaro, Alessandro Moretta, Walter Bossart and Mário Henrique M. Barros and has published in prestigious journals such as Journal of Clinical Investigation, Frontiers in Immunology and European Journal of Immunology.

In The Last Decade

Vanessa Landtwing

8 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vanessa Landtwing Switzerland	7	269	228	141	92	45	9	375
Hui Jia United Kingdom	7	267 1.0×	381 1.7×	123 0.9×	110 1.2×	47 1.0×	10	488
Kim Ward United Kingdom	5	87 0.3×	190 0.8×	154 1.1×	57 0.6×	26 0.6×	5	284
Lisa K. Busch United States	8	217 0.8×	145 0.6×	52 0.4×	62 0.7×	34 0.8×	9	346
Tarik Azzi Switzerland	10	305 1.1×	304 1.3×	187 1.3×	132 1.4×	61 1.4×	12	462
Emilia Jaskuła Poland	11	116 0.4×	109 0.5×	91 0.6×	28 0.3×	49 1.1×	27	285
Zakia Djaoud United States	9	454 1.7×	107 0.5×	79 0.6×	21 0.2×	24 0.5×	13	491
Stéphanie Fiola Canada	5	246 0.9×	107 0.5×	110 0.8×	22 0.2×	42 0.9×	5	340
Natan Stein Israel	7	266 1.0×	117 0.5×	98 0.7×	13 0.1×	30 0.7×	10	381
Min Xia Germany	3	294 1.1×	110 0.5×	52 0.4×	57 0.6×	22 0.5×	4	359
Carol Quink United States	10	107 0.4×	313 1.4×	251 1.8×	98 1.1×	56 1.2×	10	386

Countries citing papers authored by Vanessa Landtwing

Since Specialization

Citations

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

Fields of papers citing papers by Vanessa Landtwing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Landtwing

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

Caduff, Nicole, Donal McHugh, Anita Murer, et al.. (2020). Immunosuppressive FK506 treatment leads to more frequent EBV-associated lymphoproliferative disease in humanized mice. PLoS Pathogens. 16(4). e1008477–e1008477. 16 indexed citations

Caduff, Nicole, Donal McHugh, Anita Murer, et al.. (2020). Correction: Immunosuppressive FK506 treatment leads to more frequent EBV-associated lymphoproliferative disease in humanized mice. PLoS Pathogens. 16(12). e1009167–e1009167. 1 indexed citations

Raykova, Ana, Paolo Carrega, F. Lehmann, et al.. (2017). Interleukins 12 and 15 induce cytotoxicity and early NK-cell differentiation in type 3 innate lymphoid cells. Blood Advances. 1(27). 2679–2691. 36 indexed citations

Chijioke, Obinna, Vanessa Landtwing, & Christian Münz. (2016). NK Cell Influence on the Outcome of Primary Epstein–Barr Virus Infection. Frontiers in Immunology. 7. 323–323. 51 indexed citations

Landtwing, Vanessa, Ana Raykova, Gaetana Pezzino, et al.. (2016). Cognate HLA absence in trans diminishes human NK cell education. Journal of Clinical Investigation. 126(10). 3772–3782. 28 indexed citations

Gujer, Cornelia, Bithi Chatterjee, Vanessa Landtwing, et al.. (2015). Animal models of Epstein Barr virus infection. Current Opinion in Virology. 13. 6–10. 22 indexed citations

Chijioke, Obinna, Anne Müller, Regina Feederle, et al.. (2015). Human Natural Killer Cells Prevent Infectious Mononucleosis Features by Targeting Lytic Epstein-Barr Virus Infection. Cell Reports. 12(5). 901–901.

Chijioke, Obinna, Anne Müller, Regina Feederle, et al.. (2013). Human Natural Killer Cells Prevent Infectious Mononucleosis Features by Targeting Lytic Epstein-Barr Virus Infection. Cell Reports. 5(6). 1489–1498. 183 indexed citations

Leung, Carol S., Obinna Chijioke, Cornelia Gujer, et al.. (2013). Infectious diseases in humanized mice. European Journal of Immunology. 43(9). 2246–2254. 38 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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