Lasse Boding

626 total citations
20 papers, 424 citations indexed

About

Lasse Boding is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Lasse Boding has authored 20 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 6 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in Lasse Boding's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Lasse Boding is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Lasse Boding collaborates with scholars based in Denmark, Italy and United States. Lasse Boding's co-authors include Charlotte M. Bonefeld, Carsten Geisler, Marina Rode von Essen, Niels Ødum, Anders Woetmann, Clara Amalie Gade Timmermann, Flemming Nielsen, Pernille Just Vinholt, Philippe Grandjean and Marie Kruse and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Lasse Boding

20 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lasse Boding Denmark 12 134 94 83 83 74 20 424
Yuanchu She China 7 187 1.4× 22 0.2× 276 3.3× 93 1.1× 103 1.4× 8 575
Xueting Wang China 11 46 0.3× 25 0.3× 85 1.0× 21 0.3× 96 1.3× 36 334
Lisbeth A. Boulé United States 10 108 0.8× 16 0.2× 49 0.6× 43 0.5× 15 0.2× 14 336
Perla Niño-Moreno Mexico 13 227 1.7× 12 0.1× 187 2.3× 44 0.5× 35 0.5× 24 596
Sujata Basu Canada 15 171 1.3× 11 0.1× 197 2.4× 12 0.1× 39 0.5× 32 605
Marie C. Earley United States 10 37 0.3× 55 0.6× 195 2.3× 23 0.3× 14 0.2× 14 476
Andreas Kamyschnikow Germany 9 126 0.9× 10 0.1× 117 1.4× 15 0.2× 11 0.1× 13 490
Zhangye Xu China 12 99 0.7× 6 0.1× 58 0.7× 21 0.3× 8 0.1× 24 355
Enoch Appiah Adu‐Gyamfi China 14 121 0.9× 16 0.2× 158 1.9× 13 0.2× 8 0.1× 41 555

Countries citing papers authored by Lasse Boding

Since Specialization
Citations

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

Fields of papers citing papers by Lasse Boding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lasse Boding

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

All Works

20 of 20 papers shown
1.
Hansen, Cecilie Bo, Laura Pérez‐Alós, Kamille Fogh, et al.. (2023). SARS‐CoV‐2 antibody dynamics over time and risk factors associated with infection and long COVID‐19 symptoms in large working environments. Journal of Internal Medicine. 293(6). 763–781. 2 indexed citations
2.
Nielsen, Nete Munk, Arieh S. Cohen, Kassandra L. Munger, et al.. (2022). Vitamin D status and severity of COVID-19. Scientific Reports. 12(1). 19823–19823. 23 indexed citations
3.
Frische, Anders, Mikkel Gybel‐Brask, Susanne Gjørup Sækmose, et al.. (2022). Optimization and evaluation of a live virus SARS-CoV-2 neutralization assay. PLoS ONE. 17(7). e0272298–e0272298. 12 indexed citations
4.
Lassaunière, Ria, Charlotta Polacek, Anders Frische, et al.. (2022). Neutralizing Antibodies Against the SARS-CoV-2 Omicron Variant (BA.1) 1 to 18 Weeks After the Second and Third Doses of the BNT162b2 mRNA Vaccine. JAMA Network Open. 5(5). e2212073–e2212073. 30 indexed citations
5.
Gluud, Maria, Lasse Boding, Andreas Willerslev-Olsen, et al.. (2021). JAK3 Is Expressed in the Nucleus of Malignant T Cells in Cutaneous T Cell Lymphoma (CTCL). Cancers. 13(2). 280–280. 18 indexed citations
6.
7.
Grandjean, Philippe, Clara Amalie Gade Timmermann, Marie Kruse, et al.. (2020). Severity of COVID-19 at elevated exposure to perfluorinated alkylates. PLoS ONE. 15(12). e0244815–e0244815. 98 indexed citations
8.
Boding, Lasse, Å. Hansen, Germana Meroni, et al.. (2015). MID2 can substitute for MID1 and control exocytosis of lytic granules in cytotoxic T cells. Apmis. 123(8). 682–687. 5 indexed citations
9.
Lauritsen, Jens Peter H., Lasse Boding, Terkild B. Buus, et al.. (2015). Fine-tuning of T-cell development by the CD3γ di-leucine-based TCR-sorting motif. International Immunology. 27(8). 393–404. 3 indexed citations
10.
Kongsbak‐Wismann, Martin, Marina Rode von Essen, Lasse Boding, et al.. (2014). Vitamin D Up-Regulates the Vitamin D Receptor by Protecting It from Proteasomal Degradation in Human CD4+ T Cells. PLoS ONE. 9(5). e96695–e96695. 71 indexed citations
11.
Boding, Lasse, Å. Hansen, Morten M. Nielsen, et al.. (2014). Midline 1 controls polarization and migration of murine cytotoxic T cells. Immunity Inflammation and Disease. n/a–n/a. 1 indexed citations
12.
Boding, Lasse, Å. Hansen, Germana Meroni, et al.. (2014). Midline 1 directs lytic granule exocytosis and cytotoxicity of mouse killer T cells. European Journal of Immunology. 44(10). 3109–3118. 15 indexed citations
13.
Boding, Lasse, Å. Hansen, Morten M. Nielsen, et al.. (2014). Midline 1 controls polarization and migration of murine cytotoxic T cells. Immunity Inflammation and Disease. 2(4). 262–271. 8 indexed citations
14.
Essen, Marina Rode von, Martin Kongsbak‐Wismann, Trine B. Levring, et al.. (2013). PKC‐θ exists in an oxidized inactive form in naive human T cells. European Journal of Immunology. 43(6). 1659–1666. 10 indexed citations
15.
Hansen, Å., Matthias Regner, Charlotte M. Bonefeld, et al.. (2011). TCR down‐regulation boosts T‐cell‐mediated cytotoxicity and protection against poxvirus infections. European Journal of Immunology. 41(7). 1948–1957. 8 indexed citations
16.
Boding, Lasse, Charlotte M. Bonefeld, Marina Rode von Essen, et al.. (2010). Polymorphisms of the T cell receptor CD3δ and CD3ɛ chains affect anti-CD3 antibody binding and T cell activation. Molecular Immunology. 47(15). 2450–2457. 4 indexed citations
17.
Boding, Lasse, Charlotte M. Bonefeld, Bodil Nielsen, et al.. (2009). TCR Down-Regulation Controls T Cell Homeostasis. The Journal of Immunology. 183(8). 4994–5005. 12 indexed citations
18.
Bonefeld, Charlotte M., Mariëlle C. Haks, Bodil Nielsen, et al.. (2008). TCR Down-Regulation Controls Virus-Specific CD8+ T Cell Responses. The Journal of Immunology. 181(11). 7786–7799. 16 indexed citations
19.
Larsen, Jeppe Madura, Carsten Geisler, Lasse Boding, et al.. (2007). Cellular dynamics in the draining lymph nodes during sensitization and elicitation phases of contact hypersensitivity. Contact Dermatitis. 57(5). 300–308. 25 indexed citations
20.
Essen, Marina Rode von, Charlotte M. Bonefeld, Lasse Boding, et al.. (2006). Protein Kinase C (PKC)α and PKCθ Are the Major PKC Isotypes Involved in TCR Down-Regulation. The Journal of Immunology. 176(12). 7502–7510. 51 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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