Felipe Lelis

2.5k total citations
10 papers, 223 citations indexed

About

Felipe Lelis is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Felipe Lelis has authored 10 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Felipe Lelis's work include Immune Response and Inflammation (3 papers), Immune cells in cancer (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Felipe Lelis is often cited by papers focused on Immune Response and Inflammation (3 papers), Immune cells in cancer (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Felipe Lelis collaborates with scholars based in United States, Germany and Switzerland. Felipe Lelis's co-authors include Dominik Hartl, Nikolaus Rieber, Iris Schäfer, Anurag Singh, Sandra Beer‐Hammer, Simone Pöschel, Anjali Ralhan, Julie Laval, Gustavo Eustáquio Brito Alvim de Melo and Stefanie Braig and has published in prestigious journals such as Nature Biotechnology, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Felipe Lelis

10 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felipe Lelis United States 7 125 61 36 28 25 10 223
Lindsey Chudley United Kingdom 7 127 1.0× 94 1.5× 69 1.9× 16 0.6× 8 0.3× 10 211
Juliette Paillet France 6 122 1.0× 85 1.4× 117 3.3× 17 0.6× 13 0.5× 13 296
Harry Yang United States 7 38 0.3× 216 3.5× 20 0.6× 18 0.6× 19 0.8× 12 294
Lukas T. Henneberg United States 7 98 0.8× 125 2.0× 75 2.1× 12 0.4× 7 0.3× 7 280
Natascha Brigo Austria 10 55 0.4× 55 0.9× 28 0.8× 17 0.6× 6 0.2× 21 210
Devin Champagne United States 6 101 0.8× 74 1.2× 39 1.1× 15 0.5× 9 0.4× 8 259
Linda Yang United States 5 68 0.5× 265 4.3× 27 0.8× 9 0.3× 7 0.3× 10 407
Tommaso Virgilio Switzerland 9 160 1.3× 139 2.3× 61 1.7× 12 0.4× 4 0.2× 17 305
Takahiro Yamazaki Japan 7 134 1.1× 153 2.5× 168 4.7× 22 0.8× 41 1.6× 14 374
Laura Ciaccia West United States 6 94 0.8× 127 2.1× 18 0.5× 11 0.4× 4 0.2× 6 214

Countries citing papers authored by Felipe Lelis

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Lelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Lelis

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

All Works

10 of 10 papers shown
1.
Bruno, Peter M., Richard T. Timms, Nouran S. Abdelfattah, et al.. (2023). High-throughput, targeted MHC class I immunopeptidomics using a functional genetics screening platform. Nature Biotechnology. 41(7). 980–992. 21 indexed citations
2.
Lelis, Felipe, Laura A. Byk, Sergei Pustylnikov, et al.. (2023). Safety, immunogenicity and efficacy of an mRNA-based COVID-19 vaccine, GLB-COV2-043, in preclinical animal models. Scientific Reports. 13(1). 21172–21172. 6 indexed citations
3.
Lelis, Felipe, et al.. (2020). Molecular identification and characterization of filamentous fungi and yeasts isolated in a pharmaceutical industry environment. Journal of Applied Pharmaceutical Science. 4 indexed citations
4.
Lelis, Felipe, et al.. (2019). Human monocytic myeloid‐derived suppressor cells impair B‐cell phenotype and function in vitro. European Journal of Immunology. 50(1). 33–47. 28 indexed citations
5.
6.
Lelis, Felipe, Anurag Singh, Simone Pöschel, et al.. (2017). Myeloid-derived suppressor cells modulate B-cell responses. Immunology Letters. 188. 108–115. 60 indexed citations
7.
Singh, Anurag, Felipe Lelis, Stefanie Braig, et al.. (2016). Differential Regulation of Myeloid-Derived Suppressor Cells by Candida Species. Frontiers in Microbiology. 7. 1624–1624. 26 indexed citations
8.
Ralhan, Anjali, et al.. (2016). Current Concepts and Controversies in Innate Immunity of Cystic Fibrosis Lung Disease. Journal of Innate Immunity. 8(6). 531–540. 28 indexed citations
9.
Melo, Gustavo Eustáquio Brito Alvim de, Rodrigo Nicolato, Antônio Carlos Pinheiro de Oliveira, et al.. (2012). Increase in dopaminergic, but not serotoninergic, receptors in T-cells as a marker for schizophrenia severity. Journal of Psychiatric Research. 46(6). 738–742. 30 indexed citations
10.
Lelis, Felipe, et al.. (2011). The crude latex of Euphorbia tirucalli modulates the cytokine response of leukocytes, especially CD4+ T lymphocytes. Revista Brasileira de Farmacognosia. 21(4). 662–667. 14 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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