Melissa Lever

964 total citations
7 papers, 581 citations indexed

About

Melissa Lever is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Melissa Lever has authored 7 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Melissa Lever's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Single-cell and spatial transcriptomics (2 papers). Melissa Lever is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Single-cell and spatial transcriptomics (2 papers). Melissa Lever collaborates with scholars based in United Kingdom, Brazil and Chile. Melissa Lever's co-authors include Omer Dushek, P. Anton van der Merwe, Philip K. Maini, Philipp Krüger, Helder I. Nakaya, Pedro Russo, Vinicius Maracaja‐Coutinho, Diógenes S. de Lima, João S. Silva and Thiago Dominguez Crespo Hirata and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature reviews. Immunology.

In The Last Decade

Melissa Lever

7 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Melissa Lever United Kingdom	7	248	217	214	82	72	7	581
Elizabeth Motunrayo Kolawole United States	17	231 0.9×	252 1.2×	743 3.5×	45 0.5×	92 1.3×	41	1.1k
Christian Schmees Germany	13	332 1.3×	117 0.5×	204 1.0×	77 0.9×	85 1.2×	26	758
Marion Arnaud Switzerland	10	281 1.1×	161 0.7×	234 1.1×	44 0.5×	91 1.3×	14	446
Leopoldo Laricchia‐Robbio United States	16	499 2.0×	64 0.3×	141 0.7×	85 1.0×	38 0.5×	26	800
Elaine P. Dopfer Germany	13	157 0.6×	172 0.8×	374 1.7×	22 0.3×	81 1.1×	15	566
Milos Aleksic United Kingdom	9	189 0.8×	329 1.5×	482 2.3×	42 0.5×	145 2.0×	11	767
Balint Otvos United States	13	284 1.1×	201 0.9×	172 0.8×	46 0.6×	22 0.3×	27	647
Natalia Sigal United States	12	526 2.1×	170 0.8×	759 3.5×	62 0.8×	38 0.5×	22	1.2k
Oleg Milberg United States	8	246 1.0×	146 0.7×	112 0.5×	109 1.3×	44 0.6×	12	618
Lindsay J. Edwards United States	9	176 0.7×	208 1.0×	535 2.5×	58 0.7×	137 1.9×	11	804

Countries citing papers authored by Melissa Lever

Since Specialization

Citations

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

Fields of papers citing papers by Melissa Lever

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Lever

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Gonçalves, André N. A., Melissa Lever, Pedro Russo, et al.. (2019). Assessing the Impact of Sample Heterogeneity on Transcriptome Analysis of Human Diseases Using MDP Webtool. Frontiers in Genetics. 10. 971–971. 15 indexed citations

2.

Russo, Pedro, Gustavo R. Ferreira, Lucas Esteves Cardozo, et al.. (2018). CEMiTool: a Bioconductor package for performing comprehensive modular co-expression analyses. BMC Bioinformatics. 19(1). 56–56. 193 indexed citations

3.

Harris, Daniel T., Marlies V. Hager, Sheena N. Smith, et al.. (2017). Comparison of T Cell Activities Mediated by Human TCRs and CARs That Use the Same Recognition Domains. The Journal of Immunology. 200(3). 1088–1100. 132 indexed citations

4.

Lever, Melissa, Philipp Krüger, John Nguyen, et al.. (2016). Architecture of a minimal signaling pathway explains the T-cell response to a 1 million-fold variation in antigen affinity and dose. Proceedings of the National Academy of Sciences. 113(43). E6630–E6638. 56 indexed citations

5.

Lever, Melissa, Eduardo L. V. Silveira, & Helder I. Nakaya. (2016). Systems Vaccinology Applied to DNA Vaccines: Perspective and Challenges. Current Issues in Molecular Biology. 22. 1–16. 6 indexed citations

6.

Lever, Melissa, Philip K. Maini, P. Anton van der Merwe, & Omer Dushek. (2014). Phenotypic models of T cell activation. Nature reviews. Immunology. 14(9). 619–629. 119 indexed citations

7.

Fairhead, M., Gianluca Veggiani, Melissa Lever, et al.. (2014). SpyAvidin Hubs Enable Precise and Ultrastable Orthogonal Nanoassembly. Journal of the American Chemical Society. 136(35). 12355–12363. 60 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.

Explore authors with similar magnitude of impact