Marcin Wegrecki

1.1k total citations · 1 hit paper
14 papers, 692 citations indexed

About

Marcin Wegrecki is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marcin Wegrecki has authored 14 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marcin Wegrecki's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and Immunotherapy and Immune Responses (4 papers). Marcin Wegrecki is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and Immunotherapy and Immune Responses (4 papers). Marcin Wegrecki collaborates with scholars based in United States, Australia and United Kingdom. Marcin Wegrecki's co-authors include Daniel Hilger, Søren G. F. Rasmussen, Roberta Pascolutti, Aashish Manglik, Sanduo Zheng, Andrew C. Kruse, Alexander S. Baier, Conor McMahon, Aaron M. Ring and Sarah C. Erlandson and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Marcin Wegrecki

13 papers receiving 689 citations

Hit Papers

Yeast surface display platform for rapid discovery of con... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Yeast surface display platform for rapid discovery of conformationally selective nanobodies
    2018 348 citations Conor McMahon, Alexander S. Baier et al. Nature Structural & Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcin Wegrecki United States 10 469 254 160 93 55 14 692
Lukas Sušac United States 11 410 0.9× 49 0.2× 87 0.5× 63 0.7× 32 0.6× 16 554
Roberta Pascolutti United States 7 559 1.2× 287 1.1× 98 0.6× 58 0.6× 41 0.7× 8 851
Pawel Listwan Australia 12 459 1.0× 82 0.3× 35 0.2× 13 0.1× 38 0.7× 17 553
Sarah Triest Belgium 4 430 0.9× 340 1.3× 91 0.6× 52 0.6× 16 0.3× 4 606
Masayoshi Onitsuka Japan 13 493 1.1× 236 0.9× 55 0.3× 14 0.2× 23 0.4× 35 584
Sylwia Huber Switzerland 13 451 1.0× 165 0.6× 135 0.8× 65 0.7× 15 0.3× 22 747
Kaori Esaki Japan 8 626 1.3× 399 1.6× 48 0.3× 62 0.7× 35 0.6× 8 736
Sébastian Charbonnier France 15 560 1.2× 51 0.2× 146 0.9× 27 0.3× 33 0.6× 18 906
Peter C. Fridy United States 11 814 1.7× 206 0.8× 87 0.5× 22 0.2× 47 0.9× 18 1.1k
Sarah C. Erlandson United States 5 415 0.9× 231 0.9× 44 0.3× 78 0.8× 20 0.4× 6 562

Countries citing papers authored by Marcin Wegrecki

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Wegrecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Wegrecki

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

All Works

14 of 14 papers shown
1.
Wegrecki, Marcin. (2023). CD1a-mediated immunity from a molecular perspective. Molecular Immunology. 158. 43–53. 7 indexed citations
2.
Wegrecki, Marcin, Sachith D. Gunasinghe, Anouk von Borstel, et al.. (2022). Atypical sideways recognition of CD1a by autoreactive γδ T cell receptors. Nature Communications. 13(1). 3872–3872. 27 indexed citations
3.
Hardman, Clare S., Yi‐Ling Chen, Marcin Wegrecki, et al.. (2022). CD1a promotes systemic manifestations of skin inflammation. Nature Communications. 13(1). 7535–7535. 11 indexed citations
4.
Wegrecki, Marcin, T. Praveena, Lijing Bu, et al.. (2021). The molecular assembly of the marsupial γμ T cell receptor defines a third T cell lineage. Science. 371(6536). 1383–1388. 16 indexed citations
5.
Cotton, Rachel N., Marcin Wegrecki, Tan‐Yun Cheng, et al.. (2021). CD1a selectively captures endogenous cellular lipids that broadly block T cell response. The Journal of Experimental Medicine. 218(7). 31 indexed citations
6.
Cotton, Rachel N., Tan‐Yun Cheng, Marcin Wegrecki, et al.. (2021). Human skin is colonized by T cells that recognize CD1a independently of lipid. Journal of Clinical Investigation. 131(1). 27 indexed citations
7.
Monnot, Gwennaëlle, Marcin Wegrecki, Lindsey A. Bordone, et al.. (2021). 035 Expansion of bacterial phosphatidylglycerol reactive CD4+ T cells in atopic dermatitis. Journal of Investigative Dermatology. 141(5). S6–S6. 1 indexed citations
8.
Shahine, Adam, Marcin Wegrecki, & Jérôme Le Nours. (2021). Novel Molecular Insights into Human Lipid-Mediated T Cell Immunity. International Journal of Molecular Sciences. 22(5). 2617–2617. 4 indexed citations
9.
Wegrecki, Marcin, Tan‐Yun Cheng, Elvire Anne Bourgeois, et al.. (2020). Human T cell response to CD1a and contact dermatitis allergens in botanical extracts and commercial skin care products. Science Immunology. 5(43). 43 indexed citations
10.
Du, Yang, Nguyễn Minh Đức, Søren G. F. Rasmussen, et al.. (2020). Time-resolved Conformational Analysis during GPCR-Gs Coupling. Proceedings for Annual Meeting of The Japanese Pharmacological Society. 93(0). 3–S28.
11.
Du, Yang, Nguyen Minh Duc, Søren G. F. Rasmussen, et al.. (2019). Assembly of a GPCR-G Protein Complex. Cell. 177(5). 1232–1242.e11. 150 indexed citations
12.
McMahon, Conor, Alexander S. Baier, Roberta Pascolutti, et al.. (2018). Yeast surface display platform for rapid discovery of conformationally selective nanobodies. Nature Structural & Molecular Biology. 25(3). 289–296. 348 indexed citations breakdown →
13.
Wegrecki, Marcin, Olga Rodríguez‐Galán, Jesús de la Cruz, & Jerónimo Bravo. (2015). The structure of Erb1-Ytm1 complex reveals the functional importance of a high-affinity binding between two β-propellers during the assembly of large ribosomal subunits in eukaryotes. Nucleic Acids Research. 43(22). 11017–11030. 18 indexed citations
14.
Wegrecki, Marcin, José L. Neira, & Jerónimo Bravo. (2015). The Carboxy-Terminal Domain of Erb1 Is a Seven-Bladed ß-Propeller that Binds RNA. PLoS ONE. 10(4). e0123463–e0123463. 9 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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