Rafael de Llorens

2.8k citations
61 papers · 2.4k indexed · h-index 32
Topics
Glycosylation and Glycoproteins Research (19 papers)HER2/EGFR in Cancer Research (9 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)

In The Last Decade

Rafael de Llorens

61 papers receiving 2.3k citations

Peers

Rafael de Llorens
Comparison fields: 5 of 97
  • Molecular Biology 1.7k
  • Oncology 690
  • Immunology 475
  • Organic Chemistry 369
  • Radiology, Nuclear Medicine and Imaging 316
Replace Andrea G. Cochran with:
Andrea G. Cochran United States
Rosa Peracaula Spain
Sami Mahrus United States
Cyril Bařinka Czechia
Arnold C. Satterthwait United States
Gregory H. Bird United States
John S. McMurray United States
Clifford Quan United States
Dale A. Cumming Canada
Laura Belvisi Italy
Rafael de Llorens relative to Andrea G. Cochran United States Andrea G. Cochran's profile →
Citations per field
00.5×1.5×
Andrea G. Cochran · 1×
Citations per year

Countries citing papers authored by Rafael de Llorens

Since Specialization
Citations

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

Fields of papers citing papers by Rafael de Llorens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael de Llorens. 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 Rafael de Llorens. The network helps show where Rafael de Llorens may publish in the future.

Co-authorship network of co-authors of Rafael de Llorens

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael de Llorens. A scholar is included among the top collaborators of Rafael de Llorens 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 Rafael de Llorens. Rafael de Llorens 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
#WorkIndexed citations
1 2
2 36
3 45
4 14
5 29
6 47
7 33
8 74
9 49
10 46
11 73
12 34
13 33
14 2
15 23
16 24
17 26
18 50
19 31
20 13

About Rafael de Llorens

Rafael de Llorens is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (19 papers), HER2/EGFR in Cancer Research (9 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Oncology (690 citations), Molecular Biology (1.7k citations) and Immunology (475 citations). Rafael de Llorens has collaborated with scholars based in Spain, United States and Ireland. Frequent co-authors include Rosa Peracaula, Pauline M. Rudd, Sílvia Barrabés, Ariadna Sarrats, Claudi M. Cuchillo, Marie‐Hélène Le Du, Rosa Núria Aleixandre, Esther Llop, Manel Ramírez and Radka Saldova. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

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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