Laura Sekirov

689 citations
11 papers · 354 indexed · h-index 7
Topics
RNA Interference and Gene Delivery (6 papers)Immunotherapy and Immune Responses (5 papers)Immune Response and Inflammation (5 papers)
Partner nations
CanadaUnited StatesChina

In The Last Decade

Laura Sekirov

11 papers receiving 339 citations

Peers

Laura Sekirov
Comparison fields: 5 of 51
  • Molecular Biology 244
  • Immunology 163
  • Radiology, Nuclear Medicine and Imaging 60
  • Oncology 45
  • Genetics 42
Replace Choon-Kit Tang with:
Choon-Kit Tang Australia
Sumit Majumdar United States
Evelyn Montermann Germany
Ghania Chikh Canada
Christopher Schliehe Netherlands
Toshiki Sugita Japan
Hareth Al-Wassiti Australia
Boyang Sun China
Ines Mende United States
Chintan H. Kapadia United States
Laura Sekirov relative to Choon-Kit Tang Australia Choon-Kit Tang's profile →
Citations per field
00.5×1.6×
Choon-Kit Tang · 1×
Citations per year

Countries citing papers authored by Laura Sekirov

Since Specialization
Citations

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

Fields of papers citing papers by Laura Sekirov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Sekirov

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 21
2 8
3 58
4 20
5 5
6 98
7 53
8 4
9
Liposomal encapsulation enhances immunopotency of CpG ODN and potentiates ADCC by activation, expansion and enhanced homing of NK cells
2
10 80
11 5

About Laura Sekirov

Laura Sekirov is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 354 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Immunotherapy and Immune Responses (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Immunology (163 citations), Molecular Biology (244 citations) and Pharmaceutical Science (19 citations). Laura Sekirov has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Pieter R. Cullis, Sam G. Raney, Ghania Chikh, Ying K. Tam, Susan de Jong, Sean C. Semple, Sandra K. Klimuk, Ning Yuan, Ryan Sun and Edward G. Saravolac. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Biochemical and Biophysical Research Communications.

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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