María Licursi

580 citations
21 papers · 429 indexed · h-index 13
Topics
T-cell and Retrovirus Studies (6 papers)Virus-based gene therapy research (6 papers)Cytokine Signaling Pathways and Interactions (6 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
CanadaArgentinaJapan

In The Last Decade

María Licursi

21 papers receiving 415 citations

Peers

María Licursi
Comparison fields: 5 of 69
  • Molecular Biology 185
  • Immunology 156
  • Agronomy and Crop Science 80
  • Oncology 66
  • Pulmonary and Respiratory Medicine 58
Replace Christine Berte with:
Christine Berte Switzerland
R Gatti Italy
Hiroyuki Kyushiki Japan
Heather Branscome United States
Eric Eastman United States
Amanda K. Purdy United States
Yasuka L. Yamaguchi Japan
Xiangzhong Yang United States
Michael Zheng United States
María Licursi relative to Christine Berte Switzerland Christine Berte's profile →
Citations per field
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Citations per year

Countries citing papers authored by María Licursi

Since Specialization
Citations

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

Fields of papers citing papers by María Licursi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Licursi

This figure shows the co-authorship network connecting the top 25 collaborators of María Licursi. A scholar is included among the top collaborators of María Licursi 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 María Licursi. María Licursi 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 4
2 5
3 21
4 50
5 35
6 7
7 3
8 29
9 30
10 21
11 36
12 16
13 42
14 33
15 8
16 18
17 34
18 31
19
Leucosis enzoótica bovina: evaluación de técnicas de diagnóstico (ID, ELISA-I, WB, PCR) en bovinos inoculados experimentalmente
3
20 2

About María Licursi

María Licursi is a scholar working on Immunology, Agronomy and Crop Science and Endocrine and Autonomic Systems, having authored 21 papers that have together received 429 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (6 papers), Virus-based gene therapy research (6 papers) and Cytokine Signaling Pathways and Interactions (6 papers). The work is most often cited by research in Agronomy and Crop Science (80 citations), Immunology (156 citations) and Aging (7 citations). María Licursi has collaborated with scholars based in Canada, Argentina and Japan. Frequent co-authors include Kensuke Hirasawa, Sherri L. Christian, Ester Teresa González, Donglai Wu, Yasuo Inoshima, Takashi Yokoyama, Hiroshi Sentsui, Yumiko Komatsu, Vipin Shankar Chelakkot and Michiru Hirasawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

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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