Frédéric Lirussi

1.1k total citations
41 papers, 817 citations indexed

About

Frédéric Lirussi is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Frédéric Lirussi has authored 41 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Immunology and 10 papers in Epidemiology. Recurrent topics in Frédéric Lirussi's work include Preterm Birth and Chorioamnionitis (10 papers), Reproductive System and Pregnancy (9 papers) and Pregnancy-related medical research (6 papers). Frédéric Lirussi is often cited by papers focused on Preterm Birth and Chorioamnionitis (10 papers), Reproductive System and Pregnancy (9 papers) and Pregnancy-related medical research (6 papers). Frédéric Lirussi collaborates with scholars based in France, China and United States. Frédéric Lirussi's co-authors include Carmen Garrido, Marc Bardou, Paul Sagot, Françoise Goirand, Maëva Wendremaire, Monique Dumas, Tian Xie, Xiang‐Yang Ye, Tarik Hadi and Luc Rochette and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Frédéric Lirussi

38 papers receiving 802 citations

Peers

Frédéric Lirussi
Comparison fields: 5 of 99
  • Molecular Biology 365
  • Immunology 141
  • Pulmonary and Respiratory Medicine 137
  • Epidemiology 108
  • Cancer Research 107
Replace Zhaoyang Wang with:
Zhaoyang Wang China
Renée Johnson Australia
Stella Chen United States
Pantea Izadi Iran
Ting Huang China
Annalisa Trenti Italy
Fábio V. Fonseca United States
Jiaming Xie China
Yanling Wu China
Lan Qin China
Zhaoyang Wang China View profile →
Citations per field, relative to Frédéric Lirussi
Frédéric Lirussi · 1×
Citations per year, relative to Frédéric Lirussi
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Countries citing papers authored by Frédéric Lirussi

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Lirussi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Lirussi

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Lirussi. A scholar is included among the top collaborators of Frédéric Lirussi 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 Frédéric Lirussi. Frédéric Lirussi 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
# Work Indexed citations
1 2
2 6
3 0
4 3
5 5
6 17
7 15
8 4
9 44
10 7
11 2
12 29
13 171
14 20
15 13
16 18
17 23
18 49
19 33
20 3

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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