Anne-Laure Flamar

3.2k citations
28 papers · 2.3k indexed · 2 hit papers · h-index 20
Topics
Immunotherapy and Immune Responses (14 papers)Immune Cell Function and Interaction (14 papers)IL-33, ST2, and ILC Pathways (10 papers)

In The Last Decade

Anne-Laure Flamar

28 papers receiving 2.2k citations

Hit Papers

The neuropeptide neuromedin U stimulates innate lymphoid ...201720262020202320172018100200300400

Peers

Anne-Laure Flamar
Comparison fields: 5 of 94
  • Immunology 1.7k
  • Surgery 749
  • Molecular Biology 376
  • Physiology 349
  • Oncology 200
Replace Saya Moriyama with:
Saya Moriyama Japan
Carly G.K. Ziegler United States
Andrea Reboldi United States
Lionel Chasson France
Dalia Burzyn United States
Timothy Tree United Kingdom
Cristina M. Costantino United States
Abdelhadi Saoudi France
Yuefeng Huang United States
Pascale Alard United States
Anne-Laure Flamar relative to Saya Moriyama Japan Saya Moriyama's profile →
Citations per field
00.5×1.5×
Saya Moriyama · 1×
Citations per year

Countries citing papers authored by Anne-Laure Flamar

Since Specialization
Citations

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

Fields of papers citing papers by Anne-Laure Flamar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne-Laure Flamar. 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 Anne-Laure Flamar. The network helps show where Anne-Laure Flamar may publish in the future.

Co-authorship network of co-authors of Anne-Laure Flamar

This figure shows the co-authorship network connecting the top 25 collaborators of Anne-Laure Flamar. A scholar is included among the top collaborators of Anne-Laure Flamar 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 Anne-Laure Flamar. Anne-Laure Flamar 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
1 135
2 2
3 82
4 64
5 170
6 134
7 57
8
β 2 -adrenergic receptor–mediated negative regulation of group 2 innate lymphoid cell responsesbreakdown →
288
9 67
10
The neuropeptide neuromedin U stimulates innate lymphoid cells and type 2 inflammationbreakdown →
405
11 219
12 20
13 17
14 1
15 6
16 35
17 141
18 26
19 69
20 19

About Anne-Laure Flamar

Anne-Laure Flamar is a scholar working on Virology, Immunology and Surgery, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (14 papers) and IL-33, ST2, and ILC Pathways (10 papers). The work is most often cited by research in Immunology (1.7k citations), Surgery (749 citations) and Immunology and Allergy (86 citations). Anne-Laure Flamar has collaborated with scholars based in United States, France and Denmark. Frequent co-authors include David Artis, Gregory Putzel, Saya Moriyama, Jesper B. Moeller, Laurel A. Monticelli, Tanel Mahlakõiv, Christoph S. N. Klose, Lucille C. Rankin, Hans-Reimer Rodewald and Naomi Yudanin. Their work appears in journals such as Nature, Science and Cell.

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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