Jennifer Da Silva

45 total papers · 2.0k total citations
21 papers, 696 citations indexed

About

Jennifer Da Silva is a scholar working on Pulmonary and Respiratory Medicine, Immunology and Nutrition and Dietetics. According to data from OpenAlex, Jennifer Da Silva has authored 21 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 4 papers in Immunology and 3 papers in Nutrition and Dietetics. Recurrent topics in Jennifer Da Silva's work include Cystic Fibrosis Research Advances (12 papers), Neonatal Respiratory Health Research (7 papers) and Tracheal and airway disorders (5 papers). Jennifer Da Silva is often cited by papers focused on Cystic Fibrosis Research Advances (12 papers), Neonatal Respiratory Health Research (7 papers) and Tracheal and airway disorders (5 papers). Jennifer Da Silva collaborates with scholars based in France, Brazil and United States. Jennifer Da Silva's co-authors include Pierre‐Régis Burgel, Agnès Lehuen, Clémence Martin, Lucie Beaudoin, Olivier Lantz, Alexandra J. Corbett, Jamie Rossjohn, Badr Kiaf, James McCluskey and Valmor Ziegler and has published in prestigious journals such as Nature Communications, Nature Immunology and Kidney International.

In The Last Decade

Jennifer Da Silva

19 papers receiving 691 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer Da Silva 240 187 105 80 79 21 696
H. F. Upchurch 146 0.6× 259 1.4× 128 1.2× 85 1.1× 30 0.4× 31 760
Jiraphorn Issara-Amphorn 280 1.2× 49 0.3× 383 3.6× 42 0.5× 34 0.4× 27 779
Takeaki Matsuda 122 0.5× 89 0.5× 127 1.2× 133 1.7× 26 0.3× 41 762
Julien Wartelle 190 0.8× 174 0.9× 155 1.5× 38 0.5× 88 1.1× 15 652
Stefanie Dichtl 173 0.7× 69 0.4× 227 2.2× 126 1.6× 15 0.2× 28 741
Lihui Wang 154 0.6× 65 0.3× 113 1.1× 34 0.4× 28 0.4× 24 616
Marty Wulferink 184 0.8× 54 0.3× 121 1.2× 89 1.1× 14 0.2× 17 701
Sarah L. Snelgrove 350 1.5× 66 0.4× 168 1.6× 40 0.5× 16 0.2× 17 740
Snježana Čužić 118 0.5× 163 0.9× 111 1.1× 24 0.3× 20 0.3× 31 594
Fangchen Gong 164 0.7× 86 0.5× 268 2.6× 29 0.4× 147 1.9× 23 655

Countries citing papers authored by Jennifer Da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Da Silva. 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 Jennifer Da Silva. The network helps show where Jennifer Da Silva may publish in the future.

Co-authorship network of co-authors of Jennifer Da Silva

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

All Works

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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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