David Francisco

41 total papers · 1.3k total citations
19 papers, 786 citations indexed

About

David Francisco is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, David Francisco has authored 19 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Molecular Biology. Recurrent topics in David Francisco's work include Asthma and respiratory diseases (10 papers), Neonatal Respiratory Health Research (6 papers) and IL-33, ST2, and ILC Pathways (4 papers). David Francisco is often cited by papers focused on Asthma and respiratory diseases (10 papers), Neonatal Respiratory Health Research (6 papers) and IL-33, ST2, and ILC Pathways (4 papers). David Francisco collaborates with scholars based in United States, Portugal and Iran. David Francisco's co-authors include Monica Kraft, Michelle Conway, Fernando D. Martínez, Francesca Polverino, Hiroki Kimura, Dean Billheimer, Donata Vercelli, Jennifer L. Ingram, Alexandros G. Georgakilas and Rafael Firszt and has published in prestigious journals such as The Journal of Immunology, American Journal of Respiratory and Critical Care Medicine and Free Radical Biology and Medicine.

In The Last Decade

David Francisco

18 papers receiving 779 citations

Author Peers

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

Author Last Decade Papers Cites
David Francisco 248 241 229 159 150 19 786
I A Cree 246 1.0× 160 0.7× 235 1.0× 70 0.4× 51 0.3× 25 833
Lucie McCoy 100 0.4× 173 0.7× 91 0.4× 132 0.8× 115 0.8× 34 742
Danen Cunoosamy 304 1.2× 213 0.9× 145 0.6× 49 0.3× 267 1.8× 23 736
Apoorva Mulay 397 1.6× 174 0.7× 80 0.3× 133 0.8× 69 0.5× 12 687
Eunice C. Chan 123 0.5× 223 0.9× 130 0.6× 50 0.3× 196 1.3× 29 694
Kamon Kawkitinarong 161 0.6× 300 1.2× 93 0.4× 135 0.8× 124 0.8× 29 780
Elianne Burg 128 0.5× 186 0.8× 76 0.3× 92 0.6× 277 1.8× 15 669
Pascale Cornillet 225 0.9× 217 0.9× 72 0.3× 36 0.2× 206 1.4× 22 837
Parker S. Woods 232 0.9× 226 0.9× 70 0.3× 36 0.2× 178 1.2× 26 662
J. Jansen 215 0.9× 124 0.5× 274 1.2× 38 0.2× 137 0.9× 18 844

Countries citing papers authored by David Francisco

Since Specialization
Citations

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

Fields of papers citing papers by David Francisco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Francisco

This figure shows the co-authorship network connecting the top 25 collaborators of David Francisco. A scholar is included among the top collaborators of David Francisco 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 David Francisco. David Francisco 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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