Emma Scholefield

30 total papers · 804 total citations
20 papers, 524 citations indexed

About

Emma Scholefield is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Emma Scholefield has authored 20 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Emma Scholefield's work include Neonatal Respiratory Health Research (5 papers), Respiratory Support and Mechanisms (5 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Emma Scholefield is often cited by papers focused on Neonatal Respiratory Health Research (5 papers), Respiratory Support and Mechanisms (5 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Emma Scholefield collaborates with scholars based in United Kingdom, United States and Brazil. Emma Scholefield's co-authors include Kevin Dhaliwal, Mark Bradley, Ahsan R. Akram, Neil McDonald, Christopher Haslett, Nicolaos Avlonitis, Sunay V. Chankeshwara, Duncan C. Humphries, Adriano G. Rossi and David A. Dorward and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Emma Scholefield

20 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Emma Scholefield 168 157 137 123 46 20 524
Carolina García 203 1.2× 57 0.4× 89 0.6× 54 0.4× 37 0.8× 47 558
Fabio Stellari 186 1.1× 196 1.2× 57 0.4× 74 0.6× 37 0.8× 27 490
Miha Sok 229 1.4× 141 0.9× 30 0.2× 29 0.2× 77 1.7× 21 539
H.-I. Peterson 150 0.9× 103 0.7× 25 0.2× 51 0.4× 46 1.0× 37 567
Kaori Masuda 130 0.8× 42 0.3× 57 0.4× 43 0.3× 29 0.6× 16 617
Thomas M. Whitehead 213 1.3× 114 0.7× 21 0.2× 41 0.3× 19 0.4× 19 515
John A. Dickson 208 1.2× 40 0.3× 21 0.2× 174 1.4× 41 0.9× 17 561
Lorena Vázquez‐Iglesias 200 1.2× 61 0.4× 42 0.3× 128 1.0× 16 0.3× 24 455
Xiaoou Li 269 1.6× 112 0.7× 99 0.7× 27 0.2× 51 1.1× 24 554
Nanhui Liu 156 0.9× 52 0.3× 100 0.7× 210 1.7× 21 0.5× 20 466

Countries citing papers authored by Emma Scholefield

Since Specialization
Citations

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

Fields of papers citing papers by Emma Scholefield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Scholefield

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