James Schofield

1.4k total citations
11 papers, 198 citations indexed

About

James Schofield is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Infectious Diseases. According to data from OpenAlex, James Schofield has authored 11 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Infectious Diseases. Recurrent topics in James Schofield's work include Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), COVID-19 Clinical Research Studies (2 papers) and Asthma and respiratory diseases (2 papers). James Schofield is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), COVID-19 Clinical Research Studies (2 papers) and Asthma and respiratory diseases (2 papers). James Schofield collaborates with scholars based in United Kingdom, Singapore and Netherlands. James Schofield's co-authors include Paul Skipp, Kian Fan Chung, Mark J. Coldwell, Ian M. Adcock, Ratko Djukanović, Michael Boedigheimer, Charles Auffray, Bertrand De Meulder, Andrew A. Welcher and Julie Corfield and has published in prestigious journals such as Nucleic Acids Research, American Journal of Respiratory and Critical Care Medicine and Frontiers in Immunology.

In The Last Decade

James Schofield

10 papers receiving 195 citations

Peers

James Schofield

PHYSI

IMMUN

PRM

SURGE

Diane Lefaudeux United States

Domenico Rosace Spain

Samantha Alexander Mexico

Christelle Ménard France

Lukas Kalinke United Kingdom

K Tajima Japan

Fryderyk Lorenz Sweden

Arun C. Habermann United States

Nargess Hassanzadeh‐Kiabi United States

Irina A. Tuzankina Russia

Diane Lefaudeux United States

James Schofield

59 ×0.7

84 ×1.0

PHYSI

83 ×1.4

IMMUN

46 ×1.1

PRM

23 ×1.1

SURGE

Citations per year, relative to James Schofield James Schofield (= 1×) peers Diane Lefaudeux

Countries citing papers authored by James Schofield

Since Specialization

Citations

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

Fields of papers citing papers by James Schofield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Schofield

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

All Works

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11 of 11 papers shown

Jones, Mark G., et al.. (2023). Topological data analysis identifies molecular phenotypes of idiopathic pulmonary fibrosis. Thorax. 78(7). 682–689. 3 indexed citations

Kermani, Nazanin Zounemat, Ian M. Adcock, Ratko Djukanović, Kian Fan Chung, & James Schofield. (2023). Systems Biology in Asthma. Advances in experimental medicine and biology. 1426. 215–235. 4 indexed citations

Lord, Jenny, Rebekah Penrice-Randal, Andrés F. Vallejo, et al.. (2022). Evaluating the Immune Response in Treatment-Naive Hospitalised Patients With Influenza and COVID-19. Frontiers in Immunology. 13. 853265–853265. 5 indexed citations

Penrice-Randal, Rebekah, Xiaofeng Dong, Aaron Gardner, et al.. (2022). Blood gene expression predicts intensive care unit admission in hospitalised patients with COVID-19. Frontiers in Immunology. 13. 988685–988685. 5 indexed citations

Lai, Chester, Stephen Smith, Matthew Sommerlad, et al.. (2020). Identification of proteins associated with development of metastasis from cutaneous squamous cell carcinomas (cSCCs) via proteomic analysis of primary cSCCs*. British Journal of Dermatology. 184(4). 709–721. 22 indexed citations

Schofield, James, et al.. (2020). A 5′ UTR GGN repeat controls localisation and translation of a potassium leak channel mRNA through G-quadruplex formation. Nucleic Acids Research. 48(17). 9822–9839. 30 indexed citations

Bigler, Jeannette, Michael Boedigheimer, James Schofield, et al.. (2017). A Severe Asthma Disease Signature from Gene Expression Profiling of Peripheral Blood from U-BIOPRED Cohorts. American Journal of Respiratory and Critical Care Medicine. 195(10). 1311–1320. 119 indexed citations

Schofield, James, Dominic Burg, Doroteya K. Staykova, et al.. (2016). Proteome fingerprints define groups with distinct clinico-pathological phenotypes in the U-BIOPRED asthma study. PA913–PA913.

Schofield, James, et al.. (2015). G-quadruplexes mediate local translation in neurons. Biochemical Society Transactions. 43(3). 338–342. 7 indexed citations

10.

Johnson, Mark J., et al.. (2011). Differences between prescribed, delivered and recommended energy and protein intakes in preterm infants. Proceedings of The Nutrition Society. 70(OCE5). 1 indexed citations

11.

Brimacombe, J., et al.. (1996). The influence of three deflation techniques Optimal shape of the laryngeal mask cuff. Anaesthesia. 51(7). 673–676. 2 indexed citations

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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