Jamie Wood

175 total papers · 6.0k total citations
80 papers, 1.8k citations indexed

About

Jamie Wood is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jamie Wood has authored 80 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Endocrinology, Diabetes and Metabolism, 25 papers in Pulmonary and Respiratory Medicine and 19 papers in Surgery. Recurrent topics in Jamie Wood's work include Diabetes Management and Research (32 papers), Cystic Fibrosis Research Advances (19 papers) and Pancreatic function and diabetes (17 papers). Jamie Wood is often cited by papers focused on Diabetes Management and Research (32 papers), Cystic Fibrosis Research Advances (19 papers) and Pancreatic function and diabetes (17 papers). Jamie Wood collaborates with scholars based in United States, Australia and United Kingdom. Jamie Wood's co-authors include William V. Tamborlane, Roy W. Beck, Lori M. Laffel, Lisa K. Volkening, Britta M. Svoren, Georgeanna J. Klingensmith, Maryanne Quinn, Linda A. DiMeglio, Kellee M. Miller and David M. Maahs and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Jamie Wood

75 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Jamie Wood 1.1k 610 476 293 251 80 1.8k
Colin P. Hawkes 829 0.8× 302 0.5× 374 0.8× 72 0.2× 406 1.6× 100 1.6k
Farid H. Mahmud 885 0.8× 645 1.1× 496 1.0× 79 0.3× 215 0.9× 93 2.1k
Neil T. Raymond 850 0.8× 393 0.6× 420 0.9× 61 0.2× 172 0.7× 58 2.3k
Kathryn Hirst 594 0.6× 310 0.5× 406 0.9× 61 0.2× 197 0.8× 50 1.7k
Valentino Cherubini 1.2k 1.1× 1.0k 1.7× 785 1.6× 64 0.2× 119 0.5× 93 2.0k
G Sterky 491 0.5× 411 0.7× 251 0.5× 41 0.1× 362 1.4× 81 1.6k
Jeanette M. Stafford 1.0k 0.9× 501 0.8× 521 1.1× 66 0.2× 134 0.5× 63 2.0k
Fiona Campbell 1.1k 1.1× 814 1.3× 690 1.4× 67 0.2× 119 0.5× 66 1.7k
Torild Skrivarhaug 1.3k 1.3× 1.0k 1.7× 775 1.6× 120 0.4× 260 1.0× 75 2.2k
Sonia Butalia 1.1k 1.0× 157 0.3× 385 0.8× 64 0.2× 237 0.9× 62 1.9k

Countries citing papers authored by Jamie Wood

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Wood

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