James M. Faed

33 total papers · 740 total citations
23 papers, 514 citations indexed

About

James M. Faed is a scholar working on Hematology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, James M. Faed has authored 23 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 5 papers in Genetics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in James M. Faed's work include Blood properties and coagulation (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Hemoglobinopathies and Related Disorders (3 papers). James M. Faed is often cited by papers focused on Blood properties and coagulation (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Hemoglobinopathies and Related Disorders (3 papers). James M. Faed collaborates with scholars based in New Zealand, Australia and United States. James M. Faed's co-authors include Stephen O. Brennan, Phil A. Silva, Sheila Williams, Alexander D. McLellan, Sarah C. Saunderson, Amy C. Dunn, Torsten Kleffmann, Graeme Hammond-Tooke, Kankatsu Yun and Hayley J. Ridgway and has published in prestigious journals such as Blood, Neurology and Journal of Child Psychology and Psychiatry.

In The Last Decade

James M. Faed

23 papers receiving 500 citations

Author Peers

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

Author Last Decade Papers Cites
James M. Faed 145 112 101 73 71 23 514
Ulrike Meyer 178 1.2× 48 0.4× 90 0.9× 31 0.4× 43 0.6× 16 549
Vassiliki Karavana 155 1.1× 161 1.4× 94 0.9× 64 0.9× 36 0.5× 21 571
Paraskevi Rodopoulou 113 0.8× 94 0.8× 35 0.3× 16 0.2× 31 0.4× 16 488
J. F. Adams 101 0.7× 84 0.8× 31 0.3× 23 0.3× 22 0.3× 30 591
Vladimir Vukićević 240 1.7× 36 0.3× 19 0.2× 28 0.4× 49 0.7× 26 609
Angela S. Benton 110 0.8× 133 1.2× 56 0.6× 25 0.3× 96 1.4× 21 544
Eric D. Newman 62 0.4× 43 0.4× 35 0.3× 33 0.5× 53 0.7× 28 509
Roosy Aulakh 44 0.3× 102 0.9× 104 1.0× 140 1.9× 20 0.3× 30 516
Christen L. Mumaw 117 0.8× 29 0.3× 172 1.7× 152 2.1× 190 2.7× 19 580
Jakob Lundgren 138 1.0× 144 1.3× 28 0.3× 35 0.5× 22 0.3× 26 458

Countries citing papers authored by James M. Faed

Since Specialization
Citations

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

Fields of papers citing papers by James M. Faed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James M. Faed

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Faed. A scholar is included among the top collaborators of James M. Faed 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 M. Faed. James M. Faed 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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