Janet G. Shaw

23 total papers · 641 total citations
13 papers, 462 citations indexed

About

Janet G. Shaw is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Molecular Biology. According to data from OpenAlex, Janet G. Shaw has authored 13 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 3 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in Janet G. Shaw's work include Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Asthma and respiratory diseases (3 papers) and Neonatal Respiratory Health Research (2 papers). Janet G. Shaw is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Asthma and respiratory diseases (3 papers) and Neonatal Respiratory Health Research (2 papers). Janet G. Shaw collaborates with scholars based in Australia, Hong Kong and United Kingdom. Janet G. Shaw's co-authors include Ian A. Yang, David W. Reid, Fanny W.S. Ko, David S.C. Hui, Ka Pang Chan, Kwun M. Fong, Annette Dent, Rayleen Bowman, Annalicia Vaughan and P. V. Zimmerman and has published in prestigious journals such as Human Molecular Genetics, European Journal of Cancer and Genes and Immunity.

In The Last Decade

Janet G. Shaw

13 papers receiving 452 citations

Author Peers

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

Author Last Decade Papers Cites
Janet G. Shaw 347 117 72 69 58 13 462
Rune Grønseth 297 0.9× 127 1.1× 37 0.5× 72 1.0× 58 1.0× 20 421
Netsanet A. Negewo 336 1.0× 193 1.6× 47 0.7× 40 0.6× 67 1.2× 9 449
F. Ioli 332 1.0× 178 1.5× 82 1.1× 112 1.6× 18 0.3× 16 524
Shireen Mirza 307 0.9× 117 1.0× 28 0.4× 49 0.7× 84 1.4× 11 462
Nicholas Williams 339 1.0× 132 1.1× 46 0.6× 48 0.7× 122 2.1× 15 441
Guillaume Noell 353 1.0× 169 1.4× 36 0.5× 61 0.9× 33 0.6× 17 453
Herman-Jan Pennings 327 0.9× 121 1.0× 30 0.4× 63 0.9× 31 0.5× 12 459
Markos Minas 310 0.9× 159 1.4× 37 0.5× 34 0.5× 104 1.8× 23 544
M Gillooly 392 1.1× 116 1.0× 30 0.4× 49 0.7× 26 0.4× 12 521
Sheena Tam 231 0.7× 83 0.7× 72 1.0× 155 2.2× 79 1.4× 12 507

Countries citing papers authored by Janet G. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Janet G. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet G. Shaw. 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 Janet G. Shaw. The network helps show where Janet G. Shaw may publish in the future.

Co-authorship network of co-authors of Janet G. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Janet G. Shaw. A scholar is included among the top collaborators of Janet G. Shaw 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 Janet G. Shaw. Janet G. Shaw 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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