Gail Martin

14 total papers · 652 total citations
12 papers, 547 citations indexed

About

Gail Martin is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Gail Martin has authored 12 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Gail Martin's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Neonatal Respiratory Health Research (4 papers) and Pulmonary Hypertension Research and Treatments (2 papers). Gail Martin is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Neonatal Respiratory Health Research (4 papers) and Pulmonary Hypertension Research and Treatments (2 papers). Gail Martin collaborates with scholars based in Canada, Germany and France. Gail Martin's co-authors include Jack Gauldie, Georg Brunner, Kjetil Ask, Martin Kolb, Philippe Bonniaud, Hans Smola, Sigrun Smola‐Hess, Thomas Krieg, Pierre Shephard and Jennifer Robertson and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and American Journal Of Pathology.

In The Last Decade

Gail Martin

12 papers receiving 533 citations

Author Peers

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

Author Last Decade Papers Cites
Gail Martin 191 186 66 61 60 12 547
Joon-Il Jun 268 1.4× 84 0.5× 103 1.6× 81 1.3× 46 0.8× 7 593
Sarah Rank Rønnow 133 0.7× 188 1.0× 36 0.5× 64 1.0× 16 0.3× 16 561
Fereshteh S. Younesi 178 0.9× 71 0.4× 22 0.3× 39 0.6× 75 1.3× 11 463
Olaf Holtkötter 161 0.8× 57 0.3× 31 0.5× 54 0.9× 63 1.1× 8 575
Chérif Badid 121 0.6× 93 0.5× 26 0.4× 58 1.0× 61 1.0× 15 607
Faith C. Muchemwa 150 0.8× 77 0.4× 17 0.3× 100 1.6× 41 0.7× 21 470
Lauren V. Graham 124 0.6× 54 0.3× 44 0.7× 79 1.3× 48 0.8× 17 452
M. Walraven 174 0.9× 105 0.6× 18 0.3× 39 0.6× 127 2.1× 11 558
Junji Xu 165 0.9× 82 0.4× 93 1.4× 26 0.4× 20 0.3× 19 542
Varsha Vakil 151 0.8× 181 1.0× 33 0.5× 137 2.2× 41 0.7× 8 547

Countries citing papers authored by Gail Martin

Since Specialization
Citations

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

Fields of papers citing papers by Gail Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail Martin

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