Sarah Landis

79 total papers · 8.0k total citations
49 papers, 6.4k citations indexed

About

Sarah Landis is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Oncology. According to data from OpenAlex, Sarah Landis has authored 49 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 13 papers in Physiology and 12 papers in Oncology. Recurrent topics in Sarah Landis's work include Chronic Obstructive Pulmonary Disease (COPD) Research (19 papers), Asthma and respiratory diseases (13 papers) and Respiratory Support and Mechanisms (6 papers). Sarah Landis is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (19 papers), Asthma and respiratory diseases (13 papers) and Respiratory Support and Mechanisms (6 papers). Sarah Landis collaborates with scholars based in United States, United Kingdom and Netherlands. Sarah Landis's co-authors include Phyllis A. Wingo, Thomas S. Murray, Lynn A. G. Ries, Cheryll J. Cardinez, Robert N. Anderson, Robert T. Greenlee, Michael J. Thun, David M. Mannino, Masakazu Ichinose and Lynn Ries and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.

In The Last Decade

Sarah Landis

47 papers receiving 6.2k citations

Hit Papers

Cancer statistics, 1999 1998 2026 2007 2016 1999 1998 500 1000 1.5k 2.0k 2.5k

Author Peers

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

Author Last Decade Papers Cites
Sarah Landis 2.4k 2.1k 1.4k 1.1k 678 49 6.4k
Hyunsoon Cho 1.6k 0.7× 2.8k 1.3× 1.5k 1.0× 973 0.9× 868 1.3× 83 6.8k
J F Fraumeni 1.8k 0.7× 1.6k 0.8× 1.2k 0.8× 2.9k 2.6× 725 1.1× 48 7.1k
Stefano Rosso 1.6k 0.7× 2.8k 1.3× 1.1k 0.8× 1.0k 0.9× 822 1.2× 38 5.7k
Harry Comber 1.9k 0.8× 3.2k 1.5× 1.2k 0.9× 1.6k 1.4× 837 1.2× 104 7.0k
Gary Longton 1.3k 0.5× 1.7k 0.8× 1.3k 0.9× 1.5k 1.4× 627 0.9× 87 7.1k
Marie‐Josèphe Horner 1.9k 0.8× 3.6k 1.7× 1.3k 0.9× 1.3k 1.2× 994 1.5× 26 8.2k
Hannah K. Weir 1.9k 0.8× 3.9k 1.8× 1.4k 1.0× 1.3k 1.2× 1.0k 1.5× 84 8.1k
Elizabeth M. Ward 1.6k 0.6× 2.0k 0.9× 1.7k 1.2× 935 0.8× 1.3k 1.9× 41 6.0k
Christie R. Eheman 1.7k 0.7× 3.9k 1.8× 1.2k 0.8× 1.0k 0.9× 953 1.4× 47 7.4k
Urania Dafni 1.5k 0.6× 3.0k 1.4× 932 0.6× 1.1k 1.0× 694 1.0× 156 7.4k

Countries citing papers authored by Sarah Landis

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Landis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Landis

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