Matthew R. Lammi

149 total papers · 1.3k total citations
52 papers, 473 citations indexed

About

Matthew R. Lammi is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Matthew R. Lammi has authored 52 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Pulmonary and Respiratory Medicine, 13 papers in Physiology and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Matthew R. Lammi's work include Pulmonary Hypertension Research and Treatments (26 papers), Systemic Sclerosis and Related Diseases (11 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers). Matthew R. Lammi is often cited by papers focused on Pulmonary Hypertension Research and Treatments (26 papers), Systemic Sclerosis and Related Diseases (11 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers). Matthew R. Lammi collaborates with scholars based in United States, Egypt and Switzerland. Matthew R. Lammi's co-authors include Lesley Ann Saketkoo, Gerard J. Criner, Nathaniel Marchetti, Mohamed A. Ghonim, A. Hamid Boulares, David Ciccolella, Bennett P. deBoisblanc, Amarjit S. Naura, Moselhy S. Mansy and Paulo C. Rodrı́guez and has published in prestigious journals such as SHILAP Revista de lepidopterología, CHEST Journal and Journal of Allergy and Clinical Immunology.

In The Last Decade

Matthew R. Lammi

47 papers receiving 471 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew R. Lammi 268 100 83 75 65 52 473
I Caubarrère 172 0.6× 44 0.4× 107 1.3× 48 0.6× 43 0.7× 44 521
Xiaohua Qiu 208 0.8× 85 0.8× 53 0.6× 27 0.4× 55 0.8× 47 472
Toru Yamada 178 0.7× 58 0.6× 70 0.8× 105 1.4× 13 0.2× 55 541
Sebastian Fähndrich 233 0.9× 82 0.8× 23 0.3× 54 0.7× 62 1.0× 39 428
Sudheer Arava 191 0.7× 60 0.6× 36 0.4× 87 1.2× 41 0.6× 62 455
Jiaxing Tan 78 0.3× 42 0.4× 57 0.7× 29 0.4× 30 0.5× 48 515
Kemal Bakır 231 0.9× 42 0.4× 96 1.2× 78 1.0× 30 0.5× 62 533
Takeshi Sasaki 131 0.5× 74 0.7× 37 0.4× 102 1.4× 70 1.1× 64 547
Hidemasa Okumura 85 0.3× 62 0.6× 56 0.7× 74 1.0× 60 0.9× 52 528
Lei Wang 152 0.6× 49 0.5× 51 0.6× 128 1.7× 57 0.9× 42 465

Countries citing papers authored by Matthew R. Lammi

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Lammi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew R. Lammi. 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 Matthew R. Lammi. The network helps show where Matthew R. Lammi may publish in the future.

Co-authorship network of co-authors of Matthew R. Lammi

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Lammi. A scholar is included among the top collaborators of Matthew R. Lammi 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 Matthew R. Lammi. Matthew R. Lammi 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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