Stephen Machnicki

56 total papers · 526 total citations
31 papers, 282 citations indexed

About

Stephen Machnicki is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Stephen Machnicki has authored 31 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 10 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Stephen Machnicki's work include Medical Imaging and Pathology Studies (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Cardiac tumors and thrombi (4 papers). Stephen Machnicki is often cited by papers focused on Medical Imaging and Pathology Studies (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Cardiac tumors and thrombi (4 papers). Stephen Machnicki collaborates with scholars based in United States, Canada and Japan. Stephen Machnicki's co-authors include Suhail Raoof, David P. Naidich, Kevin K. Brown, Anup Singh, Bushra Mina, Francis Girvin, Atul C. Mehta, Robert Graham, Margarita Oks and William D. Travis and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and CHEST Journal.

In The Last Decade

Stephen Machnicki

24 papers receiving 270 citations

Author Peers

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

Author Last Decade Papers Cites
Stephen Machnicki 124 72 56 49 45 31 282
Samia Boussouar 133 1.1× 73 1.0× 28 0.5× 37 0.8× 23 0.5× 40 305
Katharina Mueller-Peltzer 146 1.2× 89 1.2× 86 1.5× 33 0.7× 14 0.3× 25 309
Sérgio Marrone Ribeiro 164 1.3× 57 0.8× 25 0.4× 21 0.4× 44 1.0× 42 327
Tan‐Lucien Mohammed 140 1.1× 68 0.9× 61 1.1× 33 0.7× 79 1.8× 27 296
Rashid Al Umairi 75 0.6× 53 0.7× 54 1.0× 39 0.8× 23 0.5× 28 190
Payam Mehrian 100 0.8× 70 1.0× 41 0.7× 71 1.4× 16 0.4× 46 316
Bo Da Nam 114 0.9× 71 1.0× 56 1.0× 33 0.7× 46 1.0× 47 284
Bart Ilsen 138 1.1× 77 1.1× 23 0.4× 27 0.6× 19 0.4× 35 285
Daniel B. Green 87 0.7× 29 0.4× 91 1.6× 25 0.5× 22 0.5× 30 299
Jordan B. Rapp 83 0.7× 58 0.8× 121 2.2× 32 0.7× 20 0.4× 33 244

Countries citing papers authored by Stephen Machnicki

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Machnicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Machnicki

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