Michael N. Kammer

152 total papers · 688 total citations
51 papers, 375 citations indexed

About

Michael N. Kammer is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Michael N. Kammer has authored 51 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pulmonary and Respiratory Medicine, 21 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Molecular Biology. Recurrent topics in Michael N. Kammer's work include Lung Cancer Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Lung Cancer Treatments and Mutations (9 papers). Michael N. Kammer is often cited by papers focused on Lung Cancer Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Lung Cancer Treatments and Mutations (9 papers). Michael N. Kammer collaborates with scholars based in United States, France and Germany. Michael N. Kammer's co-authors include Darryl J. Bornhop, Amanda Kussrow, Pierre P. Massion, George W. Jackson, Fabien Maldonado, Lynn V. Koplitz, Joel T. Mague, Robert A. Flowers, Stephen A. Deppen and Jens Meiler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Michael N. Kammer

48 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
Michael N. Kammer 142 134 120 78 35 51 375
Yasushi Numata 39 0.3× 55 0.4× 70 0.6× 51 0.7× 38 1.1× 26 418
Yiting Xie 112 0.8× 101 0.8× 114 0.9× 42 0.5× 11 0.3× 44 429
Mujeeb A. Sultan 34 0.2× 56 0.4× 104 0.9× 100 1.3× 14 0.4× 27 446
Jonathan Cotton 21 0.1× 117 0.9× 79 0.7× 73 0.9× 9 0.3× 22 345
Georgi Graschew 201 1.4× 53 0.4× 50 0.4× 180 2.3× 13 0.4× 50 432
Safoora Nikzad 43 0.3× 154 1.1× 49 0.4× 67 0.9× 14 0.4× 31 390
Ganesan Bharanidharan 55 0.4× 206 1.5× 33 0.3× 42 0.5× 23 0.7× 25 419
M. Weissbluth 62 0.4× 51 0.4× 40 0.3× 19 0.2× 27 0.8× 17 396
Shining Wang 24 0.2× 114 0.9× 24 0.2× 26 0.3× 53 1.5× 44 430
Shuichi Mori 43 0.3× 238 1.8× 45 0.4× 25 0.3× 13 0.4× 33 433

Countries citing papers authored by Michael N. Kammer

Since Specialization
Citations

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

Fields of papers citing papers by Michael N. Kammer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael N. Kammer. 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 Michael N. Kammer. The network helps show where Michael N. Kammer may publish in the future.

Co-authorship network of co-authors of Michael N. Kammer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael N. Kammer. A scholar is included among the top collaborators of Michael N. Kammer 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 Michael N. Kammer. Michael N. Kammer 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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