Michael S. Landau

31 total papers · 1.0k total citations
22 papers, 686 citations indexed

About

Michael S. Landau is a scholar working on Surgery, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Michael S. Landau has authored 22 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 8 papers in Oncology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Michael S. Landau's work include Thyroid Cancer Diagnosis and Treatment (6 papers), Genetic factors in colorectal cancer (4 papers) and Esophageal Cancer Research and Treatment (4 papers). Michael S. Landau is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (6 papers), Genetic factors in colorectal cancer (4 papers) and Esophageal Cancer Research and Treatment (4 papers). Michael S. Landau collaborates with scholars based in United States, Italy and Netherlands. Michael S. Landau's co-authors include Liron Pantanowitz, Simion I. Chiosea, Reetesh K. Pai, Raja R. Seethala, N. Paul Ohori, Shih–Fan Kuan, Harry C. Blair, Yuri E. Nikiforov, Jon M. Davison and Yujuan Wang and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and The American Journal of Gastroenterology.

In The Last Decade

Michael S. Landau

21 papers receiving 672 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 S. Landau 220 218 210 117 103 22 686
Chiung‐Ru Lai 173 0.8× 197 0.9× 149 0.7× 85 0.7× 55 0.5× 37 600
Gun Forsslund 183 0.8× 123 0.6× 198 0.9× 162 1.4× 87 0.8× 18 712
Felicity Frost 156 0.7× 235 1.1× 132 0.6× 150 1.3× 36 0.3× 31 712
Rodney V. Pozderac 253 1.1× 178 0.8× 62 0.3× 135 1.2× 86 0.8× 35 731
A Zajdela 291 1.3× 169 0.8× 61 0.3× 290 2.5× 84 0.8× 28 788
Andrew T. Turk 167 0.8× 276 1.3× 243 1.2× 63 0.5× 43 0.4× 39 645
Salmaan Ahmed 201 0.9× 180 0.8× 338 1.6× 55 0.5× 72 0.7× 27 620
Emiko Taniguchi 93 0.4× 259 1.2× 234 1.1× 96 0.8× 53 0.5× 32 748
Tommaso Bizzarro 149 0.7× 375 1.7× 380 1.8× 73 0.6× 61 0.6× 28 690
Gui Young Kwon 162 0.7× 358 1.6× 73 0.3× 171 1.5× 31 0.3× 23 733

Countries citing papers authored by Michael S. Landau

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Landau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Landau

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