Minna K. Lee

38 total papers · 1.1k total citations
30 papers, 754 citations indexed

About

Minna K. Lee is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, Minna K. Lee has authored 30 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 18 papers in Surgery and 13 papers in Cancer Research. Recurrent topics in Minna K. Lee's work include Pancreatic and Hepatic Oncology Research (12 papers), Breast Cancer Treatment Studies (11 papers) and Pancreatitis Pathology and Treatment (7 papers). Minna K. Lee is often cited by papers focused on Pancreatic and Hepatic Oncology Research (12 papers), Breast Cancer Treatment Studies (11 papers) and Pancreatitis Pathology and Treatment (7 papers). Minna K. Lee collaborates with scholars based in United States. Minna K. Lee's co-authors include Joseph DiNorcia, John Allendorf, John A. Chabot, James A. Lee, Beth Schrope, Patrick L. Reavey, Maggie L. DiNome, Carlie K. Thompson, Deanna J. Attai and Jennifer L. Baker and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Annals of Surgery.

In The Last Decade

Minna K. Lee

29 papers receiving 735 citations

Author Peers

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

Author Last Decade Papers Cites
Minna K. Lee 494 405 178 156 155 30 754
Urszula Wereszczyńska-Siemiątkowska 416 0.8× 379 0.9× 91 0.5× 98 0.6× 108 0.7× 36 803
Hermann Re 285 0.6× 503 1.2× 184 1.0× 73 0.5× 200 1.3× 37 772
Dieter Birk 325 0.7× 418 1.0× 136 0.8× 58 0.4× 128 0.8× 35 723
Susan Sharpe 500 1.0× 335 0.8× 319 1.8× 75 0.5× 152 1.0× 22 760
E. Astudillo 370 0.7× 619 1.5× 153 0.9× 46 0.3× 149 1.0× 42 870
Linda M. Pak 270 0.5× 361 0.9× 197 1.1× 79 0.5× 110 0.7× 45 687
Taflan Salepçi 371 0.8× 270 0.7× 220 1.2× 85 0.5× 280 1.8× 40 801
Louise Stanton 439 0.9× 87 0.2× 137 0.8× 196 1.3× 181 1.2× 36 851
Ángel Segura 461 0.9× 143 0.4× 124 0.7× 78 0.5× 237 1.5× 44 881
Giovanni Ambrosino 202 0.4× 375 0.9× 166 0.9× 75 0.5× 204 1.3× 39 833

Countries citing papers authored by Minna K. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Minna K. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minna K. Lee. 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 Minna K. Lee. The network helps show where Minna K. Lee may publish in the future.

Co-authorship network of co-authors of Minna K. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Minna K. Lee. A scholar is included among the top collaborators of Minna K. Lee 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 Minna K. Lee. Minna K. Lee 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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