Mi Hwa Lee

39 total papers · 458 total citations
20 papers, 313 citations indexed

About

Mi Hwa Lee is a scholar working on General Health Professions, Oncology and Epidemiology. According to data from OpenAlex, Mi Hwa Lee has authored 20 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 6 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in Mi Hwa Lee's work include Global Cancer Incidence and Screening (6 papers), Cervical Cancer and HPV Research (6 papers) and Mobile Health and mHealth Applications (4 papers). Mi Hwa Lee is often cited by papers focused on Global Cancer Incidence and Screening (6 papers), Cervical Cancer and HPV Research (6 papers) and Mobile Health and mHealth Applications (4 papers). Mi Hwa Lee collaborates with scholars based in United States, South Korea and Vietnam. Mi Hwa Lee's co-authors include Hee Yun Lee, Jerry H. Gurwitz, Paula A. Rochon, Joann Baril, Thalia S. Field, Traci LaLiberte, Kristine Piescher, Jeong‐Kyun Choi, Karim Thomas Sadak and Zan Gao and has published in prestigious journals such as Journal of the American Medical Informatics Association, Cancer Causes & Control and Journal of Clinical Medicine.

In The Last Decade

Mi Hwa Lee

20 papers receiving 297 citations

Author Peers

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

Author Last Decade Papers Cites
Mi Hwa Lee 107 81 61 59 46 20 313
Emmanuel Ngwakongnwi 92 0.9× 123 1.5× 45 0.7× 40 0.7× 14 0.3× 18 280
Elizabeth James 115 1.1× 30 0.4× 33 0.5× 33 0.6× 13 0.3× 16 320
Lena Sorensen 146 1.4× 35 0.4× 29 0.5× 40 0.7× 29 0.6× 15 344
Angela Ryan 97 0.9× 47 0.6× 42 0.7× 18 0.3× 20 0.4× 26 340
Elyse C. Lasser 221 2.1× 81 1.0× 21 0.3× 16 0.3× 29 0.6× 20 361
Mary Lou Breslin 135 1.3× 67 0.8× 21 0.3× 29 0.5× 11 0.2× 19 320
Akbar Ghiasi 99 0.9× 28 0.3× 23 0.4× 96 1.6× 12 0.3× 34 313
Juan A. López-Rodríguez 61 0.6× 73 0.9× 16 0.3× 30 0.5× 8 0.2× 30 221
Nazrila Hairizan Nasir 71 0.7× 110 1.4× 37 0.6× 26 0.4× 14 0.3× 22 330
Kimberly Devotta 161 1.5× 59 0.7× 31 0.5× 63 1.1× 7 0.2× 18 297

Countries citing papers authored by Mi Hwa Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mi Hwa Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Hwa Lee

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