Bohee Lee

445 citations
29 papers · 240 · h-index 8

Impact in

Papers in

Bohee Lee

26 papers receiving 235 citations

Peers

Bohee Lee
Comparison fields: 5 of 54
  • General Health Professions 56
  • Pathology and Forensic Medicine 25
  • Statistics, Probability and Uncertainty 11
  • Physiology 32
  • Neurology 13
Replace Arumugam Moorthy with:
Arumugam Moorthy United Kingdom
Amira Mohamed Taha Egypt
Jennifer Krejci-Manwaring United States
Karen V. MacDonald Canada
Abdullah A. Al Qurashi Saudi Arabia
Roma Tickoo United States
Fuyong Hu China
Matilde Boccia Italy
Abdul Rouf Pirzada Saudi Arabia
Bohee Lee relative to Arumugam Moorthy United Kingdom Arumugam Moorthy's profile →
Citations per field
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Arumugam Moorthy · 1×
Citations per year

Countries citing papers authored by Bohee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Bohee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bohee Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bohee Lee Line = papers co-authored together Bohee Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202352
2 201432
3 202126
4 202426
5 202218
6 202512
7 202310
8 20259
9 20157
10 20157
11 20237
12 20246
13 20224
14 20244
15 20254
16 20253
17 20253
18 20242
19 20111
20 20131

About Bohee Lee

Bohee Lee is a scholar working on Physiology, Hematology, Infectious Diseases, Pathology and Forensic Medicine and Epidemiology, having authored 29 papers that have together received 240 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (7 papers), Respiratory viral infections research (3 papers), COVID-19 Clinical Research Studies (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Delphi Technique in Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in General Health Professions (56 citations), Pathology and Forensic Medicine (25 citations), Statistics, Probability and Uncertainty (11 citations), Physiology (32 citations) and Neurology (13 citations). Bohee Lee has collaborated with scholars based in United Kingdom, South Korea and United States. Frequent co-authors include Jasmin Rostron, Ruth McQuillan, Marshall Dozier, Aziz Sheikh, Maureen P. Smith, Chloë I. Bloom, Tricia Tan, Ernie Wong, Kenneth K. C. Man and Simon B. Drysdale. Their work appears in journals such as Blood, Journal of Global Health, ERJ Open Research, European Respiratory Journal and EClinicalMedicine.

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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