Hakmo Lee

453 citations
31 papers · 366 · h-index 10

Impact in

Papers in

    • Pancreatic function and diabetes 8
    • Immunotherapy and Immune Responses 5
    • Complement system in diseases 3
    • T-cell and B-cell Immunology 2

Hakmo Lee

30 papers receiving 360 citations

Peers

Hakmo Lee
Comparison fields: 5 of 63
  • Geriatrics and Gerontology 26
  • Immunology 99
  • Hematology 47
  • Genetics 26
  • Physiology 12
Replace Maja Studencka‐Turski with:
Maja Studencka‐Turski Germany
Duozhuang Tang China
Darren Qiancheng Tan Singapore
Wang Th Taiwan
Chenlin Song China
Konstantinos Voutetakis Greece
Giorgia Montano Sweden
Quanhui Zheng China
Liesong Chen China
Gemma Nock United Kingdom
Hakmo Lee relative to Maja Studencka‐Turski Germany Maja Studencka‐Turski's profile →
Citations per field
00.5×3.7×
Maja Studencka‐Turski · 1×
Citations per year

Countries citing papers authored by Hakmo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hakmo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hakmo 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 Hakmo Lee Line = papers co-authored together Hakmo Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201058
2 201543
3 200930
4 201726
5 200023
6 202119
7 201919
8 201916
9 201314
10 201312
11 20089
12 20079
13 20149
14 20228
15 20168
16 20208
17 20077
18 20066
19 20156
20 20235

About Hakmo Lee

Hakmo Lee is a scholar working on Surgery, Immunology, Molecular Biology, Hematology and Genetics, having authored 31 papers that have together received 366 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Hematopoietic Stem Cell Transplantation (6 papers), Immunotherapy and Immune Responses (5 papers), Complement system in diseases (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Diabetes and associated disorders (2 papers), Pluripotent Stem Cells Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Geriatrics and Gerontology (26 citations), Immunology (99 citations), Hematology (47 citations), Genetics (26 citations) and Physiology (12 citations). Hakmo Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Mariusz Z. Ratajczak, Hye Seung Jung, Kyong Soo Park, Sung Soo Chung, Anna Janowska‐Wieczorek, Sung‐Dae Cho, Leah A. Marquez‐Curtis, Ali Jalili, A. Robert Turner and Neeta Shirvaikar. Their work appears in journals such as Xenotransplantation, Journal of Korean Medical Science, Journal of Endocrinology, Scientific Reports and Journal of Clinical Biochemistry and Nutrition.

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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