Eunhee Han

597 citations
44 papers · 387 · h-index 11

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Respiratory viral infections research 6
    • Acute Myeloid Leukemia Research 6
    • Multiple Myeloma Research and Treatments 3

Eunhee Han

38 papers receiving 381 citations

Peers

Eunhee Han
Comparison fields: 5 of 78
  • Transplantation 32
  • Hematology 86
  • Molecular Medicine 21
  • Clinical Biochemistry 23
  • Cancer Research 48
Replace Ji Young Huh with:
Ji Young Huh South Korea
Frances Chambers United States
Karen S. Keslar United States
Frauke Friedrichs Germany
Brigitte Llanas France
Elizabeth H. Gray United Kingdom
Kazumi Isa Japan
Mary Riwes United States
Vanessa Gauttier France
Takashi Kawabe Japan
Eunhee Han relative to Ji Young Huh South Korea Ji Young Huh's profile →
Citations per field
00.5×5.3×
Ji Young Huh · 1×
Citations per year

Countries citing papers authored by Eunhee Han

Since Specialization
Citations

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

Fields of papers citing papers by Eunhee Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 201944
3 201825
4 201923
5 201622
6 201919
7 201417
8 201513
9 201913
10 201812
11 201411
12 201710
13 202010
14 20238
15 20157
16 20177
17 20197
18 20187
19 20137
20 20197

About Eunhee Han

Eunhee Han is a scholar working on Epidemiology, Hematology, Molecular Biology, Infectious Diseases and Genetics, having authored 44 papers that have together received 387 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Respiratory viral infections research (6 papers), SARS-CoV-2 detection and testing (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), BRCA gene mutations in cancer (4 papers), Multiple Myeloma Research and Treatments (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Transplantation (32 citations), Hematology (86 citations), Molecular Medicine (21 citations), Clinical Biochemistry (23 citations) and Cancer Research (48 citations). Eunhee Han has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Myungshin Kim, Yonggoo Kim, Hyojin Chae, Kyungja Han, Woori Jang, Hyeyoung Lee, Joonhong Park, Dong‐Gun Lee, Eun‐Jee Oh and Bin Cho. Their work appears in journals such as Annals of Laboratory Medicine, Clinica Chimica Acta, Diagnostic Microbiology and Infectious Disease, Journal of Medical Virology and PLoS ONE.

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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