Ihn Han

2.2k citations
77 papers · 1.6k · h-index 24

Impact in

Papers in

Ihn Han

74 papers receiving 1.6k citations

Peers

Ihn Han
Comparison fields: 5 of 141
  • Radiology, Nuclear Medicine and Imaging 497
  • Surfaces, Coatings and Films 68
  • Biomaterials 118
  • Biophysics 42
  • Inorganic Chemistry 94
Replace Inchan Kwon with:
Inchan Kwon South Korea
Dorota Bartusik‐Aebisher Poland
Felicity Y. Han Australia
David Aebisher Poland
Fei Xu China
Cai Zhang China
Ching‐Li Tseng Taiwan
Su‐Geun Yang South Korea
Qianqian Li China
Lan Ma China
Ihn Han relative to Inchan Kwon South Korea Inchan Kwon's profile →
Citations per field
00.5×3.4×
Inchan Kwon · 1×
Citations per year

Countries citing papers authored by Ihn Han

Since Specialization
Citations

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

Fields of papers citing papers by Ihn Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020155
2 201797
3 202296
4 201060
5 201758
6 202057
7 202057
8 201757
9 202355
10 201245
11 202243
12 201236
13 202134
14 201933
15 202333
16 201031
17 202130
18 201030
19 201129
20 201729

About Ihn Han

Ihn Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering and Materials Chemistry, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (28 papers), Electrohydrodynamics and Fluid Dynamics (8 papers), Graphene and Nanomaterials Applications (6 papers), Plasma Diagnostics and Applications (5 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Nanoplatforms for cancer theranostics (5 papers) and Hydrogen's biological and therapeutic effects (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (497 citations), Surfaces, Coatings and Films (68 citations), Biomaterials (118 citations), Biophysics (42 citations) and Inorganic Chemistry (94 citations). Ihn Han has collaborated with scholars based in South Korea, United States and Saudi Arabia. Frequent co-authors include Eun Ha Choi, Sohail Mumtaz, Juie Nahushkumar Rana, Dharmendra Kumar Yadav, Do Nam Lee, Kihak Gwon, Seonhwa Lee, Youngmee Kim, Desh Deepak Singh and Hun‐Kuk Park. Their work appears in journals such as International Journal of Molecular Sciences, Cells, Scientific Reports, PLoS ONE and Cancer Letters.

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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