Eun Ji Han

590 total citations
46 papers, 425 citations indexed

About

Eun Ji Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Eun Ji Han has authored 46 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 14 papers in Surgery. Recurrent topics in Eun Ji Han's work include Radiomics and Machine Learning in Medical Imaging (16 papers), Medical Imaging Techniques and Applications (12 papers) and Lymphoma Diagnosis and Treatment (9 papers). Eun Ji Han is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), Medical Imaging Techniques and Applications (12 papers) and Lymphoma Diagnosis and Treatment (9 papers). Eun Ji Han collaborates with scholars based in South Korea, United States and Sweden. Eun Ji Han's co-authors include Ie Ryung Yoo, Joo Hyun O, Sung Hoon Kim, Soo Kyo Chung, Eun Kyoung Choi, Woo Hee Choi, Sung Hoon Kim, Hye Lim Park, Hyung Sun Sohn and Yeon‐Sil Kim and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and International Journal of Biological Macromolecules.

In The Last Decade

Eun Ji Han

43 papers receiving 418 citations

Peers

Eun Ji Han
Comparison fields: 5 of 56
  • Radiology, Nuclear Medicine and Imaging 178
  • Pulmonary and Respiratory Medicine 153
  • Surgery 129
  • Oncology 78
  • Pathology and Forensic Medicine 52
Replace Sunil Pasricha with:
Sunil Pasricha India
Clare Beadsmoore United Kingdom
Hye Lim Park South Korea
Ekta Dhamija India
Lawrence Oh Australia
Lise Bettman Israel
Pietro Bertoglio Italy
Jukka Schildt Finland
Masanori Teshima Japan
Eugenie Du United States
Sunil Pasricha India View profile →
Citations per field, relative to Eun Ji Han
Eun Ji Han · 1×
Citations per year, relative to Eun Ji Han
Eun Ji Han · 1×

Countries citing papers authored by Eun Ji Han

Since Specialization
Citations

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

Fields of papers citing papers by Eun Ji Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun Ji Han

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Ji Han. A scholar is included among the top collaborators of Eun Ji Han 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 Eun Ji Han. Eun Ji Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 1
5 1
6 0
7 9
8 2
9 20
10 11
11 10
12 7
13 1
14 7
15 1
16 4
17 6
18 7
19 31
20
Comparison between FDG Uptake and Clinicopathologic and Immunohistochemical Parameters in Pre-operative PET/CT Scan of Primary Gastric Carcinoma.
9

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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