Dong Ik

2.0k citations
79 papers · 1.5k · h-index 20

Impact in

  • Hepatology top 0.5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 61
    • Liver Disease and Transplantation 15
    • Liver Disease Diagnosis and Treatment 37

Dong Ik

78 papers receiving 1.4k citations

Peers

Dong Ik
Comparison fields: 5 of 73
  • Hepatology 1.1k
  • Epidemiology 694
  • Radiology, Nuclear Medicine and Imaging 405
  • Pulmonary and Respiratory Medicine 275
  • Oncology 227
Replace Clotilde Della Pina with:
Clotilde Della Pina Italy
Antonio Giorgio Italy
Piyaporn Limanond United States
Ji Hye Min South Korea
Manxia Lin China
Henrik Nilsson Sweden
Hui-Hong Liang China
Yukihiro Koike Japan
Tomonori Fujishima Japan
Hans-Peter Allgaier Italy
Dong Ik relative to Clotilde Della Pina Italy Clotilde Della Pina's profile →
Citations per field
00.5×11.5×
Clotilde Della Pina · 1×
Citations per year

Countries citing papers authored by Dong Ik

Since Specialization
Citations

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

Fields of papers citing papers by Dong Ik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018103
2 2012101
3 201389
4 202081
5 201372
6 202069
7 201865
8 201747
9 201744
10 201840
11 201939
12 201135
13 201530
14 201330
15 201327
16 201826
17 201822
18 202022
19 201320
20 201320

About Dong Ik

Dong Ik is a scholar working on Hepatology, Epidemiology, Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (61 papers), Liver Disease Diagnosis and Treatment (37 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (23 papers), Liver Disease and Transplantation (15 papers), MRI in cancer diagnosis (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Renal cell carcinoma treatment (6 papers) and Pancreatic and Hepatic Oncology Research (6 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (694 citations), Radiology, Nuclear Medicine and Imaging (405 citations), Pulmonary and Respiratory Medicine (275 citations) and Oncology (227 citations). Dong Ik has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hyo Keun Lim, Min Woo Lee, Hyunchul Rhim, Tae Wook Kang, Kyoung Doo Song, Dong Hyun Sinn, Ji Hye Min, Young Jun Kim, Seong Hyun Kim and Kyunga Kim. Their work appears in journals such as European Radiology, Korean Journal of Radiology, ULTRASONOGRAPHY, Abdominal Radiology and British Journal of Radiology.

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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