Chong Kun Im

638 citations
10 papers · 559 · h-index 8

Impact in

  • Hepatology top 10%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Gastrointestinal Tumor Research and Treatment

Papers in

Chong Kun Im

10 papers receiving 543 citations

Peers

Chong Kun Im
Comparison fields: 5 of 43
  • Hepatology 105
  • Gastroenterology 47
  • Oncology 174
  • Pulmonary and Respiratory Medicine 197
  • Epidemiology 86
Replace Ghap Joong Jung with:
Ghap Joong Jung South Korea
Manuel Zaballa Spain
Junji Kita Japan
Takuma Okamura Japan
Maite Betés Spain
Martine Blazquez France
Hidetoshi Fukuoka Japan
Sara Vavassori Italy
Martin W. James United Kingdom
Masaki Wato Japan
Chong Kun Im relative to Ghap Joong Jung South Korea Ghap Joong Jung's profile →
Citations per field
00.5×1.5×2.1×
Ghap Joong Jung · 1×
Citations per year

Countries citing papers authored by Chong Kun Im

Since Specialization
Citations

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

Fields of papers citing papers by Chong Kun Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chong Kun Im. 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 Chong Kun Im. The network helps show where Chong Kun Im may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2008160
2 2011149
3 200899
4 201042
5
Association of the ABCB1 3435C>T polymorphism and treatment outcomes in advanced gastric cancer patients treated with paclitaxel-based chemotherapy.
201037
6 200926
7 200822
8 200715
9 20096
10 20103

About Chong Kun Im

Chong Kun Im is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Hepatology, Rheumatology and Surgery, having authored 10 papers that have together received 559 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (6 papers), Drug Transport and Resistance Mechanisms (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper), Bone and Dental Protein Studies (1 paper), Liver Disease and Transplantation (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Hepatology (105 citations), Gastroenterology (47 citations), Oncology (174 citations), Pulmonary and Respiratory Medicine (197 citations) and Epidemiology (86 citations). Chong Kun Im has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hei‐Cheul Jeung, Hyun Cheol Chung, Sun Young Rha, Joong Bae Ahn, Sung Hoon Noh, Jae Kyung Roh, Hye Ryun Kim, Seong Ha Cheon, Sung‐Moo Kim and Jieun Roh. Their work appears in journals such as Annals of Oncology, Cancer Research and Treatment, Oncology, Cancer and Journal of Hepatology.

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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