Do Young Kim

14.6k total citations · 3 hit papers
364 papers, 9.4k citations indexed

About

Do Young Kim is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Do Young Kim has authored 364 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 307 papers in Hepatology, 249 papers in Epidemiology and 57 papers in Surgery. Recurrent topics in Do Young Kim's work include Liver Disease Diagnosis and Treatment (202 papers), Hepatitis B Virus Studies (149 papers) and Hepatocellular Carcinoma Treatment and Prognosis (142 papers). Do Young Kim is often cited by papers focused on Liver Disease Diagnosis and Treatment (202 papers), Hepatitis B Virus Studies (149 papers) and Hepatocellular Carcinoma Treatment and Prognosis (142 papers). Do Young Kim collaborates with scholars based in South Korea, United States and Mongolia. Do Young Kim's co-authors include Kwang‐Hyub Han, Sang Hoon Ahn, Jun Yong Park, Seung Up Kim, Beom Kyung Kim, Chae Yoon Chon, Ja Kyung Kim, Hye Won Lee, Kwan Sik Lee and Young Nyun Park and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Do Young Kim

350 papers receiving 9.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sorafenib or placebo plus TACE with doxorubicin-eluting beads for intermediate stage HCC: The SPACE trial

2016 479 citations Won Young Tak, Do Young Kim et al. profile →
Risk estimation for hepatocellular carcinoma in chronic hepatitis B (REACH-B): development and validation of a predictive score

2011 457 citations Kwang‐Hyub Han, Do Young Kim et al. profile →
Changing etiology and epidemiology of hepatocellular carcinoma: Asia and worldwide

2024 62 citations Do Young Kim SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Do Young Kim South Korea	49	7.1k	5.7k	1.4k	942	914	364	9.4k
Takashi Kumada Japan	54	8.6k 1.2×	6.9k 1.2×	2.0k 1.5×	1.7k 1.8×	1.7k 1.8×	399	11.7k
Nathalie Ganne‐Carrié France	41	4.3k 0.6×	4.2k 0.7×	1.2k 0.8×	566 0.6×	729 0.8×	196	6.6k
Teh‐Ia Huo Taiwan	46	5.7k 0.8×	4.8k 0.8×	1.7k 1.3×	1.0k 1.1×	972 1.1×	256	7.7k
Beom Kyung Kim South Korea	43	5.1k 0.7×	4.7k 0.8×	919 0.7×	502 0.5×	525 0.6×	319	6.9k
Josep Fuster Spain	34	6.8k 1.0×	4.4k 0.8×	2.9k 2.1×	984 1.0×	1.4k 1.5×	122	8.9k
Markus Peck‐Radosavljevic Austria	66	9.7k 1.4×	8.4k 1.5×	3.1k 2.3×	1.3k 1.4×	1.8k 1.9×	376	14.7k
Angelo Sangiovanni Italy	36	4.7k 0.7×	3.8k 0.7×	1.1k 0.8×	570 0.6×	752 0.8×	124	6.1k
Su Jong Yu South Korea	38	3.2k 0.5×	2.9k 0.5×	941 0.7×	814 0.9×	1.2k 1.3×	280	6.2k
Fabio Farinati Italy	58	5.9k 0.8×	5.0k 0.9×	3.2k 2.4×	1.7k 1.8×	1.6k 1.7×	328	11.3k
Bruno Daniele Italy	34	4.4k 0.6×	2.0k 0.4×	1.6k 1.2×	1.1k 1.1×	2.7k 3.0×	202	8.4k

Countries citing papers authored by Do Young Kim

Since Specialization

Citations

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

Fields of papers citing papers by Do Young Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do Young Kim. 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 Do Young Kim. The network helps show where Do Young Kim may publish in the future.

Co-authorship network of co-authors of Do Young Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lee, Ha Young, et al.. (2025). Identification of new biomarkers of hepatic cancer stem cells through proteomic profiling. PubMed. 25(1). 123–133. 1 indexed citations

Kim, Do Young & Ji Hyun Kim. (2025). Diffuse bilateral macular edema associated with omidenepag isopropyl in phakic eyes after laser iridotomy: a case report. Japanese Journal of Ophthalmology.

Lee, Jae Seung, Mi Na Kim, Beom Kyung Kim, et al.. (2025). The Impact of Liraglutide on Patients With Metabolic Dysfunction–Associated Steatotic Liver Disease. Journal of Gastroenterology and Hepatology. 40(12). 2976–2986. 1 indexed citations

Kim, Do Young. (2024). Changing etiology and epidemiology of hepatocellular carcinoma: Asia and worldwide. SHILAP Revista de lepidopterología. 24(1). 622–70. 62 indexed citations breakdown →

Lee, Jae Seung, Ja Kyung Yoon, Jin‐Young Choi, et al.. (2024). Comparison between Nivolumab and Regorafenib as Second-line Systemic Therapies after Sorafenib Failure in Patients with Hepatocellular Carcinoma. Yonsei Medical Journal. 65(7). 371–371. 1 indexed citations

Kim, Tae‐Eun, Do Young Kim, Hyeongsu Kim, et al.. (2024). The Impact of Metabolic Syndrome on Heart Failure in Young Korean Population: A Nationwide Study. Metabolites. 14(9). 485–485. 1 indexed citations

Lee, Jae Seung, Hye Won Lee, Mi Na Kim, et al.. (2024). Hepatitis C virus infection in patients undergoing surgery in a single tertiary academic center. Journal of Gastroenterology and Hepatology. 39(6). 1155–1163.

Lee, Han Ah, Hae Lim Lee, Jeong Eun Song, et al.. (2023). The efficacy of treatment for hepatocellular carcinoma in elderly patients. SHILAP Revista de lepidopterología. 23(2). 362–376. 4 indexed citations

Nam, Heechul, Hyun Yang, Han Ah Lee, et al.. (2023). Impact of Low Skeletal Muscle Mass on Long-Term Outcomes in Hepatocellular Carcinoma Treated with Trans-Arterial Radioembolization: A Retrospective Multi-Center Study. Cancers. 15(21). 5195–5195. 3 indexed citations

10.

Kim, Do Young, Ho Yeong Lim, Jung‐Hwan Yoon, et al.. (2023). Sorafenib for 9,923 Patients with Hepatocellular Carcinoma: An Analysis from National Health Insurance Claim Data in South Korea. Gut and Liver. 18(1). 116–124. 1 indexed citations

11.

Chon, Young Eun, Soo Young Park, Seung Up Kim, et al.. (2022). Long‐term renal safety between patients with chronic hepatitis B receiving tenofovir vs. entecavir therapy: A multicenter study. Journal of Viral Hepatitis. 29(4). 289–296. 7 indexed citations

12.

Rho, Seoung Yoon, Hyun Woong Lee, Do Young Kim, & Kyung Sik Kim. (2021). Current Status of Therapeutic Choice and Feasibility for Patients with Hepatocellular Carcinoma Aged ≥ 70 Years: A Nationwide Cancer Registry Analysis. Journal of Hepatocellular Carcinoma. Volume 8. 321–332. 5 indexed citations

13.

Kim, Seung Up, Yeon Seok Seo, Hye Won Lee, et al.. (2020). A multi‐centre study of trends in hepatitis B virus‐related hepatocellular carcinoma risk over time during long‐term entecavir therapy. Journal of Viral Hepatitis. 27(12). 1352–1358. 5 indexed citations

14.

Chon, Young Eun, Kyu Sik Jung, Yeonjung Ha, et al.. (2020). High body mass index hinders fibrosis improvement in patients receiving long‐term tenofovir therapy in hepatitis B virus‐related cirrhosis. Journal of Viral Hepatitis. 27(11). 1119–1126. 7 indexed citations

15.

Kim, Sung‐Won, Jaeseung Shin, Do Young Kim, et al.. (2019). Radiomics on Gadoxetic Acid–Enhanced Magnetic Resonance Imaging for Prediction of Postoperative Early and Late Recurrence of Single Hepatocellular Carcinoma. Clinical Cancer Research. 25(13). 3847–3855. 155 indexed citations

16.

Zheng, Mei, Yoonyoung Jang, Nahyun Choi, et al.. (2019). Hypoxia improves hair inductivity of dermal papilla cells via nuclearNADPHoxidase 4‐mediated reactive oxygen species generation'. British Journal of Dermatology. 181(3). 523–534. 27 indexed citations

17.

Yoon, Sarah, Eun‐Ju Lee, Ji Hye Choi, et al.. (2018). Recapitulation of pharmacogenomic data reveals that invalidation of SULF2 enhance sorafenib susceptibility in liver cancer. Oncogene. 37(32). 4443–4454. 10 indexed citations

18.

Kim, Seung Up, Beom Kyung Kim, Jun Yong Park, et al.. (2016). Wisteria floribunda agglutinin‐positive human Mac‐2 binding protein predicts the risk of HBV‐related liver cancer development. Liver International. 37(6). 879–887. 35 indexed citations

19.

Kim, Mi Na, Hyun Sook Kim, Ja Kyung Kim, et al.. (2016). Clinical Utility of a New Automated Hepatitis C Virus Core Antigen Assay for Prediction of Treatment Response in Patients with Chronic Hepatitis C. Journal of Korean Medical Science. 31(9). 1431–1431. 8 indexed citations

20.

Muir, Kyle, Antonious Hazim, Ying He, et al.. (2013). Proteomic and Lipidomic Signatures of Lipid Metabolism in NASH-Associated Hepatocellular Carcinoma. Cancer Research. 73(15). 4722–4731. 134 indexed citations

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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