Won Ki Bae

1.2k citations
46 papers · 880 · h-index 16

Impact in

Papers in

Won Ki Bae

43 papers receiving 796 citations

Peers

Won Ki Bae
Comparison fields: 5 of 81
  • Hepatology 105
  • Pulmonary and Respiratory Medicine 297
  • Neurology 120
  • Endocrinology 41
  • Infectious Diseases 113
Replace B Becq-Giraudon with:
B Becq-Giraudon France
Te‐Yu Lin Taiwan
Jayanta Samanta India
Wiwat Chancharoenthana Thailand
Marta López Spain
Cédric Rafat France
A Sardet France
José Correia Portugal
Piedad Ussetti Spain
H. Wissing Germany
Won Ki Bae relative to B Becq-Giraudon France B Becq-Giraudon's profile →
Citations per field
00.5×5.4×
B Becq-Giraudon · 1×
Citations per year

Countries citing papers authored by Won Ki Bae

Since Specialization
Citations

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

Fields of papers citing papers by Won Ki Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Ki Bae. 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 Won Ki Bae. The network helps show where Won Ki Bae may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991111
2 199496
3 199470
4 199758
5 200947
6 200943
7 200136
8 200536
9 200534
10 200534
11 201130
12 199123
13 200922
14
[Microbiologic study of the bile culture and antimicrobial susceptibility in patients with biliary tract infection].
200820
15 200116
16 201815
17 200514
18
[Usefulness of serum alpha-fetoprotein (AFP) as a marker for hepatocellular carcinoma (HCC) in hepatitis C virus related cirrhosis: analysis of the factors influencing AFP elevation without HCC development].
200614
19 201313
20 201513

About Won Ki Bae

Won Ki Bae is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Oncology, Surgery and Neurology, having authored 46 papers that have together received 880 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (5 papers), Neurosurgical Procedures and Complications (4 papers), Lung Cancer Research Studies (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Hepatitis B Virus Studies (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Liver Disease and Transplantation (3 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Hepatology (105 citations), Pulmonary and Respiratory Medicine (297 citations), Neurology (120 citations), Endocrinology (41 citations) and Infectious Diseases (113 citations). Won Ki Bae has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Kyeong-Seok Lee, Il Gyu Yun, Kyung‐Ah Kim, June Sung Lee, Nam‐Hoon Kim, J G Im, Soo Hyun Hwang, Nam Hoon Kim, Yong Ho Park and Jae-Won Doh. Their work appears in journals such as Radiology, Clinical and Molecular Hepatology, Journal of Korean Medical Science, Gastroenterology and Diagnostic Cytopathology.

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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