Won Ki Bae

1.1k citations
44 papers · 745 · h-index 15

Impact in

Papers in

Won Ki Bae

42 papers receiving 704 citations

Peers

Won Ki Bae
Comparison fields: 5 of 84
  • Hepatology 124
  • Pulmonary and Respiratory Medicine 302
  • Neurology 129
  • Critical Care and Intensive Care Medicine 30
  • Infectious Diseases 107
Replace G Huault with:
G Huault France
Amy Huang United States
Supavit Chesdachai United States
K. L. N. Rao India
J. H. Wandall Denmark
P Aeberhard Switzerland
Neven Papić Croatia
Eugenio Nelson Cavallari Italy
A Sardet France
Shan-Ming Chen Taiwan
Won Ki Bae relative to G Huault France G Huault's profile →
Citations per field
00.5×10×
G Huault · 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991105
2 199487
3 199464
4 199751
5 200944
6 200936
7 200533
8 200532
9 201130
10 200921
11
[Microbiologic study of the bile culture and antimicrobial susceptibility in patients with biliary tract infection].
200819
12 199117
13 200116
14 201815
15
[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
16 200513
17 200512
18 201512
19 201111
20 201710

About Won Ki Bae

Won Ki Bae is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Hepatology and Oncology, having authored 44 papers that have together received 745 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Lung Cancer Research Studies (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Neurosurgical Procedures and Complications (4 papers). The work is most often cited by research in Hepatology (124 citations), Pulmonary and Respiratory Medicine (302 citations), Neurology (129 citations), Critical Care and Intensive Care Medicine (30 citations) and Infectious Diseases (107 citations). Won Ki Bae has collaborated with scholars based in South Korea and United States. Frequent co-authors include Kyeong-Seok Lee, Il Gyu Yun, June Sung Lee, Kyung‐Ah Kim, Nam‐Hoon Kim, J G Im, Soo Hyun Hwang, Nam Hoon Kim, Hack Gun Bae and Jae-Won Doh. Their work appears in journals such as Clinical and Molecular Hepatology, Radiology, Journal of Korean Medical Science, Journal of Korean Neurosurgical Society and Gastroenterology.

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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