Ki‐Tae Hwang

2.0k citations
110 papers · 1.3k · h-index 19

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Breast Cancer Treatment Studies 36
    • Cancer Genomics and Diagnostics 14
    • HER2/EGFR in Cancer Research 10
    • Cancer Risks and Factors 6
    • Global Cancer Incidence and Screening 5

Ki‐Tae Hwang

95 papers receiving 1.3k citations

Peers

Ki‐Tae Hwang
Comparison fields: 5 of 122
  • Cancer Research 499
  • Oncology 511
  • Gastroenterology 59
  • Pathology and Forensic Medicine 177
  • Pulmonary and Respiratory Medicine 241
Replace Matthew G. Davey with:
Matthew G. Davey Ireland
Yuting He China
Nikolaos V. Michalopoulos Greece
Neil Sharma United Kingdom
R.E. Mansel United Kingdom
Timothy L. Frankel United States
Shogo Nakano Japan
Yuka Asano Japan
Jan Trøst Jørgensen Denmark
Yiyao Xu China
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Citations per year

Countries citing papers authored by Ki‐Tae Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Tae Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki‐Tae Hwang. 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 Ki‐Tae Hwang. The network helps show where Ki‐Tae Hwang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018119
2 200884
3 201778
4 200971
5 201762
6 200656
7 200156
8 201252
9 201148
10 200837
11 200836
12 201230
13 200928
14 200726
15 202021
16 202021
17 202120
18 201919
19 201719
20 202018

About Ki‐Tae Hwang

Ki‐Tae Hwang is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Surgery and Genetics, having authored 110 papers that have together received 1.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (36 papers), Breast Lesions and Carcinomas (15 papers), Cancer Genomics and Diagnostics (14 papers), HER2/EGFR in Cancer Research (10 papers), Estrogen and related hormone effects (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Cancer Risks and Factors (6 papers) and Global Cancer Incidence and Screening (5 papers). The work is most often cited by research in Cancer Research (499 citations), Oncology (511 citations), Gastroenterology (59 citations), Pathology and Forensic Medicine (177 citations) and Pulmonary and Respiratory Medicine (241 citations). Ki‐Tae Hwang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Jong-Jin Kim, Wonshik Han, Young A Kim, Sohee Oh, Young Jun Chai, Jung Kee Chung, Dong‐Young Noh, Jong Won Lee, Dong‐Young Noh and Seung Chul Heo. Their work appears in journals such as Breast Cancer Research and Treatment, Scientific Reports, Cancers, Journal of Korean Medical Science and Annals of Surgical Oncology.

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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