Bo-Rim Yi

1.2k citations
26 papers · 861 · h-index 19

Impact in

Papers in

    • Cancer Cells and Metastasis 10
    • Estrogen and related hormone effects 6
    • Virus-based gene therapy research 5

Bo-Rim Yi

26 papers receiving 851 citations

Peers

Bo-Rim Yi
Comparison fields: 5 of 95
  • Health, Toxicology and Mutagenesis 140
  • Dermatology 77
  • Oncology 197
  • Cancer Research 86
  • Genetics 154
Replace Guang Yan with:
Guang Yan United States
Xiuwei Tang United States
Kouya Yamaki Japan
Eisaku Ogawa Japan
Katsumi Fukamachi Japan
Miki Tsujita‐Kyutoku Japan
Peng Lv China
Sallie S. Schneider United States
Akiko Enomoto Japan
Bo-Rim Yi relative to Guang Yan United States Guang Yan's profile →
Citations per field
00.5×3.6×
Guang Yan · 1×
Citations per year

Countries citing papers authored by Bo-Rim Yi

Since Specialization
Citations

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

Fields of papers citing papers by Bo-Rim Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo-Rim Yi. 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 Bo-Rim Yi. The network helps show where Bo-Rim Yi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201498
2 201189
3 201368
4 201457
5 201356
6 201251
7 201148
8 201239
9 201136
10 201335
11 201431
12 201229
13 201328
14 201427
15
Antitumor therapeutic effects of cytosine deaminase and interferon-β against endometrial cancer cells using genetically engineered stem cells in vitro.
201125
16 201523
17 201222
18 201322
19 201120
20 201517

About Bo-Rim Yi

Bo-Rim Yi is a scholar working on Oncology, Genetics, Molecular Biology, Biotechnology and Neurology, having authored 26 papers that have together received 861 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Estrogen and related hormone effects (6 papers), Cancer Research and Treatments (5 papers), Virus-based gene therapy research (5 papers), Neuroblastoma Research and Treatments (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (140 citations), Dermatology (77 citations), Oncology (197 citations), Cancer Research (86 citations) and Genetics (154 citations). Bo-Rim Yi has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Kyung‐Chul Choi, Kyung‐A Hwang, Seung Up Kim, Hye-Rim Lee, Nam-Hee Kang, Eui‐Bae Jeung, Ye-Seul Kim, Nam‐Hyung Kim, Sehyung Park and Kelvin Choi. Their work appears in journals such as International Journal of Oncology, Oncotarget, Molecules and Cells, Environmental Toxicology and Pharmacology and Toxicological Research.

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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