Beum Jun Kim

955 citations
24 papers · 773 · h-index 16

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • 3D Printing in Biomedical Research
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Microfluidic and Bio-sensing Technologies

Papers in

Beum Jun Kim

24 papers receiving 761 citations

Peers

Beum Jun Kim
Comparison fields: 5 of 103
  • Cell Biology 167
  • Biomedical Engineering 377
  • Oncology 196
  • Molecular Biology 280
  • Molecular Medicine 19
Replace Baoyuan Zhang with:
Baoyuan Zhang China
Mengwen Zhang China
Fengming Zou China
Christian Chapa González Mexico
Vadim Kumeiko Russia
Jinfeng Wang China
Susana Prieto Spain
Minyu Zhou China
Yajuan Guo China
Beum Jun Kim relative to Baoyuan Zhang China Baoyuan Zhang's profile →
Citations per field
00.5×10×20×29×
Baoyuan Zhang · 1×
Citations per year

Countries citing papers authored by Beum Jun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Beum Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201496
2 201390
3 201184
4 201563
5 200460
6 200945
7 201841
8 201336
9 200536
10 201331
11 200729
12 201226
13 201624
14 200618
15 200617
16 201515
17 201514
18 201612
19 201111
20 20098

About Beum Jun Kim

Beum Jun Kim is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Cell Biology and Condensed Matter Physics, having authored 24 papers that have together received 773 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (9 papers), Cancer Cells and Metastasis (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Cellular Mechanics and Interactions (3 papers), Micro and Nano Robotics (3 papers), Plant tissue culture and regeneration (3 papers), Plant-Microbe Interactions and Immunity (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Cell Biology (167 citations), Biomedical Engineering (377 citations), Oncology (196 citations), Molecular Biology (280 citations) and Molecular Medicine (19 citations). Beum Jun Kim has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Mingming Wu, Michael L. Shuler, Donna M. Gibson, Kim Ys, Chih-kuan Tung, Pimkhuan Hannanta‐anan, Melody A. Swartz, Michelle M. Chau, Minglin Ma and Wei Song. Their work appears in journals such as Biotechnology Progress, Biotechnology and Bioengineering, PLoS ONE, Biotechnology Letters and Integrative Biology.

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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