Bitna Kang

617 citations
15 papers · 458 · h-index 12

Impact in

  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism
  • Pharmacology top 10%
    • Pharmacological Effects of Natural Compounds

Papers in

    • RNA Interference and Gene Delivery 3
    • Ginseng Biological Effects and Applications 3
    • Advanced biosensing and bioanalysis techniques 2
    • Autophagy in Disease and Therapy 2

Bitna Kang

15 papers receiving 451 citations

Peers

Bitna Kang
Comparison fields: 5 of 83
  • Physiology 44
  • Pharmacology 48
  • Sensory Systems 21
  • Health, Toxicology and Mutagenesis 40
  • Molecular Biology 197
Replace Federica Baldassari with:
Federica Baldassari Italy
Xue Sun China
Baixia Hao Hong Kong
Sofie Van Kelst Belgium
Stephanie Kadow Germany
Yuan Chi Japan
Kazuhisa Nishishita Japan
Anna Romagnoli Italy
Sandhya Chipurupalli Australia
Jiangang Wang China
Bitna Kang relative to Federica Baldassari Italy Federica Baldassari's profile →
Citations per field
00.5×3.4×
Federica Baldassari · 1×
Citations per year

Countries citing papers authored by Bitna Kang

Since Specialization
Citations

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

Fields of papers citing papers by Bitna Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bitna Kang. 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 Bitna Kang. The network helps show where Bitna Kang may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201261
2 200659
3 201357
4 201242
5 201941
6 200135
7 200030
8 201330
9 201824
10 201023
11 201214
12 202014
13 200411
14 20149
15 20118

About Bitna Kang

Bitna Kang is a scholar working on Molecular Biology, Epidemiology, Pharmacology, Neurology and Rheumatology, having authored 15 papers that have together received 458 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (3 papers), RNA Interference and Gene Delivery (3 papers), Ginseng Biological Effects and Applications (3 papers), Bone and Dental Protein Studies (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Phytochemistry and biological activity of medicinal plants (2 papers), Autophagy in Disease and Therapy (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Physiology (44 citations), Pharmacology (48 citations), Sensory Systems (21 citations), Health, Toxicology and Mutagenesis (40 citations) and Molecular Biology (197 citations). Bitna Kang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Myung‐Haing Cho, Arash Minai‐Tehrani, Kyeong‐Nam Yu, Im‐Sook Song, Seung-Hee Chang, Seong‐Ho Hong, Sang‐Joon Park, Si‐Yun Ryu, Sung‐Ho Kim and Min-Koo Choi. Their work appears in journals such as Pharmaceutics, PLoS ONE, Lung Cancer, Molecular Therapy and Biomaterials.

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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