Bitna Kang

608 citations
15 papers · 440 · h-index 13

Impact in

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

Papers in

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

Bitna Kang

15 papers receiving 436 citations

Peers

Bitna Kang
Comparison fields: 5 of 86
  • Physiology 45
  • Pharmacology 52
  • Sensory Systems 22
  • Biological Psychiatry 8
  • Molecular Biology 218
Replace Yuan Chi with:
Yuan Chi Japan
David Chamorro Chile
Sofie Van Kelst Belgium
He‐Hsiung Cheng Taiwan
Sandhya Chipurupalli Australia
Xiaolin Han China
Jiangang Wang China
Kazuhisa Nishishita Japan
Stephanie Kadow Germany
Eileen Jea Chien Taiwan
Bitna Kang relative to Yuan Chi Japan Yuan Chi's profile →
Citations per field
00.5×3.7×
Yuan Chi · 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 201260
2 200657
3 201352
4 201240
5 201939
6 200135
7 201330
8 200030
9 201823
10 201020
11 202013
12 201213
13 200412
14 20149
15 20117

About Bitna Kang

Bitna Kang is a scholar working on Molecular Biology, Epidemiology, Pharmacology, Cellular and Molecular Neuroscience and Neurology, having authored 15 papers that have together received 440 indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (3 papers), Pharmacological Effects of Natural Compounds (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Neuropeptides and Animal Physiology (2 papers), Bone and Dental Protein Studies (2 papers) and Phytochemistry and biological activity of medicinal plants (2 papers). The work is most often cited by research in Physiology (45 citations), Pharmacology (52 citations), Sensory Systems (22 citations), Biological Psychiatry (8 citations) and Molecular Biology (218 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, Seung-Hee Chang, Im‐Sook Song, Kyeong‐Nam Yu, Seong‐Ho Hong, Si‐Yun Ryu, Sung‐Ho Kim, Sang‐Joon Park and Eun Ju Yang. Their work appears in journals such as Pharmaceutics, Biomaterials, Journal of Materials Chemistry B, Molecular Therapy and Regulatory Peptides.

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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