Tiebang Kang

14.0k citations
156 papers · 8.9k indexed · 3 hit papers · h-index 51
Topics
RNA modifications and cancer (30 papers)Epigenetics and DNA Methylation (23 papers)Cancer-related gene regulation (21 papers)

In The Last Decade

Tiebang Kang

151 papers receiving 8.8k citations

Hit Papers

Loss of FBP1 by Snail-Mediated Repression Provides Metabo...2013202620172021201320192020200400600

Peers

Tiebang Kang
Comparison fields: 5 of 138
  • Molecular Biology 6.3k
  • Cancer Research 3.4k
  • Oncology 2.4k
  • Immunology 832
  • Pulmonary and Respiratory Medicine 712
Replace Won Sang Park with:
Won Sang Park South Korea
Qimin Zhan China
Jochen Heß Germany
Carter Van Waes United States
Giovanni Melillo United States
Kristoffer Valerie United States
József Tı́már Hungary
Lopa Mishra United States
Alfonso Bellacosa United States
Ranju Ralhan India
Tiebang Kang relative to Won Sang Park South Korea Won Sang Park's profile →
Citations per field
00.5×
Won Sang Park · 1×
Citations per year

Countries citing papers authored by Tiebang Kang

Since Specialization
Citations

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

Fields of papers citing papers by Tiebang Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiebang Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Tiebang Kang. A scholar is included among the top collaborators of Tiebang Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tiebang Kang. Tiebang Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 11
3 5
4 10
5 52
6 40
7 23
8 30
9 19
10 47
11
Targeted nanoparticle-mediated LHPP for melanoma treatment
3
12 55
13 26
14 69
15 101
16 57
17 62
18 20
19 91
20
[Dynamic study of anti-NS5 and ALT in post-transfusion hepatitis C].
1

About Tiebang Kang

Tiebang Kang is a scholar working on Cancer Research, Oncology and Otorhinolaryngology, having authored 156 papers that have together received 8.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (30 papers), Epigenetics and DNA Methylation (23 papers) and Cancer-related gene regulation (21 papers). The work is most often cited by research in Cancer Research (3.4k citations), Molecular Biology (6.3k citations) and Oncology (2.4k citations). Tiebang Kang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ruhua Zhang, Yuanzhong Wu, Binhua P. Zhou, Yi-Xin Zeng, Duanqing Pei, Dan Liao, Wuguo Deng, Li Zhong, Xin Wang and Dingbo Shi. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

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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