Gang Han

1.3k citations
57 papers · 1.0k indexed · h-index 19
Topics
Muscle Physiology and Disorders (13 papers)RNA Interference and Gene Delivery (8 papers)MicroRNA in disease regulation (6 papers)

In The Last Decade

Gang Han

56 papers receiving 988 citations

Peers

Gang Han
Comparison fields: 5 of 102
  • Molecular Biology 685
  • Cancer Research 218
  • Oncology 115
  • Immunology 93
  • Genetics 88
Replace Hee‐Jin Kwak with:
Hee‐Jin Kwak South Korea
Hans Kaiser United States
Holly Martin United States
Hara Kang South Korea
Monica Evangelista Italy
Francesco Morelli Italy
Elena Grigorieva United Kingdom
Patricia Fernández‐Puente Spain
Tsuyoshi Yamashita Japan
Chunhui Ma China
Gang Han relative to Hee‐Jin Kwak South Korea Hee‐Jin Kwak's profile →
Citations per field
00.5×3.5×
Hee‐Jin Kwak · 1×
Citations per year

Countries citing papers authored by Gang Han

Since Specialization
Citations

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

Fields of papers citing papers by Gang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Han. A scholar is included among the top collaborators of Gang Han 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 Gang Han. Gang Han 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 15
2 4
3 1
4 13
5 13
6 25
7 7
8 8
9 10
10 40
11 21
12 5
13 59
14 14
15 31
16
Application of molecular marker in fishery stock enhancement
1
17
Regional water consumption control based on technical efficiency of water resources utilization
0
18
Toxic effects of Panax notoginseng saponins on cardiac hemodynamics in rats
2
19
Study on the Method of Identification of Sedimentary Microfacies Using Well Logging Data
2
20 39

About Gang Han

Gang Han is a scholar working on Molecular Medicine, Cancer Research and Molecular Biology, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), RNA Interference and Gene Delivery (8 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Cancer Research (218 citations), Molecular Biology (685 citations) and Paleontology (46 citations). Gang Han has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include HaiFang Yin, Yidong Wang, Wenzhi Bi, Yan Wang, Xianjun Gao, Kun Liu, Limin Cao, Xue Dong, Qingsong Wang and Anusuya Chinsamy. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

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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