Chang Hoon Ha

1.6k citations
40 papers · 1.3k indexed · h-index 20
Topics
Histone Deacetylase Inhibitors Research (9 papers)Angiogenesis and VEGF in Cancer (7 papers)MicroRNA in disease regulation (5 papers)

In The Last Decade

Chang Hoon Ha

40 papers receiving 1.3k citations

Peers

Chang Hoon Ha
Comparison fields: 5 of 120
  • Molecular Biology 818
  • Cancer Research 162
  • Physiology 159
  • Oncology 135
  • Cardiology and Cardiovascular Medicine 125
Replace Maria Cristina Vinci with:
Maria Cristina Vinci Italy
Larissa Lipskaia France
Myeong-Sok Lee South Korea
Ching‐Yi Tsai Taiwan
Tina C. Wan United States
Megan Bonney United States
Jaime A. Espinoza Chile
Babett Bartling Germany
Gang Tan China
Chang Hoon Ha relative to Maria Cristina Vinci Italy Maria Cristina Vinci's profile →
Citations per field
00.5×1.5×
Maria Cristina Vinci · 1×
Citations per year

Countries citing papers authored by Chang Hoon Ha

Since Specialization
Citations

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

Fields of papers citing papers by Chang Hoon Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang Hoon Ha. 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 Chang Hoon Ha. The network helps show where Chang Hoon Ha may publish in the future.

Co-authorship network of co-authors of Chang Hoon Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Hoon Ha. A scholar is included among the top collaborators of Chang Hoon Ha 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 Chang Hoon Ha. Chang Hoon Ha 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 1
2 1
3 4
4 15
5 13
6 51
7 38
8 4
9 9
10 37
11 15
12 12
13 24
14 23
15 26
16 23
17 54
18 139
19
Experimental Investigation of Relation between Information Flow of Diagnosis Tasks and Workload
1
20
Production of O-GlcNAc modified recombinant proteins in Escherichia coli
10

About Chang Hoon Ha

Chang Hoon Ha is a scholar working on Cancer Research, Molecular Biology and Toxicology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (9 papers), Angiogenesis and VEGF in Cancer (7 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Molecular Biology (818 citations), Cancer Research (162 citations) and Endocrine and Autonomic Systems (69 citations). Chang Hoon Ha has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Bong Sook Jhun, Zheng‐Gen Jin, Weiye Wang, Chelsea Wong, Xiangbin Xu, Zheng Gen Jin, Mukesh K. Jain, Timothy A. McKinsey, Eric N. Olson and Angelika Haußer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

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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