Chang Man Ha

970 citations
40 papers · 736 indexed · h-index 16
Topics
Genetics, Aging, and Longevity in Model Organisms (7 papers)Axon Guidance and Neuronal Signaling (6 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)

In The Last Decade

Chang Man Ha

40 papers receiving 733 citations

Peers

Chang Man Ha
Comparison fields: 5 of 85
  • Molecular Biology 343
  • Cellular and Molecular Neuroscience 182
  • Aging 157
  • Physiology 139
  • Cell Biology 81
Replace Eva Teuling with:
Eva Teuling Netherlands
Andrzej Z. Pietrzykowski United States
Johnna Doherty United States
Kenneth R. Norman United States
Michael E. Geusz United States
Athanasios Zovoilis Canada
Ruth E. Thomas United States
Zhitao Hu United States
Daisuke Tsuboi Japan
Stylianos Kosmidis United States
Chang Man Ha relative to Eva Teuling Netherlands Eva Teuling's profile →
Citations per field
00.5×3.3×
Eva Teuling · 1×
Citations per year

Countries citing papers authored by Chang Man Ha

Since Specialization
Citations

This map shows the geographic impact of Chang Man 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 Man 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 Man Ha more than expected).

Fields of papers citing papers by Chang Man Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Man Ha. A scholar is included among the top collaborators of Chang Man 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 Man Ha. Chang Man 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 3
2 12
3 2
4 7
5 12
6 6
7 55
8 9
9 27
10 15
11 64
12 10
13 57
14 36
15 25
16 18
17 25
18 35
19 5
20 15

About Chang Man Ha

Chang Man Ha is a scholar working on Aging, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 736 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Axon Guidance and Neuronal Signaling (6 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Aging (157 citations), Endocrine and Autonomic Systems (78 citations) and Cellular and Molecular Neuroscience (182 citations). Chang Man Ha has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Byung Ju Lee, Youngjae Ryu, Seung‐Jae Lee, Eun Jung Choi, Sunghoe Chang, Jungil Choi, Wan Sung Choi, Wooseon Hwang, Dong-Yeop Lee and Hyung‐Jun Kim. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Genes & Development.

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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