Eun‐Sang Ji
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Psychiatry and Mental health top 10%
- Molecular Biology
- Developmental Neuroscience top 5%
- Co-authors
- Chang‐Ju KimTae-Woon KimMal‐Soon ShinTae-Beom SeoIl‐Gyu KoJae Min LeeSung‐Eun KimBo-Kyun Kim
- Topics
- Neurogenesis and neuroplasticity mechanisms (15 papers)Nerve injury and regeneration (8 papers)Attention Deficit Hyperactivity Disorder (5 papers)
- Partner nations
- South KoreaBahrainUnited States
In The Last Decade
Eun‐Sang Ji
29 papers receiving 683 citations
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 189
- Cognitive Neuroscience 153
- Psychiatry and Mental health 146
- Molecular Biology 137
- Developmental Neuroscience 136
Countries citing papers authored by Eun‐Sang Ji
This map shows the geographic impact of Eun‐Sang Ji'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 Eun‐Sang Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun‐Sang Ji more than expected).
Fields of papers citing papers by Eun‐Sang Ji
This network shows the impact of papers produced by Eun‐Sang Ji. 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 Eun‐Sang Ji. The network helps show where Eun‐Sang Ji may publish in the future.
Co-authorship network of co-authors of Eun‐Sang Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Sang Ji. A scholar is included among the top collaborators of Eun‐Sang Ji 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 Eun‐Sang Ji. Eun‐Sang Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 9 | |
| 3 | 28 | |
| 4 | 21 | |
| 5 | 18 | |
| 6 | 15 | |
| 7 | 11 | |
| 8 | 24 | |
| 9 | 12 | |
| 10 | 23 | |
| 11 | 24 | |
| 12 | 15 | |
| 13 | 28 | |
| 14 | 19 | |
| 15 | 34 | |
| 16 | 13 | |
| 17 | 58 | |
| 18 | Effects of Various Exercise Intensities on Cerebral Blood Flow Velocity, Pulsatility Index, O2 uptake in Judo Athletes | 1 |
| 19 | Short-Term Repeated Treadmill Exercise More Potently Increases Cell Proliferation and Brain-Derived Neurotrophic Factor Expression in the Hippocampus of Rats | 0 |
| 20 | Effects of treadmill exercise on the 5-hydroxytryptamine synthesis and tryptophan hydroxylase expression in the dorsal raphe of the rats with streptozotocin-induced Alzheimer’s disease | 0 |
About Eun‐Sang Ji
Eun‐Sang Ji is a scholar working on Developmental Neuroscience, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 696 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (15 papers), Nerve injury and regeneration (8 papers) and Attention Deficit Hyperactivity Disorder (5 papers). The work is most often cited by research in Developmental Neuroscience (136 citations), Behavioral Neuroscience (74 citations) and Biological Psychiatry (44 citations). Eun‐Sang Ji has collaborated with scholars based in South Korea, Bahrain and United States. Frequent co-authors include Chang‐Ju Kim, Tae-Woon Kim, Mal‐Soon Shin, Tae-Beom Seo, Il‐Gyu Ko, Jae Min Lee, Sung‐Eun Kim, Bo-Kyun Kim, Seung‐Soo Baek and Baek‐Vin Lim. Their work appears in journals such as Life Sciences, Neuroscience Letters and Molecular Medicine Reports.
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.