Sehee Kim
Impact in
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- Regulation of Appetite and Obesity
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Regulation of Appetite and Obesity 7
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- Statistical Methods and Inference 8
- Co-authors
- Seungjoon ParkMinho MoonLakkyong HwangHyunju ChungSeunggeun LeeLynda D. LisabethDonna SpiegelmanJonathan Boss
- Journals
- Stroke (7 papers)Biometrics (5 papers)European Radiology (4 papers)Sleep Medicine (3 papers)Statistics in Medicine (3 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Sehee Kim
86 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 139
- Endocrine and Autonomic Systems 360
- Developmental Neuroscience 110
- Neurology 294
- Neurology 137
- Physiology 415
Countries citing papers authored by Sehee Kim
This map shows the geographic impact of Sehee Kim'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 Sehee Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sehee Kim more than expected).
Fields of papers citing papers by Sehee Kim
This network shows the impact of papers produced by Sehee Kim. 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 Sehee Kim. The network helps show where Sehee Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sehee Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 46 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 42 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 57 | |
| 17 | The Predictive Power of Self-Regulated Learning, Teaching Presence, and Perceived Interaction on the Outcomes of Google Plus-based Project Learning | 2015 | 2 |
| 18 | Relationship between Menopause, Anxiety Symptoms and Perceived Oral Symptoms in Menopausal Woman | 2013 | 1 |
| 19 | A Case of Cutaneous Horn Arising from Angiokeratoma in Infancy | 2007 | 1 |
| 20 | A Case of Henoch-Sch nlein Purpura with Gastrointestinal Hemorrhage Diagnosed by Renal Biopsy. | 2002 | 0 |
About Sehee Kim
Sehee Kim is a scholar working on Endocrine and Autonomic Systems, Statistics and Probability, Developmental Neuroscience, Hepatology and Rehabilitation, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Regulation of Appetite and Obesity (7 papers), Adipose Tissue and Metabolism (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Acute Ischemic Stroke Management (6 papers), Stroke Rehabilitation and Recovery (5 papers), Obstructive Sleep Apnea Research (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (360 citations), Developmental Neuroscience (110 citations), Neurology (294 citations), Neurology (137 citations) and Physiology (415 citations). Sehee Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Seungjoon Park, Minho Moon, Lakkyong Hwang, Hyunju Chung, Seunggeun Lee, Lynda D. Lisabeth, Donna Spiegelman, Jonathan Boss, Yumi Kim and Lewis B. Morgenstern. Their work appears in journals such as Stroke, Biometrics, European Radiology, Sleep Medicine and Statistics in Medicine.
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.