Chang-Sub Uhm

1.1k citations
18 papers · 860 · h-index 12

Impact in

Papers in

Chang-Sub Uhm

18 papers receiving 837 citations

Peers

Chang-Sub Uhm
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 385
  • Cancer Research 189
  • Cellular and Molecular Neuroscience 121
  • Cell Biology 96
  • Endocrinology, Diabetes and Metabolism 88
Replace A Moriguchi with:
A Moriguchi Japan
Andrea Vettori Italy
Silvia Casagrande Italy
Peter Ghenev Bulgaria
Françoise Wilkin Belgium
Hiroyuki Awano Japan
Lucia Mičutková Slovakia
Yoshifumi Kawanabe Japan
Jonathan T. Lu United States
Alexey Pereverzev Germany
Chang-Sub Uhm relative to A Moriguchi Japan A Moriguchi's profile →
Citations per field
00.5×6.2×
A Moriguchi · 1×
Citations per year

Countries citing papers authored by Chang-Sub Uhm

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Sub Uhm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Sub Uhm. 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-Sub Uhm. The network helps show where Chang-Sub Uhm may publish in the future.

Co-authors

The 25 scholars most cited alongside Chang-Sub Uhm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chang-Sub Uhm Line = papers co-authored together Chang-Sub Uhm links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2000237
2 1999186
3 199898
4 201855
5 199942
6 199941
7 200039
8 200134
9 200328
10 200324
11 201616
12 201013
13 200811
14 200810
15 20117
16 20067
17 20106
18 19986

About Chang-Sub Uhm

Chang-Sub Uhm is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 860 indexed citations. Recurring topics across this work include Nerve injury and regeneration (2 papers), Neonatal and fetal brain pathology (2 papers), Genetic Neurodegenerative Diseases (2 papers), Cellular Mechanics and Interactions (2 papers), Lipid metabolism and disorders (2 papers), Muscle Physiology and Disorders (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (385 citations), Cancer Research (189 citations), Cellular and Molecular Neuroscience (121 citations), Cell Biology (96 citations) and Endocrinology, Diabetes and Metabolism (88 citations). Chang-Sub Uhm has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hyun Kim, Injune Kim, Gou Young Koh, Sung Kwang Park, Zang Hee Lee, Hong-Hee Kim, Im Joo Rhyu, Mathew P. Daniels, Keum Nim Koh and Nam-Gyun Kim. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Ultramicroscopy, Journal of Neuroscience, Circulation Research and Biochemical Journal.

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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