Chang-Sub Uhm

1.1k citations
18 papers · 893 · h-index 13

Impact in

Papers in

Chang-Sub Uhm

18 papers receiving 866 citations

Peers

Chang-Sub Uhm
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 376
  • Cancer Research 159
  • Cellular and Molecular Neuroscience 126
  • Cell Biology 93
  • Molecular Biology 331
Replace Andrea Vettori with:
Andrea Vettori Italy
Ya–Yuan Fu United States
Willem J. de Lange United States
Yoshifumi Kawanabe Japan
Françoise Wilkin Belgium
Johanna Schneider Germany
Tamar Harel Israel
Lucia Mičutková Slovakia
Berkley R. Powell United States
Jeffrey M. Sequeira United States
Chang-Sub Uhm relative to Andrea Vettori Italy Andrea Vettori's profile →
Citations per field
00.5×1.5×1.8×
Andrea Vettori · 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 2000240
2 1999187
3 1998100
4 201865
5 199945
6 199942
7 200041
8 200135
9 200329
10 200325
11 201618
12 201015
13 200812
14 200811
15 20068
16 20117
17 20107
18 19986

About Chang-Sub Uhm

Chang-Sub Uhm is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Surgery, having authored 18 papers that have together received 893 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (2 papers), Cellular Mechanics and Interactions (2 papers), Muscle Physiology and Disorders (2 papers), Nerve injury and regeneration (2 papers), Lipid metabolism and disorders (2 papers), Electrochemical Analysis and Applications (1 paper), Orthopedic Surgery and Rehabilitation (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (376 citations), Cancer Research (159 citations), Cellular and Molecular Neuroscience (126 citations), Cell Biology (93 citations) and Molecular Biology (331 citations). Chang-Sub Uhm has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hyun Kim, Gou Young Koh, Injune Kim, Hong-Hee Kim, Zang Hee Lee, Sung Kwang Park, Im Joo Rhyu, Mathew P. Daniels, Nam-Gyun Kim and Keum Nim Koh. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, PROTEOMICS, Digestive Diseases and Sciences, Ultramicroscopy and Circulation Research.

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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