Dam Bae

470 citations
6 papers · 234 · 1 hit paper · h-index 5

Impact in

    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Exercise and Physiological Responses

Papers in

Dam Bae

5 papers receiving 232 citations

Dam Bae's Hit Papers

Temporal dynamics of the multi-omic response to endurance exercise training 2024 · 152 citations
1520+1Years since publication50100150

Peers

Dam Bae
Comparison fields: 5 of 60
  • Physiology 94
  • Rehabilitation 22
  • Complementary and alternative medicine 19
  • Cell Biology 40
  • Aging 4
Replace Mital Vasoya with:
Mital Vasoya United States
Christopher Teng United States
Tyler J. Sagendorf United States
Michael F. Hirshman United States
Christopher A. Jin United States
Clarisa Chavez United States
Xueyun Liu China
Étore De Favari Signini Brazil
Cadence Pearce United States
Sonia Conde Alonso Switzerland
Dam Bae relative to Mital Vasoya United States Mital Vasoya's profile →
Citations per field
00.5×1.5×
Mital Vasoya · 1×
Citations per year

Countries citing papers authored by Dam Bae

Since Specialization
Citations

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

Fields of papers citing papers by Dam Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dam Bae. 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 Dam Bae. The network helps show where Dam Bae may publish in the future.

Co-authors

The 14 scholars most cited alongside Dam Bae, 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 Dam Bae Line = papers co-authored together Dam Bae links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Temporal dynamics of the multi-omic response to endurance exercise training
Hit paper breakdown →
2024152
2 201934
3 202422
4 202417
5 20229
6 20260

About Dam Bae

Dam Bae is a scholar working on Physiology, Complementary and alternative medicine, Cell Biology, Rehabilitation and Endocrine and Autonomic Systems, having authored 6 papers that have together received 234 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Muscle metabolism and nutrition (2 papers), Cardiovascular and exercise physiology (2 papers), Liver Disease Diagnosis and Treatment (1 paper), Exercise and Physiological Responses (1 paper), Muscle Physiology and Disorders (1 paper), Birth, Development, and Health (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Physiology (94 citations), Rehabilitation (22 citations), Complementary and alternative medicine (19 citations), Cell Biology (40 citations) and Aging (4 citations). Dam Bae has collaborated with scholars based in United States and Brazil. Frequent co-authors include Luís Gustavo Oliveira de Sousa, Vitor Agnew Lira, Sue C. Bodine, Ling Yang, Christopher M. Adams, Scott Matthew Ebert, Estêvão Scudese, Darren P. Casey, Satoshi Hanada and Ethan J. Anderson. Their work appears in journals such as Cell Reports, The FASEB Journal, Nutrients, Cell Genomics and Nature.

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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