Samuel M. Cadena

1.8k citations
20 papers · 1.4k indexed · 2 hit papers · h-index 13
Topics
Muscle Physiology and Disorders (8 papers)Spaceflight effects on biology (6 papers)Muscle metabolism and nutrition (6 papers)

In The Last Decade

Samuel M. Cadena

20 papers receiving 1.4k citations

Hit Papers

GDF11 Increases with Age and Inhibits Skeletal Muscle Reg...201420262018202220152014100200300400

Peers

Samuel M. Cadena
Comparison fields: 5 of 110
  • Molecular Biology 797
  • Physiology 575
  • Genetics 288
  • Hematology 263
  • Rheumatology 217
Replace Danika Khong with:
Danika Khong United States
Estelle Lach‐Trifilieff Switzerland
Adam J. Hartigan United States
Christian Kühn Germany
Angelika Meyer Switzerland
Christine M. Miller United States
Alessio Palini Italy
Marc A. Egerman United States
Ioanna Mosialou United States
Katarzyna Goljanek‐Whysall United Kingdom
Samuel M. Cadena relative to Danika Khong United States Danika Khong's profile →
Citations per field
00.5×2.8×
Danika Khong · 1×
Citations per year

Countries citing papers authored by Samuel M. Cadena

Since Specialization
Citations

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

Fields of papers citing papers by Samuel M. Cadena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel M. Cadena. 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 Samuel M. Cadena. The network helps show where Samuel M. Cadena may publish in the future.

Co-authorship network of co-authors of Samuel M. Cadena

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel M. Cadena. A scholar is included among the top collaborators of Samuel M. Cadena 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 Samuel M. Cadena. Samuel M. Cadena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 10
4 12
5 35
6 1
7 67
8 56
9 43
10 26
11 71
12
GDF11 Increases with Age and Inhibits Skeletal Muscle Regenerationbreakdown →
407
13 10
14
Transforming growth factor-β superfamily ligand trap ACE-536 corrects anemia by promoting late-stage erythropoiesisbreakdown →
346
15 42
16 1
17 3
18 112
19 80
20 57

About Samuel M. Cadena

Samuel M. Cadena is a scholar working on Aging, Hematology and Physiology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Spaceflight effects on biology (6 papers) and Muscle metabolism and nutrition (6 papers). The work is most often cited by research in Aging (112 citations), Genetics (288 citations) and Hematology (263 citations). Samuel M. Cadena has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include David J. Glass, R. Scott Pearsall, Kathryn Underwood, Ravindra Kumar, Estelle Lach‐Trifilieff, Sophie Brachat, Anne‐Ulrike Trendelenburg, Marc A. Egerman, Shenglin Ma and Angelika Meyer. Their work appears in journals such as Nature Medicine, Blood and American Journal of Clinical Nutrition.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026