Henry S. Simms

1.7k citations
11 papers · 468 · h-index 7

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Dietary Effects on Health
    • Biochemical effects in animals

Papers in

    • Dietary Effects on Health 2
    • Pain Mechanisms and Treatments 1
    • Diet and metabolism studies 1
    • Genetics, Aging, and Longevity in Model Organisms 4

Henry S. Simms

10 papers receiving 404 citations

Peers

Henry S. Simms
Comparison fields: 5 of 84
  • Aging 157
  • Physiology 218
  • Endocrine and Autonomic Systems 41
  • Behavioral Neuroscience 18
  • Nephrology 32
Replace Lois M. Roeder with:
Lois M. Roeder United States
G. Sperling United States
Scott T. Baum United States
Kay E. Cheney United States
Steven J. Lingard United Kingdom
Steven Hauck United States
Melissa Han United States
Derek M. Huffman United States
Osamu Ebisui Japan
Christine Ansell United States
Henry S. Simms relative to Lois M. Roeder United States Lois M. Roeder's profile →
Citations per field
00.5×5.3×
Lois M. Roeder · 1×
Citations per year

Countries citing papers authored by Henry S. Simms

Since Specialization
Citations

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

Fields of papers citing papers by Henry S. Simms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henry S. Simms. 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 Henry S. Simms. The network helps show where Henry S. Simms may publish in the future.

Co-authors

The 8 scholars most cited alongside Henry S. Simms, 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 Henry S. Simms Line = papers co-authored together Henry S. Simms links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1960235
2 195768
3 196159
4 196259
5
Nutrition, onset of disease, and longevity in the rat.
196520
6
Longevity in relation to lesion onset.
196211
7 19637
8 19626
9 19521
10 19521
11 19661

About Henry S. Simms

Henry S. Simms is a scholar working on Physiology, Aging, Pediatrics, Perinatology and Child Health, Surgery and Pathology and Forensic Medicine, having authored 11 papers that have together received 468 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Birth, Development, and Health (3 papers), Dietary Effects on Health (2 papers), Cardiovascular Health and Risk Factors (1 paper), Spine and Intervertebral Disc Pathology (1 paper), Pain Mechanisms and Treatments (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Diet and metabolism studies (1 paper). The work is most often cited by research in Aging (157 citations), Physiology (218 citations), Endocrine and Autonomic Systems (41 citations), Behavioral Neuroscience (18 citations) and Nephrology (32 citations). Henry S. Simms has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include B. N. Berg, Abner Wolf, Arthur V. Everitt, Charles R. Harmison, N. W. Shock, V. Korenchevsky, A. J. Carlson and Kenneth J. Franklin. Their work appears in journals such as Journal of Nutrition, Gerontology, Angiology, PubMed and Journal of Gerontology.

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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