Daegan Sit

14 papers receiving 455 citations

Peers

Daegan Sit
Comparison fields: 5 of 64
  • Public Health, Environmental and Occupational Health 178
  • Cardiology and Cardiovascular Medicine 82
  • Ecology 94
  • Physiology 71
  • Animal Science and Zoology 24
Replace Zyanya Reyes-Castillo with:
Zyanya Reyes-Castillo Mexico
Alice Sereni Italy
Jakub G. Sobiecki United Kingdom
Persio D. López United States
Zbigniew Celewicz Poland
JA Gaines United States
Lisa Jackman United States
Daegan Sit relative to Zyanya Reyes-Castillo Mexico Zyanya Reyes-Castillo's profile →
Citations per field
00.5×5.1×
Zyanya Reyes-Castillo · 1×
Citations per year

Countries citing papers authored by Daegan Sit

Since Specialization
Citations

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

Fields of papers citing papers by Daegan Sit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daegan Sit, 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 Daegan Sit Line = papers co-authored together Daegan Sit links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2019126
2 2019105
3 201692
4 201983
5 198324
6 198121
7 20216
8 20215
9 20215
10 20222
11 20212
12
Effect of Lower Versus Higher Red Meat Intake on Cardiometabolic and Cancer Outcomes
20192
13 19812
14 20191
15 20250

About Daegan Sit

Daegan Sit is a scholar working on Public Health, Environmental and Occupational Health, Surgery, Pathology and Forensic Medicine, Infectious Diseases and Molecular Biology, having authored 15 papers that have together received 476 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (3 papers), Management of metastatic bone disease (2 papers), Dye analysis and toxicity (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Nerve injury and regeneration (1 paper), Ophthalmology and Eye Disorders (1 paper), Peripheral Neuropathies and Disorders (1 paper) and Infectious Encephalopathies and Encephalitis (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (178 citations), Cardiology and Cardiovascular Medicine (82 citations), Ecology (94 citations), Physiology (71 citations) and Animal Science and Zoology (24 citations). Daegan Sit has collaborated with scholars based in Canada, United States and Poland. Frequent co-authors include Gordon Guyatt, Regina El Dib, Małgorzata M Bała, Robin W.M. Vernooij, Bradley C. Johnston, Mi Ah Han, Pablo Alonso‐Coello, Claudia Valli, Max Zworth and Dena Zeraatkar. Their work appears in journals such as Annals of Internal Medicine, Journal of Neurology, International Journal of Radiation Oncology*Biology*Physics, Clinical Oncology and JNCI Journal of the National Cancer Institute.

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