Daniel Siniawski

458 citations
40 papers · 298 · h-index 12

Impact in

Papers in

Daniel Siniawski

37 papers receiving 289 citations

Peers

Daniel Siniawski
Comparison fields: 5 of 54
  • Endocrinology, Diabetes and Metabolism 91
  • Cardiology and Cardiovascular Medicine 52
  • Surgery 102
  • Cancer Research 23
  • Biological Psychiatry 3
Replace Yuya Yokota with:
Yuya Yokota Japan
Emilie Duchêne France
Geng Liu China
Roa Harb United States
Paulo H. N. Harada Brazil
H.C. Geiss Germany
Josephine L.C. Anderson Netherlands
Chiara Di Pentima Italy
E. de Groot Netherlands
Wann Jia Loh Singapore
Daniel Siniawski relative to Yuya Yokota Japan Yuya Yokota's profile →
Citations per field
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Yuya Yokota · 1×
Citations per year

Countries citing papers authored by Daniel Siniawski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Siniawski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201842
2 202428
3 202024
4 201619
5 201618
6 201917
7 201113
8 201513
9 201113
10 202311
11 201711
12 202111
13 20199
14 20247
15 20147
16 20205
17 20125
18 20235
19 20224
20 20164

About Daniel Siniawski

Daniel Siniawski is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Epidemiology, having authored 40 papers that have together received 298 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Cardiovascular Health and Disease Prevention (4 papers), Cancer, Lipids, and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Lipid metabolism and disorders (3 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Global Public Health Policies and Epidemiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (91 citations), Cardiology and Cardiovascular Medicine (52 citations), Surgery (102 citations), Cancer Research (23 citations) and Biological Psychiatry (3 citations). Daniel Siniawski has collaborated with scholars based in Argentina, Spain and United Kingdom. Frequent co-authors include Walter Massón, Martín Lobo, Graciela Molinero, Juan Patricio Nogueira, Arturo Cagide, Juan Krauss, René Valéro, Alfredo M. Rodriguez–Granillo, Mariano Giorgi and Augusto Lavalle Cobo. Their work appears in journals such as Journal of clinical lipidology, European Heart Journal, Circulation, Diabetes & Metabolism and Journal of Cardiovascular Development and Disease.

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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