Daniel Tiller

1.8k citations
43 papers · 774 indexed · h-index 15

Impact in

Papers in

Daniel Tiller

42 papers receiving 755 citations

Peers

Daniel Tiller
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 187
  • Cardiology and Cardiovascular Medicine 247
  • General Health Professions 141
  • Health 38
  • Physiology 109
Replace Crystal C. Tyson with:
Crystal C. Tyson United States
Maria de Fátima Haueisen Sander Diniz Brazil
Satya Mohapatra India
Suh-Yuh Wu United States
Qinghua Ma China
J C Konen United States
Agnieszka Olszanecka Poland
Gabriel Giménez‐Pérez Spain
Man Ki Kwok Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Tiller

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201598
2 201596
3 201366
4 201641
5 201936
6 201334
7 201431
8 201231
9 201729
10 201626
11 201125
12 201322
13 201622
14 201220
15 201917
16 201414
17 201414
18 201814
19 201912
20 201912

About Daniel Tiller

Daniel Tiller is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 43 papers that have together received 774 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (6 papers), Health and Medical Studies (5 papers), Blood Pressure and Hypertension Studies (5 papers), Diet and metabolism studies (5 papers), Cardiovascular Function and Risk Factors (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Heart Rate Variability and Autonomic Control (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (187 citations), Cardiology and Cardiovascular Medicine (247 citations), General Health Professions (141 citations), Health (38 citations) and Physiology (109 citations). Daniel Tiller has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Alexander Kluttig, Johannes Haerting, Karin Halina Greiser, Karl Werdan, Beatrice Herzog, María Elena Lacruz, Sebastian Nuding, Daniel Medenwald, Saskia Hartwig and Joachim Thiery. Their work appears in journals such as PLoS ONE, Thyroid, Medicine, BMC Public Health and EP Europace.

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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