Daniel Tiller

1.8k citations
49 papers · 1.4k · h-index 19

Impact in

Papers in

Daniel Tiller

48 papers receiving 1.4k citations

Peers

Daniel Tiller
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 440
  • Cardiology and Cardiovascular Medicine 292
  • Aging 14
  • Genetics 214
  • Clinical Biochemistry 29
Replace Milton César Foss with:
Milton César Foss Brazil
Rebecca J. Song United States
Jan Lüdemann Germany
Jae Woong Sull South Korea
Maria Inês Reinert Azambuja Brazil
Anders Borglykke Denmark
Charlotte M. Boney United States
Astrid Zierer Germany
Jinhuai Meng United Kingdom
Dongxia Pan United Kingdom
Daniel Tiller relative to Milton César Foss Brazil Milton César Foss's profile →
Citations per field
00.5×2×2.8×
Milton César Foss · 1×
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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018224
2 2014178
3 2015103
4 201799
5 201598
6 201372
7 201644
8 201942
9 201238
10 201338
11 201737
12 201433
13 201633
14 201629
15 201126
16 201324
17 201223
18 202022
19 201920
20 201618

About Daniel Tiller

Daniel Tiller is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, General Health Professions, Clinical Biochemistry and Health, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Blood Pressure and Hypertension Studies (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Health and Medical Studies (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Peripheral Artery Disease Management (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (440 citations), Cardiology and Cardiovascular Medicine (292 citations), Aging (14 citations), Genetics (214 citations) and Clinical Biochemistry (29 citations). Daniel Tiller has collaborated with scholars based in Germany, Netherlands and Denmark. Frequent co-authors include Alexander Kluttig, Johannes Haerting, Karin Halina Greiser, Karl Werdan, María Elena Lacruz, Beatrice Herzog, Daniel Medenwald, Sebastian Nuding, Saskia Hartwig and Joachim Thiery. Their work appears in journals such as PLoS ONE, Thyroid, BMC Public Health, Medicine 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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