Tito Borner

29 papers receiving 910 citations

Peers

Tito Borner
Comparison fields: 5 of 71
  • Endocrine and Autonomic Systems 211
  • Endocrinology, Diabetes and Metabolism 332
  • Physiology 431
  • Rheumatology 242
  • Cellular and Molecular Neuroscience 162
Replace Sarah Juel Paulsen with:
Sarah Juel Paulsen Denmark
Isao Katsuragi Japan
Warren W. Pan United States
Jeffrey P. Cardinale United States
C. Ruth González Spain
Daniel Beiroa Spain
Vilborg Pálsdóttir Sweden
I. Angel France
Cintia Folgueira Spain
Ciaran Brady United Kingdom
Tito Borner relative to Sarah Juel Paulsen Denmark Sarah Juel Paulsen's profile →
Citations per field
00.5×6.9×
Sarah Juel Paulsen · 1×
Citations per year

Countries citing papers authored by Tito Borner

Since Specialization
Citations

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

Fields of papers citing papers by Tito Borner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020164
2 2021125
3 202093
4 202069
5 202246
6 202141
7 202236
8 201636
9 202134
10 202032
11 201830
12 201727
13 201626
14 201623
15 201921
16 201217
17 202017
18 202316
19 202113
20 202411

About Tito Borner

Tito Borner is a scholar working on Physiology, Rheumatology, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 921 indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (10 papers), Nutrition and Health in Aging (10 papers), Diabetes Treatment and Management (8 papers), Regulation of Appetite and Obesity (7 papers), Diet and metabolism studies (7 papers), Pharmacological Effects and Toxicity Studies (4 papers), Neuropeptides and Animal Physiology (4 papers) and Pharmacology and Obesity Treatment (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (211 citations), Endocrinology, Diabetes and Metabolism (332 citations), Physiology (431 citations), Rheumatology (242 citations) and Cellular and Molecular Neuroscience (162 citations). Tito Borner has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Bart C. De Jonghe, Matthew R. Hayes, Harvey J. Grill, Misgana Y. Ghidewon, Robert P. Doyle, Thomas A. Lutz, Evan D. Shaulson, Charles C. Horn, Thomas Riediger and Samantha M. Fortin. Their work appears in journals such as Molecular Metabolism, Diabetes, Diabetes Obesity and Metabolism, Cell Reports and Science Translational Medicine.

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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