Tilo Moede

2.8k citations
35 papers · 2.3k · h-index 23

Impact in

Papers in

    • Pancreatic function and diabetes 31
    • Diabetes and associated disorders 17

Tilo Moede

34 papers receiving 2.3k citations

Peers

Tilo Moede
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 572
  • Surgery 1.3k
  • Genetics 600
  • Physiology 78
  • Cell Biology 276
Replace Dawn Belt Davis with:
Dawn Belt Davis United States
Jonathan L.S. Esguerra Sweden
Daisy Flamez Belgium
Kathy D. Shelton United States
Eric L. Ford United States
J. Wayne Leitner United States
Xiao-Qing Dai Canada
Florent Allagnat Switzerland
Joan‐Marc Servitja Spain
Greg Poffenberger United States
Tilo Moede relative to Dawn Belt Davis United States Dawn Belt Davis's profile →
Citations per field
00.5×1.6×
Dawn Belt Davis · 1×
Citations per year

Countries citing papers authored by Tilo Moede

Since Specialization
Citations

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

Fields of papers citing papers by Tilo Moede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014316
2 1998242
3 2001230
4 2008223
5 1999125
6 2010100
7 200499
8 201497
9 202088
10 199987
11 199887
12 199883
13 200377
14 201570
15 200448
16 200242
17 201241
18 200737
19 201533
20 201830

About Tilo Moede

Tilo Moede is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and Cell Biology, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (31 papers), Diabetes and associated disorders (17 papers), Metabolism, Diabetes, and Cancer (14 papers), Diabetes Management and Research (6 papers), Adipose Tissue and Metabolism (5 papers), Cellular transport and secretion (3 papers), Cell Adhesion Molecules Research (2 papers) and FOXO transcription factor regulation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (572 citations), Surgery (1.3k citations), Genetics (600 citations), Physiology (78 citations) and Cell Biology (276 citations). Tilo Moede has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Ingo B. Leibiger, Per‐Olof Berggren, Barbara Leibiger, Martin G. Köhler, Sabine Uhles, Lina Moitoso de Vargas, Rohit Kulkarni, C. Ronald Kahn, Melin Janardan Khandekar and Olof Larsson. Their work appears in journals such as The FASEB Journal, Proceedings of the National Academy of Sciences, Diabetologia, Cell and Scientific Reports.

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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