R. Renner

1.0k citations
49 papers · 861 · h-index 16

Impact in

Papers in

    • Diabetes Management and Research 12
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 5
    • Diabetes Treatment and Management 5
    • Metabolism, Diabetes, and Cancer 5
    • Receptor Mechanisms and Signaling 3

R. Renner

44 papers receiving 747 citations

Peers

R. Renner
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 280
  • Nephrology 54
  • Physiology 163
  • Biochemistry 41
  • Cellular and Molecular Neuroscience 101
Replace Natalia Jarzebska with:
Natalia Jarzebska Germany
J. C. Thompson United States
Terumasa Nagase Japan
J.H.P. Wilson Netherlands
Christine Remy Switzerland
H. Schmidt Germany
S. Kahl Germany
John Mace United States
Wen Kong China
Nidhi Gupta India
R. Renner relative to Natalia Jarzebska Germany Natalia Jarzebska's profile →
Citations per field
00.5×4.8×
Natalia Jarzebska · 1×
Citations per year

Countries citing papers authored by R. Renner

Since Specialization
Citations

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

Fields of papers citing papers by R. Renner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Renner, 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 R. Renner Line = papers co-authored together R. Renner 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 1999145
2 1972101
3 199678
4 199757
5 197557
6 200051
7 197548
8 199036
9 197825
10 197822
11 199718
12 197418
13 197117
14 198817
15 200916
16 200015
17 198014
18 197312
19 197211
20 197310

About R. Renner

R. Renner is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Physiology and Genetics, having authored 49 papers that have together received 861 indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (7 papers), Metabolism, Diabetes, and Cancer (5 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (5 papers), Diabetes Treatment and Management (5 papers), Chronic Kidney Disease and Diabetes (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (280 citations), Nephrology (54 citations), Physiology (163 citations), Biochemistry (41 citations) and Cellular and Molecular Neuroscience (101 citations). R. Renner has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include K. Hepp, Wolfgang Kemmler, Michael Trautmann, Oliver Harzer, Andreas Pfützner, P. Grafe, Hugh Bostock, Günther Weitzel, K.D. Hepp and Stefan Quasthoff. Their work appears in journals such as FEBS Letters, Experimental and Clinical Endocrinology & Diabetes, Diabetes Research and Clinical Practice, Diabetes Care and Molecular and Cellular Endocrinology.

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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