Ericka Moerman

20 papers receiving 1.2k citations

Ericka Moerman's Hit Papers

Inhibition of the glucose transporter SGLT2 with dapagliflozin in pancreatic alpha cells triggers glucagon secretion 2015 · 569 citations
5690+3+7Years since publication100200300400500

Peers

Ericka Moerman
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 513
  • Pathology and Forensic Medicine 168
  • Surgery 381
  • Nephrology 35
  • Genetics 90
Replace Noriyoshi Yamakita with:
Noriyoshi Yamakita Japan
Bartolomeo Farzati Italy
Teruo Jojima Japan
Louie G. Linarelli United States
William H. Bestermann United States
Chunjun Sheng China
Hui‐Pin Hsiao Taiwan
Zhimin Huang China
Jungo Terasaki Japan
M. J. A. Saad Brazil
Ericka Moerman relative to Noriyoshi Yamakita Japan Noriyoshi Yamakita's profile →
Citations per field
00.5×2×4×6×8×9.9×
Noriyoshi Yamakita · 1×
Citations per year

Countries citing papers authored by Ericka Moerman

Since Specialization
Citations

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

Fields of papers citing papers by Ericka Moerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Inhibition of the glucose transporter SGLT2 with dapagliflozin in pancreatic alpha cells triggers glucagon secretion
Hit paper breakdown →
2015569
2 2006132
3 2002131
4 200376
5 201048
6 202047
7 200846
8 200739
9 201238
10 201236
11 200732
12 201929
13 200216
14 200514
15 201014
16 200412
17 20058
18 20166
19
Glucose transporter SGLT2 inhibition triggers glucagon secretion in alpha cells
20145
20 20212

About Ericka Moerman

Ericka Moerman is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience and Genetics, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (19 papers), Diabetes Treatment and Management (3 papers), Neonatal Respiratory Health Research (1 paper), Diabetes and associated disorders (1 paper), Birth, Development, and Health (1 paper) and Nuclear Receptors and Signaling (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (513 citations), Pathology and Forensic Medicine (168 citations), Surgery (381 citations), Nephrology (35 citations) and Genetics (90 citations). Ericka Moerman has collaborated with scholars based in France, Belgium and Germany. Frequent co-authors include François N. Pattou, Valéry Gmyr, Julie A. Kerr-Conte, Brigitte Vandewalle, Nathalie Delalleau, Bruno Lukowiak, Bart Staels, Caroline Bonner, Julien Thévenet and Gurvan Quéniat. Their work appears in journals such as Biochemical and Biophysical Research Communications, Endocrinology, Transplantation, Gene Expression and Nature 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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