Julia Moellmann

870 citations
29 papers · 515 · h-index 12

Impact in

Papers in

Julia Moellmann

25 papers receiving 509 citations

Peers

Julia Moellmann
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 165
  • Nephrology 51
  • Cardiology and Cardiovascular Medicine 137
  • Applied Microbiology and Biotechnology 9
  • Health Informatics 5
Replace SC Lee with:
SC Lee Taiwan
Yeşim Özen Alahdab Türkiye
Guanming Qi China
Toshiaki Yano Japan
Yongjun Wang China
Junzhe Chen China
Katherine Fredrich United States
Yahan Yu China
Michael Lichtenauer Austria
Bert D. Dikkeschei Netherlands
Julia Moellmann relative to SC Lee Taiwan SC Lee's profile →
Citations per field
00.5×5.3×
SC Lee · 1×
Citations per year

Countries citing papers authored by Julia Moellmann

Since Specialization
Citations

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

Fields of papers citing papers by Julia Moellmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020101
2 202253
3 201853
4 202045
5 202234
6 201934
7 201532
8 202123
9 202320
10 201820
11 201919
12 201816
13 201610
14 20239
15 20189
16 20207
17 20207
18 20245
19 20215
20 20224

About Julia Moellmann

Julia Moellmann is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology, having authored 29 papers that have together received 515 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (14 papers), Pancreatic function and diabetes (6 papers), Cardiovascular Function and Risk Factors (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers), Infection Control and Ventilation (2 papers), Heart Failure Treatment and Management (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (165 citations), Nephrology (51 citations), Cardiology and Cardiovascular Medicine (137 citations), Applied Microbiology and Biotechnology (9 citations) and Health Informatics (5 citations). Julia Moellmann has collaborated with scholars based in Germany, Netherlands and Canada. Frequent co-authors include Michael Lehrke, Nikolaus Marx, Peter Boor, Barbara M. Klinkhammer, Corinna Lebherz, Rafael Kramann, Florian Kahles, Joachim Jankowski, Roman D. Bülow and Ron Korstanje. Their work appears in journals such as European Heart Journal, Scientific Reports, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Diabetes Obesity and Metabolism and Journal of Hospital Infection.

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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