Michael Löffler

1.3k citations
20 papers · 1.0k · h-index 16

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • Gene Regulatory Network Analysis 3
    • Viral Infectious Diseases and Gene Expression in Insects 2

Michael Löffler

19 papers receiving 982 citations

Peers

Michael Löffler
Comparison fields: 5 of 99
  • Physiology 300
  • Nutrition and Dietetics 153
  • Endocrinology, Diabetes and Metabolism 145
  • Epidemiology 279
  • Biochemistry 62
Replace Jean‐Valéry Turatsinze with:
Jean‐Valéry Turatsinze Belgium
Dequan Zhou United States
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Jiyoung Kim South Korea
Yosuke Kobayashi Japan
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Nicole M. Glynn United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Löffler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Löffler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2006240
2 2009175
3 2006127
4 200775
5 201673
6 201246
7 199943
8 196934
9 201732
10 200530
11 201425
12 200623
13 201722
14 201322
15 201719
16 201516
17 20236
18 20112
19 19991
20 20071

About Michael Löffler

Michael Löffler is a scholar working on Molecular Biology, Cell Biology, Physiology, Genetics and Surgery, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Adipose Tissue and Metabolism (3 papers), Gene Regulatory Network Analysis (3 papers), Bacterial Genetics and Biotechnology (3 papers), Fatty Acid Research and Health (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Innovation Diffusion and Forecasting (2 papers). The work is most often cited by research in Physiology (300 citations), Nutrition and Dietetics (153 citations), Endocrinology, Diabetes and Metabolism (145 citations), Epidemiology (279 citations) and Biochemistry (62 citations). Michael Löffler has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Mark Reimers, Thomas M. Stulnig, Martin Bilban, Jelena Todoric, Jonathan S. Bogan, Alexandra Kadl, Maximilian Zeyda, James Cresswell, Ralf Takors and W. Waldhäusl. Their work appears in journals such as Journal of Biological Chemistry, Journal of Biotechnology, PLANT PHYSIOLOGY, International Journal of Obesity and Diabetologia.

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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