Markus Neumeier

3.9k citations
61 papers · 3.4k · h-index 32

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 41
    • Liver Disease Diagnosis and Treatment 8
    • Adipose Tissue and Metabolism 16

Markus Neumeier

61 papers receiving 3.3k citations

Peers

Markus Neumeier
Comparison fields: 5 of 107
  • Epidemiology 1.9k
  • Endocrine and Autonomic Systems 245
  • Physiology 807
  • Immunology 613
  • Hepatology 136
Replace Shannon M. Reilly with:
Shannon M. Reilly United States
Johanna Weigert Germany
Matthew T. Nguyen United States
David Patsouris United States
Terri Pietka United States
Stéphanie Bonnafous France
Hélène L. Kammoun Australia
Fahumiya Samad United States
Antoni Paul United States
Jachelle M. Ofrecio United States
Markus Neumeier relative to Shannon M. Reilly United States Shannon M. Reilly's profile →
Citations per field
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Citations per year

Countries citing papers authored by Markus Neumeier

Since Specialization
Citations

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

Fields of papers citing papers by Markus Neumeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008313
2 2009258
3 2006230
4 2011223
5 2010161
6 2009138
7 2010138
8 2006127
9 2009125
10 2010116
11 2007102
12 200589
13 201077
14 200769
15 200665
16 200962
17 201062
18 200957
19 200855
20 200652

About Markus Neumeier

Markus Neumeier is a scholar working on Epidemiology, Physiology, Immunology, Endocrine and Autonomic Systems and Molecular Biology, having authored 61 papers that have together received 3.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (41 papers), Adipose Tissue and Metabolism (16 papers), Liver Disease Diagnosis and Treatment (8 papers), Immune Response and Inflammation (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Regulation of Appetite and Obesity (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Epidemiology (1.9k citations), Endocrine and Autonomic Systems (245 citations), Physiology (807 citations), Immunology (613 citations) and Hepatology (136 citations). Markus Neumeier has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Christa Buechler, Andréas Schäffler, Johanna Weigert, Josef Wanninger, Jürgen Schölmerich, Charalampos Aslanidis, Andrea Kopp, Sabrina Bauer, Werner Falk and Philipp Groß. Their work appears in journals such as Cytokine, Experimental and Molecular Pathology, FEBS Letters, Biochemical and Biophysical Research Communications and Cardiovascular Diabetology.

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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