M. Pfeuffer

15 papers receiving 606 citations

Peers

M. Pfeuffer
Comparison fields: 5 of 82
  • Biochemistry 74
  • Experimental and Cognitive Psychology 132
  • Public Health, Environmental and Occupational Health 225
  • Endocrinology, Diabetes and Metabolism 128
  • Nutrition and Dietetics 95
Replace Behnood Abbasi with:
Behnood Abbasi Iran
Jen‐Fang Liu Taiwan
Giorgia Spaggiari Italy
Emilia Papakonstantinou Greece
Jussara Carnevale de Almeida Brazil
Н. В. Семенова Russia
Allain Amador Bueno United Kingdom
Michael R. Lyon Canada
M. Parillo Italy
Weini Ma China
M. Pfeuffer relative to Behnood Abbasi Iran Behnood Abbasi's profile →
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Citations per year

Countries citing papers authored by M. Pfeuffer

Since Specialization
Citations

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

Fields of papers citing papers by M. Pfeuffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2008158
2 2011150
3 2006127
4 200652
5 201040
6 200929
7 198823
8 200122
9
Animal models for the study of lipid metabolism, with particular reference to the Göttingen minipig.
199014
10 19898
11 19883
12 20162
13 19882
14 19911
15 19941

About M. Pfeuffer

M. Pfeuffer is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Epidemiology and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 632 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Diet and metabolism studies (3 papers), Nutritional Studies and Diet (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cholesterol and Lipid Metabolism (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Biochemistry (74 citations), Experimental and Cognitive Psychology (132 citations), Public Health, Environmental and Occupational Health (225 citations), Endocrinology, Diabetes and Metabolism (128 citations) and Nutrition and Dietetics (95 citations). M. Pfeuffer has collaborated with scholars based in Germany, Russia and Italy. Frequent co-authors include J. Schrezenmeir, Jürgen Schrezenmeir, Anja Bosy‐Westphal, Manfred J. Müller, Annegret Auinger, Heiner Mönig, C. A. Barth, Sandra Plachta‐Danielzik, Uta Settler and Britta Hitze. Their work appears in journals such as Obesity Reviews, Nutrition Metabolism and Cardiovascular Diseases, Clinical Chemistry, European Journal of Clinical Nutrition and Lipids in Health and Disease.

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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