M. Hees

14 papers receiving 1.0k citations

M. Hees's Hit Papers

Polymorphism of apolipoprotein E 1979 · 370 citations
3700+16+32Years since publication100200300400500

Peers

M. Hees
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 547
  • Cancer Research 278
  • Surgery 569
  • Cardiology and Cardiovascular Medicine 158
  • Genetics 140
Replace Birgit Gaßner with:
Birgit Gaßner Germany
Christine Labeur Belgium
Donna Conlon United States
M. Lakshmi Kuppusamy United States
Eisuke Furuya Japan
Jon Rosen United States
Y Tamao Japan
Dwight Kaufman United States
M. Hees relative to Birgit Gaßner Germany Birgit Gaßner's profile →
Citations per field
00.5×2.6×
Birgit Gaßner · 1×
Citations per year

Countries citing papers authored by M. Hees

Since Specialization
Citations

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

Fields of papers citing papers by M. Hees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside M. Hees, 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. Hees Line = papers co-authored together M. Hees links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Polymorphism of apolipoprotein E and occurrence of dysbetalipoproteinaemia in man
Hit paper breakdown →
1977595
2
Polymorphism of apolipoprotein E
Hit paper breakdown →
1979370
3 197735
4 199224
5 199718
6 200017
7 199816
8 199914
9 198513
10 20009
11 19837
12 19832
13 19972
14 19822

About M. Hees

M. Hees is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Endocrinology, Diabetes and Metabolism and Electronic, Optical and Magnetic Materials, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Porphyrin and Phthalocyanine Chemistry (3 papers), Magnetism in coordination complexes (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Enzyme function and inhibition (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Surface Chemistry and Catalysis (2 papers), Analytical Chemistry and Sensors (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (547 citations), Cancer Research (278 citations), Surgery (569 citations), Cardiology and Cardiovascular Medicine (158 citations) and Genetics (140 citations). M. Hees has collaborated with scholars based in Germany, Netherlands and Belgium. Frequent co-authors include Gerd Utermann, Armin Steinmetz, H. Canzler, K. H. Vogelberg, M Jaeschke, W. Schoenborn, Michael Hanack, M. Hanack, Christopher Fietzek and H. Bertagnolli. Their work appears in journals such as Sensors and Actuators B Chemical, Clinical Genetics, Nature, New Journal of Chemistry and Inorganic Chemistry.

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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