Hans Hoff

65 papers receiving 2.0k citations

Peers

Hans Hoff
Comparison fields: 5 of 112
  • Biochemistry 528
  • Immunology 587
  • Surgery 969
  • Cancer Research 305
  • Endocrinology, Diabetes and Metabolism 324
Replace Dieter M. Kramsch with:
Dieter M. Kramsch United States
Luisa Lenti Italy
Gert M. Kostner Austria
Hiroshi Mokuno Japan
Anselm T. Bäumer Germany
Francesc González‐Sastre Spain
Stewart C. Whitman Canada
Uday Saxena United States
Megan Settle United States
J.L. Witztum United States
Hans Hoff relative to Dieter M. Kramsch United States Dieter M. Kramsch's profile →
Citations per field
00.5×
Dieter M. Kramsch · 1×
Citations per year

Countries citing papers authored by Hans Hoff

Since Specialization
Citations

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

Fields of papers citing papers by Hans Hoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992236
2 1988204
3 1989159
4 1991140
5 1992113
6 199498
7 198490
8 198183
9 199778
10 197575
11 199059
12 199357
13 197755
14 197747
15 197347
16
Correlation of apolipoprotein B retention with the structure of atherosclerotic plaques from human aortas.
197844
17 199044
18 196838
19 197836
20 200434

About Hans Hoff

Hans Hoff is a scholar working on Biochemistry, Immunology, Cancer Research, Surgery and Biochemistry, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (16 papers), Lipoproteins and Cardiovascular Health (13 papers), Antioxidant Activity and Oxidative Stress (9 papers), Cancer, Lipids, and Metabolism (7 papers), Cholesterol and Lipid Metabolism (7 papers), Fatty Acid Research and Health (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Biochemistry (528 citations), Immunology (587 citations), Surgery (969 citations), Cancer Research (305 citations) and Endocrinology, Diabetes and Metabolism (324 citations). Hans Hoff has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include J O'Neil, Christine I. Skibinski, George Hoppe, Günther Jürgens, Antonio M. Gotto, R Gottlob, John W. Gaubatz, Carol L. Heideman, Michael D. Cressman and Robert Heyka. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Journal of Lipid Research, Circulation Research, Journal of Neural Transmission and Circulation.

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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