Daniel M Hoefner

1.4k citations
22 papers · 1.1k · h-index 12

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 2
    • Ion Transport and Channel Regulation 1
    • Lipoproteins and Cardiovascular Health 6

Daniel M Hoefner

22 papers receiving 1.1k citations

Peers

Daniel M Hoefner
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 334
  • Surgery 491
  • Cancer Research 143
  • Cardiology and Cardiovascular Medicine 190
  • Immunology 63
Replace Robert S. Rosenson with:
Robert S. Rosenson United States
Hal Kennedy United States
Tomáš Štulc Czechia
José Luis Zamorano Spain
J.J.P. Kastelein Netherlands
David Colquhoun Australia
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Citations per field
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Citations per year

Countries citing papers authored by Daniel M Hoefner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M Hoefner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009254
2 2001221
3 2015155
4 2013139
5 201389
6 201353
7 200649
8 201444
9 201027
10 201420
11 199416
12 201412
13 20158
14 19946
15 20155
16
Serum tumor markers. Part I: Clinical utility.
20054
17 19974
18
Serum tumor markers: part II--practical considerations and limitations of testing.
20062
19 20011
20 20131

About Daniel M Hoefner

Daniel M Hoefner is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Acute Myocardial Infarction Research (2 papers), Lipid Membrane Structure and Behavior (2 papers), Lipid metabolism and disorders (2 papers), Ion Transport and Channel Regulation (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (334 citations), Surgery (491 citations), Cancer Research (143 citations), Cardiology and Cardiovascular Medicine (190 citations) and Immunology (63 citations). Daniel M Hoefner has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Joseph P. McConnell, G. Russell Warnick, John H. Contois, Sridevi Devaraj, György Csákó, Amar A Sethi, Earl L. Branum, John F. O’Brien, Irene Meissner and Weihua Guan. Their work appears in journals such as Clinical Chemistry, Journal of clinical lipidology, Arteriosclerosis Thrombosis and Vascular Biology, Biochimica et Biophysica Acta (BBA) - Biomembranes and Clinica Chimica Acta.

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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