A. W. Eiff

648 citations
49 papers · 357 · h-index 10

Impact in

Papers in

A. W. Eiff

43 papers receiving 326 citations

Peers

A. W. Eiff
Comparison fields: 5 of 75
  • Behavioral Neuroscience 74
  • Cardiology and Cardiovascular Medicine 170
  • Endocrinology, Diabetes and Metabolism 72
  • Complementary and alternative medicine 25
  • Applied Psychology 14
Replace Motoyasu Muranaka with:
Motoyasu Muranaka Japan
Howard L. Hartley United States
J E Dimsdale United States
Agnieszka Zygmunt Poland
Gerardo Pérez Spain
Taisuke Nomura Japan
Gopal Krushna Pal India
E. W. Jensen Denmark
A Broadley United Kingdom
D Talbot United Kingdom
A. W. Eiff relative to Motoyasu Muranaka Japan Motoyasu Muranaka's profile →
Citations per field
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Motoyasu Muranaka · 1×
Citations per year

Countries citing papers authored by A. W. Eiff

Since Specialization
Citations

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

Fields of papers citing papers by A. W. Eiff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. W. Eiff. 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 A. W. Eiff. The network helps show where A. W. Eiff may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197150
2 198337
3 198732
4 198423
5 198620
6 197720
7 198518
8 195111
9 198411
10 19579
11 19859
12 19709
13 19538
14 19848
15 19827
16 19776
17
[Traffic noise and the risk of hypertension. 1].
19806
18 19856
19
Predictors of blood pressure increases after withdrawal of antihypertensive therapy.
19855
20 19865

About A. W. Eiff

A. W. Eiff is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 49 papers that have together received 357 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (13 papers), Heart Rate Variability and Autonomic Control (12 papers), Stress Responses and Cortisol (6 papers), Pain Management and Placebo Effect (4 papers), Hemodynamic Monitoring and Therapy (3 papers), Biomedical and Chemical Research (3 papers), Hormonal Regulation and Hypertension (3 papers) and Cardiovascular and exercise physiology (3 papers). The work is most often cited by research in Behavioral Neuroscience (74 citations), Cardiology and Cardiovascular Medicine (170 citations), Endocrinology, Diabetes and Metabolism (72 citations), Complementary and alternative medicine (25 citations) and Applied Psychology (14 citations). A. W. Eiff has collaborated with scholars based in Germany and United States. Frequent co-authors include H. Neus, Roland E. Schmieder, Adelheid Czernik, E. J. Plotz, W. Schulte, Claus Piekarski, Heinz Rüddel, Wolf Langewitz, Heinz Rüdel and Franz H. Messerli. Their work appears in journals such as Journal of Molecular Medicine, Journal of Cardiovascular Pharmacology, Journal of Hypertension, Basic Research in Cardiology and Journal of Neural Transmission.

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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