Norbert Genser

795 citations
20 papers · 667 · h-index 11

Impact in

Papers in

Norbert Genser

19 papers receiving 602 citations

Peers

Norbert Genser
Comparison fields: 5 of 34
  • Cardiology and Cardiovascular Medicine 327
  • Equine 5
  • Anesthesiology and Pain Medicine 12
  • Physiology 44
  • Cellular and Molecular Neuroscience 19
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T Bjurö Sweden
Gillian Burrows United Kingdom
Oğuz Yavuzgil Türkiye
Ertan Ökmen Türkiye
Jack E. Smith United States
A. Broughton Australia
Morio Ito Japan
Vito Starc Slovenia
Christian M. Heesch United States
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Citations per field
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Citations per year

Countries citing papers authored by Norbert Genser

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Genser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Norbert Genser, 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 Norbert Genser Line = papers co-authored together Norbert Genser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1995231
2 1996102
3 199265
4 199558
5 199241
6 199335
7 199228
8 199620
9 199719
10 199117
11 199817
12 199311
13 19979
14
Granulocyte elastase in acute myocardial infarction.
19934
15 19913
16 19923
17 20052
18
[Demonstration of bacterial serum antibodies in chronic bronchitis].
19671
19 19911
20 20090

About Norbert Genser

Norbert Genser is a scholar working on Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine, Physiology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 667 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (5 papers), Nitric Oxide and Endothelin Effects (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Anesthesia and Sedative Agents (1 paper), Heart Failure Treatment and Management (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (327 citations), Equine (5 citations), Anesthesiology and Pain Medicine (12 citations), Physiology (44 citations) and Cellular and Molecular Neuroscience (19 citations). Norbert Genser has collaborated with scholars based in Austria, France and Germany. Frequent co-authors include Bernd Puschendorf, Peter Lechleitner, Franz Dienstl, Johannes M Mair, Heribert Talasz, N. Moes, Guy J Friedrich, Catherine Larue, Erika Artner‐Dworzak and Charles Calzolari. Their work appears in journals such as The Lancet, Clinical Chemistry, Clinica Chimica Acta, Journal of Molecular Medicine and The American Journal of Cardiology.

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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