Alexander Staab

2.5k citations
54 papers · 2.0k indexed · h-index 23

Impact in

Papers in

Alexander Staab

54 papers receiving 2.0k citations

Peers

Alexander Staab
Comparison fields: 5 of 124
  • Internal Medicine 182
  • Pharmacology 175
  • Oncology 541
  • Statistics and Probability 156
  • Cardiology and Cardiovascular Medicine 376
Replace Vijay Upreti with:
Vijay Upreti United States
Rajanikanth Madabushi United States
Jürgen Venitz United States
Benoı̂t Blanchet France
Maureen Kavanah United States
Guy Montay France
Martin Bergstrand Sweden
Jeffry Florian United States
Roland Valdes United States
Danièle Ouellet United States
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Citations per field
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Citations per year

Countries citing papers authored by Alexander Staab

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Staab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201329
2 201340
3 201325
4 20111
5 2011242
6 201111
7 201043
8 201017
9 201020
10 200931
11 200918
12 200943
13 200715
14 200710
15 200715
16 200778
17 200638
18 20032
19 20014
20 200149

About Alexander Staab

Alexander Staab is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability, Pharmacology, Oncology and Pharmaceutical Science, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (10 papers), Pharmacogenetics and Drug Metabolism (6 papers), Statistical Methods in Clinical Trials (6 papers), Peptidase Inhibition and Analysis (5 papers), Neuropeptides and Animal Physiology (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Internal Medicine (182 citations), Pharmacology (175 citations), Oncology (541 citations), Statistics and Probability (156 citations) and Cardiology and Cardiovascular Medicine (376 citations). Alexander Staab has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Thorsten Lehr, Charlotte Kloft, Karl‐Heinz Liesenfeld, Sebastian Haertter, Paul Reilly, Margreet Lang, Giuseppe Giaccone, Bernard M. Tijink, C. René Leemans and Remco de Bree. Their work appears in journals such as Pharmaceutical Research, CPT Pharmacometrics & Systems Pharmacology, British Journal of Clinical Pharmacology, Clinical Pharmacokinetics and The Journal of Clinical Pharmacology.

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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