P. Vaith

76 papers receiving 2.1k citations

Peers

P. Vaith
Comparison fields: 5 of 78
  • Pulmonary and Respiratory Medicine 778
  • Rheumatology 175
  • Biotechnology 59
  • Nephrology 66
  • Pathology and Forensic Medicine 112
Replace Fernando D. Miguel with:
Fernando D. Miguel United States
Marie Černá Czechia
Fumihide Ogawa Japan
Shunsuke Minagawa Japan
Jonathan S. Coblyn United States
Harald Rupprecht Germany
Yumi Kaneko Japan
Elisa Menegatti Italy
L H Block Switzerland
Hiroo Niimi Japan
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Citations per year

Countries citing papers authored by P. Vaith

Since Specialization
Citations

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

Fields of papers citing papers by P. Vaith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Magnetic resonance imaging (MRI) for detection of active sacroiliitis--a prospective study comparing conventional radiography, scintigraphy, and contrast enhanced MRI.
1996157
2 2014144
3 2005139
4 2012133
5 2005118
6 2008112
7 200189
8 200287
9 201482
10 201270
11 197867
12 200065
13 200760
14 197959
15 200855
16 198354
17 197849
18 197946
19 197946
20 197945

About P. Vaith

P. Vaith is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Clinical Biochemistry, Biotechnology and Pathology and Forensic Medicine, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Vasculitis and related conditions (28 papers), Glycosylation and Glycoproteins Research (6 papers), Systemic Lupus Erythematosus Research (5 papers), Systemic Sclerosis and Related Diseases (3 papers), Marine Sponges and Natural Products (3 papers), Advanced Glycation End Products research (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (778 citations), Rheumatology (175 citations), Biotechnology (59 citations), Nephrology (66 citations) and Pathology and Forensic Medicine (112 citations). P. Vaith has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Thorsten Alexander Bley, Mathias Langer, G. Uhlenbruck, Wernér E.G. Müller, Klaus Warnatz, Gerd UHLENBRUCK, Julia Geiger, Markus Uhl, Matthias Reinhard and Michael Markl. Their work appears in journals such as Annals of the Rheumatic Diseases, Lara D. Veeken, International Journal of Biological Macromolecules, Kidney International and Journal of Biological Chemistry.

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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