G. Vass

610 citations
18 papers · 486 · h-index 8

Impact in

Papers in

G. Vass

18 papers receiving 468 citations

Peers

G. Vass
Comparison fields: 5 of 71
  • Physiology 114
  • Endocrine and Autonomic Systems 52
  • Pulmonary and Respiratory Medicine 206
  • Physiology 136
  • Neurology 24
Replace I Herjavecz with:
I Herjavecz Hungary
Albert G. Driver United States
Paul Stoll Germany
Julie Coote United Kingdom
Caterina Brindicci United Kingdom
Marcel E. Van Der Straeten Belgium
Amy Schaberg United States
Sachiko Namiki United States
Meghana Sathe United States
J.P. Finnerty United Kingdom
G. Vass relative to I Herjavecz Hungary I Herjavecz's profile →
Citations per field
00.5×1.5×2.2×
I Herjavecz · 1×
Citations per year

Countries citing papers authored by G. Vass

Since Specialization
Citations

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

Fields of papers citing papers by G. Vass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2002158
2 200673
3 200563
4 200362
5 198233
6 200830
7 200622
8 200412
9
[Exhaled breath condensate and its analysis--a new method in pulmonology].
20037
10 20216
11 19796
12 20044
13 20212
14
How effective is the routine mediastinal blockdissection in the surgery of non-small cell lung cancer?
19982
15 20202
16
[Evans syndrome and diabetes mellitus, sequelae of viral hepatitis].
19682
17 20071
18 20201

About G. Vass

G. Vass is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Surgery, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 18 papers that have together received 486 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (6 papers), Inhalation and Respiratory Drug Delivery (3 papers), Neonatal Respiratory Health Research (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Diabetes and associated disorders (2 papers), Acute Myocardial Infarction Research (2 papers), Schizophrenia research and treatment (2 papers) and Respiratory and Cough-Related Research (2 papers). The work is most often cited by research in Physiology (114 citations), Endocrine and Autonomic Systems (52 citations), Pulmonary and Respiratory Medicine (206 citations), Physiology (136 citations) and Neurology (24 citations). G. Vass has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Ildikó Horváth, Éva Huszár, Erzsébet Barát, I Herjavecz, Alun D. Hughes, S. Kierstein, Angela Haczku, István Pénzes, Zsuzsanna Szabó and Márk Kollai. Their work appears in journals such as European Respiratory Journal, European Neuropsychopharmacology, Clinical & Experimental Allergy, Thrombosis and Haemostasis and American Journal of Respiratory and Critical Care Medicine.

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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