J. Vajda

1.3k citations
70 papers · 956 indexed · h-index 15

J. Vajda

62 papers receiving 891 citations

Peers

J. Vajda
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 401
  • Neurology 328
  • Developmental Neuroscience 83
  • Psychiatry and Mental health 134
  • Cognitive Neuroscience 148
Replace Tadashi Katagiri with:
Tadashi Katagiri Japan
L. M. E. Smit Netherlands
U. Steude Germany
David J. Eve United States
J.M. Peyronnard Canada
Suzanne M. de la Monte United States
Claire A. Sheldon Canada
C. Watt United Kingdom
Isın Ünal-Çevik Türkiye
Lawrence E. Becker Canada
J. Vajda relative to Tadashi Katagiri Japan Tadashi Katagiri's profile →
Citations per field
00.5×7.4×
Tadashi Katagiri · 1×
Citations per year

Countries citing papers authored by J. Vajda

Since Specialization
Citations

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

Fields of papers citing papers by J. Vajda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201083
2 20097
3 200749
4 20051
5 200310
6 2000128
7 199266
8 19911
9 19891
10 198847
11 19873
12 19871
13 198629
14 198619
15 19841
16 19826
17
Innervation of the cat ureter. An experimental study.
19811
18
Distribution and fine structure of the interstitial cells of Cajal.
19807
19 19747
20 197118

About J. Vajda

J. Vajda is a scholar working on Neurology, Urology, Gastroenterology, Cellular and Molecular Neuroscience and Neurology, having authored 70 papers that have together received 956 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (13 papers), Neuroscience and Neuropharmacology Research (8 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Urinary Bladder and Prostate Research (6 papers), Epilepsy research and treatment (6 papers), Diet and metabolism studies (5 papers), Moyamoya disease diagnosis and treatment (5 papers) and Neurological disorders and treatments (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (401 citations), Neurology (328 citations), Developmental Neuroscience (83 citations), Psychiatry and Mental health (134 citations) and Cognitive Neuroscience (148 citations). J. Vajda has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Sándor Czirják, Péter Halász, Tamás F. Freund, Zs. Maglóczky, Erzsébet Fehér, Lúcia Wittner, E. Pásztor, Zsolt Borhegyi, Zsófia Maglóczky and Lóránd Erőss. Their work appears in journals such as Acta Neurochirurgica, Cells Tissues Organs, Stereotactic and Functional Neurosurgery, Neuroscience and Brain.

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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