Viktória Kónya

2.8k citations
40 papers · 2.3k indexed · 1 hit paper · h-index 26

Viktória Kónya

40 papers receiving 2.2k citations

Hit Papers

The heterogeneity of human CD127+ innate lymphoid cells r...3682016202620192022100200300

Peers

Viktória Kónya
Comparison fields: 5 of 111
  • Immunology 1.0k
  • Biochemistry 178
  • Physiology 531
  • Pharmacology 307
  • Immunology and Allergy 108
Replace Levente József with:
Levente József Canada
Mohib Uddin Sweden
Amy S. Major United States
David W. Essex United States
Manikandan Subramanian United States
Adam E. Mullick United States
T B Rajavashisth United States
Linda A. Gleaves United States
Vincent Braunersreuther Switzerland
Agnès Boullier France
Viktória Kónya relative to Levente József Canada Levente József's profile →
Citations per field
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Citations per year

Countries citing papers authored by Viktória Kónya

Since Specialization
Citations

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

Fields of papers citing papers by Viktória Kónya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202154
2 202050
3 201778
4
The heterogeneity of human CD127+ innate lymphoid cells revealed by single-cell RNA sequencingbreakdown →
2016368
5 201659
6 201636
7 201610
8 201510
9 201414
10 20142
11 201377
12 201393
13 20128
14 201248
15 201210
16 2012117
17 201151
18 201130
19 201028
20 2008101

About Viktória Kónya

Viktória Kónya is a scholar working on Immunology and Allergy, Immunology and Physiology, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (11 papers), Eosinophilic Esophagitis (8 papers), IL-33, ST2, and ILC Pathways (8 papers), Inflammatory mediators and NSAID effects (7 papers), Immune Cell Function and Interaction (6 papers), Allergic Rhinitis and Sensitization (5 papers), Receptor Mechanisms and Signaling (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). The work is most often cited by research in Immunology (1.0k citations), Biochemistry (178 citations) and Physiology (531 citations). Viktória Kónya has collaborated with scholars based in Austria, Sweden and Germany. Frequent co-authors include Ákos Heinemann, Jenny Mjösberg, Rufina Schuligoi, Gunther Marsche, Danielle Friberg, Åsa K. Björklund, Marianne Forkel, Bernhard A. Peskar, Simone Picelli and Jakob Theorell. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Nature Immunology.

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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