S. Baráth

917 citations
30 papers · 748 · h-index 15

Impact in

    • Dermatology and Skin Diseases
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

S. Baráth

30 papers receiving 736 citations

Peers

S. Baráth
Comparison fields: 5 of 88
  • Dermatology 171
  • Immunology 323
  • Immunology and Allergy 80
  • Rheumatology 178
  • Pathology and Forensic Medicine 170
Replace Camilla Benini with:
Camilla Benini Italy
Jyh‐Seng Wang Taiwan
Yonglong Xiao China
Ran Song South Korea
Carlo Santoriello Italy
Thomas H. Acciani United States
Rachel L. Clifford United Kingdom
Amy H. Huang United States
Kunio Hashimoto Japan
S. Baráth relative to Camilla Benini Italy Camilla Benini's profile →
Citations per field
00.5×8.3×
Camilla Benini · 1×
Citations per year

Countries citing papers authored by S. Baráth

Since Specialization
Citations

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

Fields of papers citing papers by S. Baráth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200969
2 200965
3 200765
4 201162
5 201060
6 200851
7 200747
8 200943
9 201538
10 200835
11 200735
12 201027
13 201126
14 200822
15 200621
16 201314
17 202013
18 201212
19 20117
20 20087

About S. Baráth

S. Baráth is a scholar working on Immunology, Computer Networks and Communications, Rheumatology, Dermatology and Physiology, having authored 30 papers that have together received 748 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Energy Efficient Wireless Sensor Networks (7 papers), Immune Cell Function and Interaction (6 papers), Systemic Lupus Erythematosus Research (6 papers), IoT-based Smart Home Systems (5 papers), Dermatology and Skin Diseases (5 papers), Allergic Rhinitis and Sensitization (3 papers) and Systemic Sclerosis and Related Diseases (3 papers). The work is most often cited by research in Dermatology (171 citations), Immunology (323 citations), Immunology and Allergy (80 citations), Rheumatology (178 citations) and Pathology and Forensic Medicine (170 citations). S. Baráth has collaborated with scholars based in Hungary, Norway and Nepal. Frequent co-authors include Sándor Sipka, Péter Szodoray, Margit Zeher, Magdolna Aleksza, Britt Nakken, G. Szegedi, Gábor Papp, Edit Gyimesi, Andrea Szegedi and Ildikó Fanny Horváth. Their work appears in journals such as Scandinavian Journal of Rheumatology, Lara D. Veeken, Inflammation Research, Wireless Personal Communications and Lupus.

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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