Lilla Soós

563 citations
10 papers · 423 indexed · h-index 9

Impact in

Papers in

Lilla Soós

10 papers receiving 409 citations

Peers

Lilla Soós
Comparison fields: 5 of 57
  • Rheumatology 282
  • Radiology, Nuclear Medicine and Imaging 149
  • Immunology 109
  • Hematology 33
  • Genetics 28
Replace Nivine Levarht with:
Nivine Levarht Netherlands
L Nogueira France
D M Gerlag Netherlands
D. P. C. de Rooy Netherlands
G Fredenhagen Germany
Concepción Moll Spain
Andrea Seaman United States
J.M. van Laar Netherlands
Jason Edmonds United States
Michel Tsang-A-Sjoe Netherlands
Lilla Soós relative to Nivine Levarht Netherlands Nivine Levarht's profile →
Citations per field
00.5×1.5×
Nivine Levarht · 1×
Citations per year

Countries citing papers authored by Lilla Soós

Since Specialization
Citations

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

Fields of papers citing papers by Lilla Soós

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 201329
2 200922
3
Associations between serum anti-CCP antibody, rheumatoid factor levels and HLA-DR4 expression in Hungarian patients with rheumatoid arthritis.
200823
4
Anti-cyclic citrullinated peptide antibody isotypes in rheumatoid arthritis: association with disease duration, rheumatoid factor production and the presence of shared epitope.
200845
5 200758
6 200783
7 200754
8 200740
9
Clinical evaluation of anti-mutated citrullinated vimentin by ELISA in rheumatoid arthritis.
200768
10
[Asymptomatic bacteriuria in pregnancy].
19711

About Lilla Soós

Lilla Soós is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Clinical Biochemistry, Immunology and Pathology and Forensic Medicine, having authored 10 papers that have together received 423 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Rheumatoid Arthritis Research and Therapies (7 papers), Systemic Lupus Erythematosus Research (5 papers), Galectins and Cancer Biology (1 paper), Viral Infections and Immunology Research (1 paper), Urinary Tract Infections Management (1 paper), Metabolism and Genetic Disorders (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Rheumatology (282 citations), Radiology, Nuclear Medicine and Imaging (149 citations), Immunology (109 citations), Hematology (33 citations) and Genetics (28 citations). Lilla Soós has collaborated with scholars based in Hungary, United States and Israel. Frequent co-authors include Zoltán Szekanecz, Gabriella Lakos, Andrea Fekete, Anikó Kapitány, Ákos Végvári, Zoltán Szabó, Sándor Sipka, Gyula Szegedi, Katalin Dankó and Margit Zeher. Their work appears in journals such as Annals of the New York Academy of Sciences, Immunologic Research, Clinical Reviews in Allergy & Immunology, Journal of Autoimmunity and Lara D. Veeken.

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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