Lovro Lamot

711 citations
45 papers · 330 · h-index 10

Impact in

  • Rheumatology top 10%
    • Spondyloarthritis Studies and Treatments
    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
    • Autoimmune and Inflammatory Disorders Research

Papers in

    • Spondyloarthritis Studies and Treatments 8
    • Autoimmune and Inflammatory Disorders Research 14

Lovro Lamot

38 papers receiving 323 citations

Peers

Lovro Lamot
Comparison fields: 5 of 70
  • Rheumatology 102
  • Hematology 63
  • Immunology 59
  • Nephrology 13
  • Molecular Biology 91
Replace Maria Chiara Ditto with:
Maria Chiara Ditto Italy
Eduardo Talesnik Chile
Utako Kaneko Japan
Semanur Özdel Türkiye
Şerife Gül Karadağ Türkiye
Maya Gerstein Israel
Marie Couret France
Alyette Duquesne France
Hazan Karadeniz Türkiye
Yomna Farag Egypt
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Citations per field
00.5×1.5×2.4×
Maria Chiara Ditto · 1×
Citations per year

Countries citing papers authored by Lovro Lamot

Since Specialization
Citations

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

Fields of papers citing papers by Lovro Lamot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202188
2 202223
3 202021
4 202118
5 201417
6
Methods for type I interferon detection and their relevance for clinical utility and improved understanding of rheumatic diseases.
201917
7 200916
8 201511
9 201911
10 201810
11 20218
12 20228
13 20218
14 20198
15 20237
16 20087
17 20225
18 20195
19 20244
20 20204

About Lovro Lamot

Lovro Lamot is a scholar working on Rheumatology, Hematology, Molecular Biology, Immunology and Surgery, having authored 45 papers that have together received 330 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (14 papers), Spondyloarthritis Studies and Treatments (8 papers), Inflammasome and immune disorders (6 papers), Adolescent and Pediatric Healthcare (4 papers), Musculoskeletal Disorders and Rehabilitation (3 papers), Pediatric Urology and Nephrology Studies (2 papers), Urinary Tract Infections Management (2 papers) and Kawasaki Disease and Coronary Complications (2 papers). The work is most often cited by research in Rheumatology (102 citations), Hematology (63 citations), Immunology (59 citations), Nephrology (13 citations) and Molecular Biology (91 citations). Lovro Lamot has collaborated with scholars based in Croatia, Israel and Italy. Frequent co-authors include Miroslav Harjaček, Kelly L. Brown, Yosef Uziel, Marijana Miler, Ezgi Deniz Batu, Erdal Sağ, Seza Özen, Kristina Gotovac, Ana-Maria Šimundić and Nada Vrkić. Their work appears in journals such as Pediatric Rheumatology, Frontiers in Pediatrics, Frontiers in Medicine, Seminars in Arthritis and Rheumatism and Annals of the Rheumatic Diseases.

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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