Lovro Lamot
Impact in
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research
- Rheumatology top 10%
- Spondyloarthritis Studies and Treatments
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
Papers in
- Hematology 18
- Autoimmune and Inflammatory Disorders Research 17
- Rheumatology 14
- Spondyloarthritis Studies and Treatments 6
- Rheumatoid Arthritis Research and Therapies 3
- Co-authors
- Miroslav Harjaček (19 shared papers)Kelly L. Brown (4 shared papers)Marijana Miler (4 shared papers)Yosef Uziel (5 shared papers)Ezgi Deniz Batu (2 shared papers)Erdal Sağ (2 shared papers)Seza Özen (1 shared paper)Nada Vrkić (1 shared paper)
In The Last Decade
Lovro Lamot
36 papers receiving 299 citations
Peers
Comparison fields: 5 of 74
- Hematology 93
- Rheumatology 114
- Immunology 65
- Nephrology 16
- Speech and Hearing 13
Countries citing papers authored by Lovro Lamot
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
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.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 83 | |
| 2 | 2020 | 20 | |
| 3 | 2022 | 19 | |
| 4 | 2014 | 17 | |
| 5 | 2009 | 16 | |
| 6 | Methods for type I interferon detection and their relevance for clinical utility and improved understanding of rheumatic diseases. | 2019 | 16 |
| 7 | 2021 | 15 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2015 | 10 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2008 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 4 |
About Lovro Lamot
Lovro Lamot is a scholar working on Hematology, Rheumatology, Molecular Biology, Immunology and Pediatrics, Perinatology and Child Health, having authored 43 papers that have together received 306 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (17 papers), Spondyloarthritis Studies and Treatments (6 papers), Inflammasome and immune disorders (6 papers), Adolescent and Pediatric Healthcare (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Viral Infections and Immunology Research (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Pediatric Urology and Nephrology Studies (3 papers). The work is most often cited by research in Hematology (93 citations), Rheumatology (114 citations), Immunology (65 citations), Nephrology (16 citations) and Speech and Hearing (13 citations). Lovro Lamot has collaborated with scholars based in Croatia, Italy and Israel. Frequent co-authors include Miroslav Harjaček, Kelly L. Brown, Marijana Miler, Yosef Uziel, Ezgi Deniz Batu, Erdal Sağ, Seza Özen, Nada Vrkić, Kristina Gotovac and Ana-Maria Šimundić. Their work appears in journals such as Pediatric Rheumatology, Frontiers in Pediatrics, Frontiers in Medicine, Annals of the Rheumatic Diseases and Seminars in Arthritis and Rheumatism.
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.