Igor Age Kos
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Lymphoma Diagnosis and Treatment 8
-
- Biosimilars and Bioanalytical Methods 4
- Immune Cell Function and Interaction 3
- Co-authors
- Valderílio Feijó Azevedo (7 shared papers)Geraldo da Rocha Castelar Pinheiro (1 shared paper)Ana Beatriz Vargas‐Santos (1 shared paper)Eduardo dos Santos Paiva (1 shared paper)Moritz Bewarder (13 shared papers)Ν. Moussiopoulos (1 shared paper)Lorenz Thurner (13 shared papers)Zvjezdana Bencetić Klaić (1 shared paper)
In The Last Decade
Igor Age Kos
23 papers receiving 271 citations
Peers
Comparison fields: 5 of 81
- Nephrology 87
- Pharmacology 27
- Infectious Diseases 49
- Pathology and Forensic Medicine 45
- Rheumatology 34
Countries citing papers authored by Igor Age Kos
This map shows the geographic impact of Igor Age Kos'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 Igor Age Kos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Age Kos more than expected).
Fields of papers citing papers by Igor Age Kos
This network shows the impact of papers produced by Igor Age Kos. 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 Igor Age Kos. The network helps show where Igor Age Kos may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Age Kos, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 110 | |
| 2 | 2020 | 44 | |
| 3 | 2002 | 31 | |
| 4 | 2005 | 20 | |
| 5 | 2018 | 12 | |
| 6 | 2018 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2023 | 5 | |
| 10 | 2021 | 4 | |
| 11 | Education and research: Initial development of the Atmospheric Lagrangian Particle Stochastic (ALPS) Dispersion Model | 2004 | 4 |
| 12 | 2021 | 4 | |
| 13 | 2018 | 4 | |
| 14 | 2016 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 1 |
About Igor Age Kos
Igor Age Kos is a scholar working on Pathology and Forensic Medicine, Immunology, Oncology, Infectious Diseases and Economics and Econometrics, having authored 28 papers that have together received 280 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Biosimilars and Bioanalytical Methods (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Immune Cell Function and Interaction (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Pharmaceutical Economics and Policy (3 papers). The work is most often cited by research in Nephrology (87 citations), Pharmacology (27 citations), Infectious Diseases (49 citations), Pathology and Forensic Medicine (45 citations) and Rheumatology (34 citations). Igor Age Kos has collaborated with scholars based in Germany, Brazil and Croatia. Frequent co-authors include Valderílio Feijó Azevedo, Geraldo da Rocha Castelar Pinheiro, Ana Beatriz Vargas‐Santos, Eduardo dos Santos Paiva, Moritz Bewarder, Ν. Moussiopoulos, Lorenz Thurner, Zvjezdana Bencetić Klaić, Branko Grisogono and Dominic Kaddu‐Mulindwa. Their work appears in journals such as Scientific Reports, Intensive Care Medicine Experimental, Blood Advances, Drugs in Context and Haematologica.
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.