Klára Gadó
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
-
- Cytokine Signaling Pathways and Interactions
- Chemokine receptors and signaling
- Peptidase Inhibition and Analysis
Papers in
- Hematology 12
- Multiple Myeloma Research and Treatments 5
- Blood Coagulation and Thrombosis Mechanisms 3
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Gyula Domján (19 shared papers)András Falus (4 shared papers)Hargita Hegyesi (1 shared paper)Gábor Gigler (4 shared papers)Katalin Pálóczi (2 shared papers)Gabriella Dörnyei (3 shared papers)Béla Tóth (3 shared papers)András Szabó (1 shared paper)
- Journals
- Immunology Letters (1 paper)Cell Biology International (1 paper)Inflammation Research (1 paper)Experimental Hematology and Oncology (1 paper)NeuroImmunoModulation (2 papers)
- Partner nations
- HungaryFranceUnited States
In The Last Decade
Klára Gadó
26 papers receiving 310 citations
Peers
Comparison fields: 5 of 76
- Hematology 96
- Oncology 77
- Immunology 57
- Genetics 22
- Aging 3
Countries citing papers authored by Klára Gadó
This map shows the geographic impact of Klára Gadó'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 Klára Gadó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klára Gadó more than expected).
Fields of papers citing papers by Klára Gadó
This network shows the impact of papers produced by Klára Gadó. 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 Klára Gadó. The network helps show where Klára Gadó may publish in the future.
Co-authors
The 25 scholars most cited alongside Klára Gadó, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 122 | |
| 2 | Mouse plasmacytoma: an experimental model of human multiple myeloma. | 2001 | 48 |
| 3 | 1991 | 27 | |
| 4 | 2022 | 18 | |
| 5 | 2002 | 17 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2001 | 11 | |
| 9 | 2001 | 9 | |
| 10 | 2013 | 6 | |
| 11 | 2014 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2012 | 3 | |
| 15 | 2002 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2018 | 2 | |
| 18 | 2012 | 2 | |
| 19 | 2012 | 2 | |
| 20 | 2012 | 2 |
About Klára Gadó
Klára Gadó is a scholar working on Hematology, Molecular Biology, Surgery, Genetics and Rheumatology, having authored 30 papers that have together received 323 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Diagnosis and Treatment of Venous Diseases (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Hematology (96 citations), Oncology (77 citations), Immunology (57 citations), Genetics (22 citations) and Aging (3 citations). Klára Gadó has collaborated with scholars based in Hungary, France and United States. Frequent co-authors include Gyula Domján, András Falus, Hargita Hegyesi, Gábor Gigler, Katalin Pálóczi, Gabriella Dörnyei, Béla Tóth, András Szabó, György M. Nagy and Zoltán Zsolt Nagy. Their work appears in journals such as Immunology Letters, Cell Biology International, Inflammation Research, Experimental Hematology and Oncology and NeuroImmunoModulation.
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.