Kinga Dán
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 32
- Acute Myeloid Leukemia Research 21
- Chronic Myeloid Leukemia Treatments 9
- Hematopoietic Stem Cell Transplantation 8
- Platelet Disorders and Treatments 5
- Genetics 9
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Koiti Inokuchi (19 shared papers)Kíyoyuki Ogata (12 shared papers)Hiroki Yamaguchi (13 shared papers)Norio Yokose (9 shared papers)Hideto Tamura (8 shared papers)Emi An (8 shared papers)Takashi Yamashita (2 shared papers)Yumiko Shioi (3 shared papers)
- Journals
- Leukemia (9 papers)Annals of Hematology (7 papers)British Journal of Haematology (5 papers)Bone Marrow Transplantation (3 papers)Haematologica (3 papers)
- Partner nations
- JapanHungaryUnited States
In The Last Decade
Kinga Dán
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Hematology 767
- Genetics 258
- Immunology 362
- Oncology 286
- Emergency Medicine 54
Countries citing papers authored by Kinga Dán
This map shows the geographic impact of Kinga Dán'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 Kinga Dán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kinga Dán more than expected).
Fields of papers citing papers by Kinga Dán
This network shows the impact of papers produced by Kinga Dán. 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 Kinga Dán. The network helps show where Kinga Dán may publish in the future.
Co-authors
The 25 scholars most cited alongside Kinga Dán, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 211 | |
| 2 | 2001 | 166 | |
| 3 | 2009 | 140 | |
| 4 | 2012 | 78 | |
| 5 | 2007 | 77 | |
| 6 | 2007 | 76 | |
| 7 | 1991 | 63 | |
| 8 | 2007 | 51 | |
| 9 | 2011 | 51 | |
| 10 | 2011 | 46 | |
| 11 | 2002 | 39 | |
| 12 | 2001 | 34 | |
| 13 | 1998 | 26 | |
| 14 | 2004 | 26 | |
| 15 | 2001 | 25 | |
| 16 | 1993 | 25 | |
| 17 | 1995 | 19 | |
| 18 | 2011 | 17 | |
| 19 | 1996 | 14 | |
| 20 | A multicenter prospective study on the treatment of chronic idiopathic thrombocytopenic purpura. | 1992 | 13 |
About Kinga Dán
Kinga Dán is a scholar working on Hematology, Genetics, Immunology, Rheumatology and Pathology and Forensic Medicine, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Chronic Myeloid Leukemia Treatments (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Immune Cell Function and Interaction (6 papers), Retinoids in leukemia and cellular processes (5 papers), Platelet Disorders and Treatments (5 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Hematology (767 citations), Genetics (258 citations), Immunology (362 citations), Oncology (286 citations) and Emergency Medicine (54 citations). Kinga Dán has collaborated with scholars based in Japan, Hungary and United States. Frequent co-authors include Koiti Inokuchi, Kíyoyuki Ogata, Hiroki Yamaguchi, Norio Yokose, Hideto Tamura, Emi An, Takashi Yamashita, Yumiko Shioi, Sakae Tanosaki and Kyoko Nakamura. Their work appears in journals such as Leukemia, Annals of Hematology, British Journal of Haematology, Bone Marrow Transplantation 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.