Seppo Pakkala
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Biochemistry top 10%
Papers in
- Hematology 13
- Acute Myeloid Leukemia Research 12
- Co-authors
- HP KoefflerElena ElstnerMasahiro KizakiAarno PalotieMI DawsonLise BinderupH. Phillip KoefflerMilan R. Uskoković
- Journals
- Blood (10 papers)Leukemia Research (5 papers)British Journal of Haematology (2 papers)American Journal of Nephrology (1 paper)Bone Marrow Transplantation (1 paper)
- Partner nations
- FinlandUnited StatesJapan
In The Last Decade
Seppo Pakkala
33 papers receiving 735 citations
Peers
Comparison fields: 5 of 64
- Hematology 285
- Biochemistry 53
- Pathology and Forensic Medicine 156
- Genetics 220
- Transplantation 20
Countries citing papers authored by Seppo Pakkala
This map shows the geographic impact of Seppo Pakkala'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 Seppo Pakkala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seppo Pakkala more than expected).
Fields of papers citing papers by Seppo Pakkala
This network shows the impact of papers produced by Seppo Pakkala. 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 Seppo Pakkala. The network helps show where Seppo Pakkala may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seppo Pakkala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 6 | |
| 2 | 2002 | 40 | |
| 3 | 2001 | 22 | |
| 4 | 2001 | 26 | |
| 5 | 1999 | 8 | |
| 6 | 1998 | 27 | |
| 7 | 1997 | 14 | |
| 8 | 1996 | 7 | |
| 9 | 1996 | 72 | |
| 10 | Effect of MC1288, a vitamin D analogue, on lymphocyte proliferation in vitro and rat aortic allograft arteriosclerosis in vivo. | 1996 | 3 |
| 11 | 1995 | 59 | |
| 12 | 1995 | 38 | |
| 13 | 1994 | 48 | |
| 14 | 1994 | 7 | |
| 15 | 1994 | 2 | |
| 16 | Monitoring of adult B-cell lineage acute lymphoblastic leukemia: validation of a simple method for detecting immunoglobulin heavy chain gene clonality. | 1993 | 7 |
| 17 | 1992 | 1 | |
| 18 | 1991 | 37 | |
| 19 | 1989 | 5 | |
| 20 | 1988 | 12 |
About Seppo Pakkala
Seppo Pakkala is a scholar working on Hematology, Transplantation, Biochemistry, Molecular Biology and Immunology, having authored 33 papers that have together received 757 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Retinoids in leukemia and cellular processes (10 papers), Estrogen and related hormone effects (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Signaling Pathways in Disease (3 papers), Peptidase Inhibition and Analysis (3 papers), Transplantation: Methods and Outcomes (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Hematology (285 citations), Biochemistry (53 citations), Pathology and Forensic Medicine (156 citations), Genetics (220 citations) and Transplantation (20 citations). Seppo Pakkala has collaborated with scholars based in Finland, United States and Japan. Frequent co-authors include HP Koeffler, Elena Elstner, Masahiro Kizaki, Aarno Palotie, MI Dawson, Lise Binderup, H. Phillip Koeffler, Milan R. Uskoković, Sven de Vos and GJ Schiller. Their work appears in journals such as Blood, Leukemia Research, British Journal of Haematology, American Journal of Nephrology and Bone Marrow Transplantation.
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.