Seppo Pakkala

923 citations
33 papers · 757 · h-index 15

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 10
    • Cancer-related gene regulation 3
    • Signaling Pathways in Disease 3
    • Genomics and Chromatin Dynamics 3
    • Acute Myeloid Leukemia Research 12

Seppo Pakkala

33 papers receiving 740 citations

Peers

Seppo Pakkala
Comparison fields: 5 of 61
  • Hematology 273
  • Pathology and Forensic Medicine 154
  • Biochemistry 49
  • Genetics 200
  • Transplantation 17
Replace Elisa Luño with:
Elisa Luño Spain
R Masciulli Italy
Edward So United States
Letizia Longo Italy
Francisco Tejada Cifuentes Spain
Yoshiki Okuyama Japan
Lilach Bonstein Israel
Jia-Xi Mao China
Celina Montemayor United States
Constantina Sambani Greece
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Citations per field
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Citations per year

Countries citing papers authored by Seppo Pakkala

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Seppo Pakkala Line = papers co-authored together Seppo Pakkala links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199398
2 199672
3 199559
4 199149
5 199448
6 199445
7 199444
8 200240
9 199538
10 199137
11
Hypermethylation of the calcitonin gene in the myelodysplastic syndromes.
199328
12 199827
13 200126
14 200122
15 199714
16 198812
17 199312
18
Paternity after bone marrow transplantation following conditioning with total body irradiation.
199410
19
MC1288, a vitamin D analogue, reduces short- and long-term renal allograft rejection in the rat.
199610
20 19998

About Seppo Pakkala

Seppo Pakkala is a scholar working on Molecular Biology, Hematology, Genetics, Oncology 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), Cancer-related gene regulation (3 papers), Peptidase Inhibition and Analysis (3 papers), Signaling Pathways in Disease (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Hematology (273 citations), Pathology and Forensic Medicine (154 citations), Biochemistry (49 citations), Genetics (200 citations) and Transplantation (17 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, H. Phillip Koeffler, Lise Binderup, Sven de Vos, Milan R. Uskoković and GJ Schiller. Their work appears in journals such as Blood, Leukemia Research, British Journal of Haematology, Clinical Transplantation and International Journal of Clinical & Laboratory Research.

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.

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