Aino‐Maija Leppä

543 total citations
10 papers, 129 citations indexed

About

Aino‐Maija Leppä is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Aino‐Maija Leppä has authored 10 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Aino‐Maija Leppä's work include Acute Myeloid Leukemia Research (6 papers), Immune Cell Function and Interaction (3 papers) and Immune cells in cancer (2 papers). Aino‐Maija Leppä is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Immune Cell Function and Interaction (3 papers) and Immune cells in cancer (2 papers). Aino‐Maija Leppä collaborates with scholars based in Germany, Finland and United Kingdom. Aino‐Maija Leppä's co-authors include Satu Mustjoki, Kimmo Porkka, Bjørn Tore Gjertsen, Caroline A. Heckman, Olli Dufva, Petri Pölönen, Bhagwan Yadav, Mika Kontro, Ashwini Kumar and Heikki Kuusanmäki and has published in prestigious journals such as Blood, Science Advances and Annals of Oncology.

In The Last Decade

Aino‐Maija Leppä

7 papers receiving 129 citations

Peers

Aino‐Maija Leppä

HEMAT

MB

GENET

PHEOH

CR

Tomoaki Kitano Japan

Ann-Kathrin Eisfeld United States

Y. Lucy Liu United States

Kristen Meldi United States

Evan Massi United States

Harald Polzer Germany

Sorcha O’Byrne United Kingdom

Bettina Moehrle Germany

RosaAnna DeFilippis United States

Maria Chiara Fontana Italy

Tomoaki Kitano Japan

Aino‐Maija Leppä

79 ×0.8

HEMAT

72 ×1.0

MB

33 ×1.2

GENET

17 ×1.1

PHEOH

23 ×1.5

CR

Citations per year, relative to Aino‐Maija Leppä Aino‐Maija Leppä (= 1×) peers Tomoaki Kitano

Countries citing papers authored by Aino‐Maija Leppä

Since Specialization

Citations

This map shows the geographic impact of Aino‐Maija Leppä'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 Aino‐Maija Leppä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aino‐Maija Leppä more than expected).

Fields of papers citing papers by Aino‐Maija Leppä

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aino‐Maija Leppä. 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 Aino‐Maija Leppä. The network helps show where Aino‐Maija Leppä may publish in the future.

Co-authorship network of co-authors of Aino‐Maija Leppä

This figure shows the co-authorship network connecting the top 25 collaborators of Aino‐Maija Leppä. A scholar is included among the top collaborators of Aino‐Maija Leppä based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aino‐Maija Leppä. Aino‐Maija Leppä is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Renders, Simon, Alexander Waclawiczek, Ricarda Schwab, et al.. (2025). Prospective clinical validation of MAC-scoring as an affordable, real-time biomarker for HMA/venetoclax response in AML. Blood. 146(Supplement 1). 3493–3493.

2.

Waclawiczek, Alexander, Aino‐Maija Leppä, Simon Renders, & Andreas Trumpp. (2024). An arms‐race against resistance: leukemic stem cells and lineage plasticity. Molecular Oncology. 18(3). 475–478. 3 indexed citations

3.

Brodkin, Jesse, Tuomas Kaprio, Harri Mustonen, et al.. (2024). 489P SDF-1alpha, SCF, and eotaxin are prognostic serum biomarkers in gastric cancer. Annals of Oncology. 35. S194–S195.

4.

Kaprio, Tuomas, Jaana Hagström, Aino‐Maija Leppä, et al.. (2024). Prognostic effect of immunohistochemically determined molecular subtypes in gastric cancer. BMC Cancer. 24(1). 1 indexed citations

5.

Stelmach, Patrick, Dominik Vonficht, Dawn Lin, et al.. (2024). Mapping Genotype to Phenotype in Clonal Hematopoiesis Uncovers Downregulated MHC-II Molecules in DNMT3AR882 - Mutant Hematopoietic Stem Cells. Blood. 144(Supplement 1). 1292–1292. 1 indexed citations

6.

Neumaier, Michael, Volker Ast, Eileen Reinz, et al.. (2023). Opsonization-independent antigen-specific recognition by myeloid phagocytes expressing monoclonal antibodies. Science Advances. 9(35). eadg1812–eadg1812.

7.

Karpova, Darja, Hector Huerga Encabo, Elisa Donato, et al.. (2022). Frequent Whole Blood Donations Select for DNMT3A variants Mediating Enhanced Response to Erythropoietin. Blood. 140(Supplement 1). 8605–8606. 1 indexed citations

8.

Renders, Simon, Aino‐Maija Leppä, Alexander Waclawiczek, et al.. (2021). Leukemic Stem Cells of Monocytic AMLs Are Not-Resistant to BCL-2 Inhibition. Blood. 138(Supplement 1). 3469–3469. 1 indexed citations

9.

Kuusanmäki, Heikki, Aino‐Maija Leppä, Petri Pölönen, et al.. (2019). Phenotype-based drug screening reveals association between venetoclax response and differentiation stage in acute myeloid leukemia. Haematologica. 105(3). 708–720. 106 indexed citations

10.

Majumder, Muntasir Mamun, Aino‐Maija Leppä, Monica Hellesøy, et al.. (2019). Multi-parametric single cell evaluation defines distinct drug responses in healthy hematologic cells that are retained in corresponding malignant cell types. Haematologica. 105(6). 1527–1538. 16 indexed citations

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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