Kimmo Porkka

24.2k total citations · 2 hit papers
231 papers, 9.9k citations indexed

About

Kimmo Porkka is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Kimmo Porkka has authored 231 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Hematology, 92 papers in Genetics and 60 papers in Molecular Biology. Recurrent topics in Kimmo Porkka's work include Chronic Myeloid Leukemia Treatments (91 papers), Chronic Lymphocytic Leukemia Research (88 papers) and Acute Myeloid Leukemia Research (47 papers). Kimmo Porkka is often cited by papers focused on Chronic Myeloid Leukemia Treatments (91 papers), Chronic Lymphocytic Leukemia Research (88 papers) and Acute Myeloid Leukemia Research (47 papers). Kimmo Porkka collaborates with scholars based in Finland, United States and Sweden. Kimmo Porkka's co-authors include Tapio Visakorpi, Erkki Ruoslahti, Jorma Viikari, Pirjo Laakkonen, Satu Mustjoki, Teuvo L.J. Tammela, Robert L. Vessella, Jason A. Hoffman, Simo Taimela and Kati K. Waltering and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Kimmo Porkka

224 papers receiving 9.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MicroRNA Expression Profiling in Prostate Cancer

2007 758 citations Kimmo Porkka, Minja J. Pfeiffer et al. Cancer Research profile →
European LeukemiaNet recommendations for the management and avoidance of adverse events of treatment in chronic myeloid leukaemia

2016 330 citations Andreas Hochhaus, Kimmo Porkka et al. Leukemia profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kimmo Porkka Finland	52	3.5k	3.2k	2.5k	1.6k	1.5k	231	9.9k
Jane L. Liesveld United States	47	2.8k 0.8×	3.7k 1.2×	1.4k 0.6×	776 0.5×	2.3k 1.6×	252	8.3k
Eunice S. Wang United States	46	3.0k 0.9×	3.1k 1.0×	1.0k 0.4×	636 0.4×	1.8k 1.2×	343	7.1k
Stanton L. Gerson United States	62	7.0k 2.0×	2.5k 0.8×	5.1k 2.1×	2.1k 1.3×	3.6k 2.4×	290	15.2k
Gregory H. Reaman United States	68	4.2k 1.2×	3.1k 1.0×	2.7k 1.1×	1.1k 0.7×	3.6k 2.5×	306	15.8k
Beverly J. Lange United States	64	3.4k 1.0×	5.0k 1.6×	1.8k 0.7×	482 0.3×	2.1k 1.4×	213	11.5k
Sergio Amadori Italy	58	4.1k 1.2×	9.9k 3.1×	3.7k 1.5×	734 0.5×	3.4k 2.3×	363	15.5k
Carsten Müller‐Tidow Germany	64	11.4k 3.2×	5.3k 1.6×	1.8k 0.7×	4.3k 2.7×	4.3k 3.0×	492	18.0k
Ardeshir Ghavamzadeh Iran	36	2.3k 0.6×	2.0k 0.6×	2.0k 0.8×	605 0.4×	1.0k 0.7×	363	6.5k
Sonja Zweegman Netherlands	55	5.1k 1.4×	6.5k 2.0×	1.5k 0.6×	488 0.3×	4.6k 3.2×	334	10.4k
D. Niethammer Germany	52	2.2k 0.6×	3.8k 1.2×	822 0.3×	589 0.4×	2.3k 1.5×	289	9.0k

Countries citing papers authored by Kimmo Porkka

Since Specialization

Citations

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

Fields of papers citing papers by Kimmo Porkka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimmo Porkka. 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 Kimmo Porkka. The network helps show where Kimmo Porkka may publish in the future.

Co-authorship network of co-authors of Kimmo Porkka

This figure shows the co-authorship network connecting the top 25 collaborators of Kimmo Porkka. A scholar is included among the top collaborators of Kimmo Porkka 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 Kimmo Porkka. Kimmo Porkka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Yingjia, Liye He, Aleksandr Ianevski, et al.. (2025). A Machine Learning–Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia. Cancer Research. 85(14). 2753–2768. 4 indexed citations

Özkırımlı, Elif, Stefanie Bendels, Candice Jamois, et al.. (2025). Enhancing Severe Neutropenia Prediction: PKPD ‐Informed Labeling for Machine Learning Models Trained on Real‐World Data. Clinical Pharmacology & Therapeutics. 119(2). 427–436.

Verbiest, Annelies, Ilkka Ilonen, Michael Franz, et al.. (2025). 1867P FALCON-Lung: Evolving global ICI treatment patterns and outcomes in the era of personalized mNSCLC treatment. Annals of Oncology. 36. S1004–S1004. 1 indexed citations

Eldfors, Samuli, Vineet K. Sharma, Claudia Cabrera, et al.. (2024). 3067 – ATR/CHK1/WEE1 DEPENDENCY IN SRSF2-MUTATED MDS/AML. Experimental Hematology. 137. 104389–104389.

Ianevski, Aleksandr, Wojciech Senkowski, Daria Bulanova, et al.. (2024). Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clones. Nature Communications. 15(1). 8579–8579. 13 indexed citations

Eldfors, Samuli, Joseph Saad, Disha Malani, et al.. (2024). Monosomy 7/del(7q) cause sensitivity to inhibitors of nicotinamide phosphoribosyltransferase in acute myeloid leukemia. Blood Advances. 8(7). 1621–1633. 3 indexed citations

Nieminen, Taina T., Mika Kontro, Matti Kankainen, et al.. (2023). Identification of DHX40 as a candidate susceptibility gene for colorectal and hematological neoplasia. Leukemia. 37(11). 2301–2305. 1 indexed citations

Ianevski, Aleksandr, Jenni Lahtela, Komal Kumar Javarappa, et al.. (2021). Patient-tailored design for selective co-inhibition of leukemic cell subpopulations. Science Advances. 7(8). 27 indexed citations

Brück, Oscar, Helena Hohtari, Aleksandr Ianevski, et al.. (2021). Machine Learning of Bone Marrow Histopathology Identifies Genetic and Clinical Determinants in Patients with MDS. Blood Cancer Discovery. 2(3). 238–249. 36 indexed citations

10.

Awad, Shady Adnan, Matti Kankainen, Teija Ojala, et al.. (2020). Mutation accumulation in cancer genes relates to nonoptimal outcome in chronic myeloid leukemia. Blood Advances. 4(3). 546–559. 38 indexed citations

11.

Pölönen, Petri, Juha Mehtonen, Jake Lin, et al.. (2019). Hemap: An Interactive Online Resource for Characterizing Molecular Phenotypes across Hematologic Malignancies. Cancer Research. 79(10). 2466–2479. 19 indexed citations

12.

Staber, Philipp B., Marco Herling, Mar Bellido, et al.. (2019). Consensus criteria for diagnosis, staging, and treatment response assessment of T-cell prolymphocytic leukemia. Blood. 134(14). 1132–1143. 67 indexed citations

13.

Hekim, Can, Mette Ilander, Jun Yan, et al.. (2017). Dasatinib Changes Immune Cell Profiles Concomitant with Reduced Tumor Growth in Several Murine Solid Tumor Models. Cancer Immunology Research. 5(2). 157–169. 37 indexed citations

14.

Awad, Shady Adnan, Matti Kankainen, Samuli Eldfors, et al.. (2017). Identification of Progression-Associated Mutations in Chronic Myeloid Leukemia (CML) By Comparative Genomic Analysis. Blood. 130. 250–250. 1 indexed citations

15.

Thielen, Noortje, Johan Richter, Gisela Barbany, et al.. (2016). Leukemic Stem Cell Quantification in Newly Diagnosed Patients With Chronic Myeloid Leukemia Predicts Response to Nilotinib Therapy. Clinical Cancer Research. 22(16). 4030–4038. 14 indexed citations

16.

Valori, Miko, Lilja Jansson, Kimmo Porkka, et al.. (2016). Lymphoid somatic mutations in multiple sclerosis. Multiple Sclerosis Journal. 22. 170–171. 2 indexed citations

17.

Pajukanta, Päivi, Marjatta Antikainen, Kimmo Porkka, et al.. (2012). No evidence of linkage between familial combined hyperlipidemia and genes encoding lipolytic enzymes.. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari).

18.

Porkka, Kimmo, Minja J. Pfeiffer, Kati K. Waltering, et al.. (2007). MicroRNA Expression Profiling in Prostate Cancer. Cancer Research. 67(13). 6130–6135. 758 indexed citations breakdown →

19.

Christian, Sven, Ján Pilch, Kimmo Porkka, Pirjo Laakkonen, & Erkki Ruoslahti. (2003). Nucleolin expressed at the cell surface is a marker of endothelial cells in tumor blood vessels. Blood. 102(11). 1016. 17 indexed citations

20.

Raitakari, Olli T., Kimmo Porkka, Mikael Knip, et al.. (1995). The role of insulin in clustering of serum lipids and blood pressure in children and adolescents. Diabetologia. 38(9). 1042–1050. 171 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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