Caroline A. Heckman

7.4k total citations
135 papers, 3.6k citations indexed

About

Caroline A. Heckman is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Caroline A. Heckman has authored 135 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 74 papers in Hematology and 29 papers in Oncology. Recurrent topics in Caroline A. Heckman's work include Acute Myeloid Leukemia Research (44 papers), Multiple Myeloma Research and Treatments (25 papers) and Protein Degradation and Inhibitors (24 papers). Caroline A. Heckman is often cited by papers focused on Acute Myeloid Leukemia Research (44 papers), Multiple Myeloma Research and Treatments (25 papers) and Protein Degradation and Inhibitors (24 papers). Caroline A. Heckman collaborates with scholars based in Finland, United States and Sweden. Caroline A. Heckman's co-authors include Linda M. Boxer, Hong Duan, Kimmo Porkka, Olli Kallioniemi, Muntasir Mamun Majumder, Magdalena Arcinas, Samuli Eldfors, Krister Wennerberg, Mika Kontro and Kari Alitalo and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Caroline A. Heckman

123 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caroline A. Heckman Finland	31	2.2k	993	822	662	504	135	3.6k
Mohamed Rahmani United States	47	3.9k 1.8×	1.4k 1.4×	1.2k 1.5×	554 0.8×	610 1.2×	95	5.7k
Daniele Caracciolo Italy	35	1.9k 0.9×	1.1k 1.2×	1.2k 1.5×	920 1.4×	416 0.8×	121	4.0k
John F. Lyons United States	32	2.7k 1.2×	1.3k 1.3×	577 0.7×	551 0.8×	321 0.6×	81	4.3k
Huimin Geng United States	31	1.9k 0.9×	768 0.8×	497 0.6×	372 0.6×	387 0.8×	115	3.3k
Emma Shtivelman United States	33	2.4k 1.1×	931 0.9×	1.4k 1.6×	602 0.9×	903 1.8×	42	4.2k
Alwin Krämer Germany	39	4.0k 1.8×	2.2k 2.2×	835 1.0×	814 1.2×	395 0.8×	124	5.9k
Mariateresa Fulciniti United States	34	2.6k 1.2×	1.5k 1.5×	1.4k 1.7×	599 0.9×	272 0.5×	155	4.1k
Warren Fiskus United States	48	5.1k 2.3×	1.2k 1.2×	1.7k 2.1×	468 0.7×	818 1.6×	141	6.3k
Peter Blume‐Jensen United States	18	3.3k 1.5×	1.3k 1.3×	488 0.6×	454 0.7×	384 0.8×	25	5.0k
Lynn C. Moscinski United States	31	2.8k 1.3×	2.0k 2.1×	1.3k 1.6×	996 1.5×	642 1.3×	129	5.1k

Countries citing papers authored by Caroline A. Heckman

Since Specialization

Citations

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

Fields of papers citing papers by Caroline A. Heckman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline A. Heckman. 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 Caroline A. Heckman. The network helps show where Caroline A. Heckman may publish in the future.

Co-authorship network of co-authors of Caroline A. Heckman

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline A. Heckman. A scholar is included among the top collaborators of Caroline A. Heckman 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 Caroline A. Heckman. Caroline A. Heckman 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

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

Mirzaie, Mehdi, Juho J. Miettinen, Tanja Ruokoranta, et al.. (2024). Designing patient-oriented combination therapies for acute myeloid leukemia based on efficacy/toxicity integration and bipartite network modeling. Oncogenesis. 13(1). 9 indexed citations

Kuusanmäki, Heikki, Mari Björkman, Juho Jalkanen, et al.. (2023). Abstract A14: Ex vivo immune activation with the macrophage-targeting immunotherapy, anti-Clever-1 antibody bexmarilimab, in acute myeloid leukemia and myelodysplastic syndrome. Blood Cancer Discovery. 4(3_Supplement). A14–A14. 1 indexed citations

Tsubouchi, Asako, Juho J. Miettinen, Keisuke Wagatsuma, et al.. (2023). Label-Free High Dimensional Single Cell Morphological Profiling of Different Hematological Malignancies By Ghost Cytometry. Blood. 142(Supplement 1). 5347–5347. 1 indexed citations

Katsenou, Angeliki, et al.. (2023). Using Proteomics Data to Identify Personalized Treatments in Multiple Myeloma: A Machine Learning Approach. International Journal of Molecular Sciences. 24(21). 15570–15570. 5 indexed citations

Bazou, Despina, Michael Henry, Paula Meleady, et al.. (2023). Proteomic and Metabolomic Analysis of Bone Marrow and Plasma from Patients with Extramedullary Multiple Myeloma Identifies Distinct Protein and Metabolite Signatures. Cancers. 15(15). 3764–3764. 4 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

Okoye-Okafor, Ujunwa Cynthia, Komal Kumar Javarappa, Joseph Saad, et al.. (2022). Megakaryopoiesis impairment through acute innate immune signaling activation by azacitidine. The Journal of Experimental Medicine. 219(11). 1 indexed citations

10.

Miettinen, Juho J., Toni-Karri Pakarinen, Mikko Manninen, et al.. (2022). Growth Response and Differentiation of Bone Marrow-Derived Mesenchymal Stem/Stromal Cells in the Presence of Novel Multiple Myeloma Drug Melflufen. Cells. 11(9). 1574–1574. 5 indexed citations

11.

Junna, Nella, Martin Broberg, Samuel E. Jones, et al.. (2022). Large registry-based analysis of genetic predisposition to tuberculosis identifies genetic risk factors at HLA. Human Molecular Genetics. 32(1). 161–171. 2 indexed citations

12.

Miettinen, Juho J., Romika Kumari, Gunnhildur Ásta Traustadóttir, et al.. (2021). Aminopeptidase Expression in Multiple Myeloma Associates with Disease Progression and Sensitivity to Melflufen. Cancers. 13(7). 1527–1527. 39 indexed citations

13.

Kankainen, Matti, et al.. (2021). Comparison of Structural and Short Variants Detected by Linked-Read and Whole-Exome Sequencing in Multiple Myeloma. Cancers. 13(6). 1212–1212. 7 indexed citations

14.

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

15.

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

16.

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

17.

Javarappa, Komal Kumar, et al.. (2018). A Multiplexed Screening Assay to Evaluate Chemotherapy-Induced Myelosuppression Using Healthy Peripheral Blood and Bone Marrow. SLAS DISCOVERY. 23(7). 687–696. 20 indexed citations

18.

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

19.

Sulonen, Anna-Maija, Pekka Ellonen, Henrikki Almusa, et al.. (2011). Comparison of solution-based exome capture methods for next generation sequencing. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 1 indexed citations

20.

Heckman, Caroline A., et al.. (1997). The WT1 Protein Is a Negative Regulator of the Normalbcl-2 Allele in t(14;18) Lymphomas. Journal of Biological Chemistry. 272(31). 19609–19614. 69 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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