Elli Papaemmanuil

60.8k total citations
99 papers, 3.0k citations indexed

About

Elli Papaemmanuil is a scholar working on Hematology, Molecular Biology and Cancer Research. According to data from OpenAlex, Elli Papaemmanuil has authored 99 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Hematology, 44 papers in Molecular Biology and 29 papers in Cancer Research. Recurrent topics in Elli Papaemmanuil's work include Acute Myeloid Leukemia Research (47 papers), Cancer Genomics and Diagnostics (27 papers) and Multiple Myeloma Research and Treatments (18 papers). Elli Papaemmanuil is often cited by papers focused on Acute Myeloid Leukemia Research (47 papers), Cancer Genomics and Diagnostics (27 papers) and Multiple Myeloma Research and Treatments (18 papers). Elli Papaemmanuil collaborates with scholars based in United States, United Kingdom and Italy. Elli Papaemmanuil's co-authors include Peter J. Campbell, Mel Greaves, Moritz Gerstung, Richard S. Houlston, Niccolò Bolli, Fay J. Hosking, Eve Roman, Sally E. Kinsey, Malcolm Taylor and Tracy Lightfoot and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Elli Papaemmanuil

94 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elli Papaemmanuil United States 30 1.6k 1.6k 661 650 641 99 3.0k
Ilaria Iacobucci Italy 33 2.4k 1.5× 1.1k 0.7× 1.2k 1.8× 1.5k 2.3× 307 0.5× 165 3.7k
Jean‐Michel Cayuela France 33 2.1k 1.4× 1.0k 0.7× 1.4k 2.1× 837 1.3× 252 0.4× 101 3.8k
Brigitte Mohr Germany 30 3.5k 2.3× 1.3k 0.9× 933 1.4× 1.3k 1.9× 389 0.6× 79 4.2k
MM Le Beau United States 31 1.9k 1.2× 1.3k 0.8× 760 1.1× 733 1.1× 261 0.4× 54 3.1k
Tobias Menne United Kingdom 19 659 0.4× 1.3k 0.8× 261 0.4× 866 1.3× 161 0.3× 69 2.6k
Cornelia Eckert Germany 29 1.5k 1.0× 716 0.5× 1.8k 2.8× 330 0.5× 300 0.5× 84 2.9k
Diane Roulston United States 25 1.2k 0.8× 1.7k 1.1× 441 0.7× 380 0.6× 539 0.8× 44 3.3k
Sanam Loghavi United States 31 1.5k 1.0× 826 0.5× 395 0.6× 851 1.3× 256 0.4× 226 2.9k
Lukasz P. Gondek United States 22 1.6k 1.0× 773 0.5× 226 0.3× 701 1.1× 270 0.4× 90 2.0k
Catherine P. Leith United States 17 1.4k 0.9× 921 0.6× 500 0.8× 358 0.6× 155 0.2× 38 2.3k

Countries citing papers authored by Elli Papaemmanuil

Since Specialization
Citations

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

Fields of papers citing papers by Elli Papaemmanuil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elli Papaemmanuil

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

All Works

20 of 20 papers shown
1.
Manca, Paolo, Chin‐Tung Chen, Christina Y. Lee, et al.. (2025). Ultrasensitive ctDNA monitoring for organ preservation in patients with locally advanced rectal cancer. npj Precision Oncology. 10(1). 8–8.
2.
Todisco, Gabriele, Teresa Mortera‐Blanco, Ingrid Lilienthal, et al.. (2025). SF3B1-mutant models of RNA mis-splicing uncover UBA1 as a therapeutic target in myelodysplastic neoplasms. Leukemia. 39(11). 2801–2811. 1 indexed citations
3.
Sigouros, Michael, Andy V. Phan, Max F. Levine, et al.. (2024). Whole-Genome Sequencing Analysis of Male Breast Cancer Unveils Novel Structural Events and Potential Therapeutic Targets. Modern Pathology. 37(4). 100452–100452. 5 indexed citations
4.
5.
Kotini, Andriana G., Elsa Bernard, Davide Esposito, et al.. (2022). Patient-specific MDS-RS iPSCs define the mis-spliced transcript repertoire and chromatin landscape of SF3B1-mutant HSPCs. Blood Advances. 6(10). 2992–3005. 8 indexed citations
6.
Hultcrantz, Malin, Even H. Rustad, Venkata Yellapantula, et al.. (2022). Capture Rate of V(D)J Sequencing for Minimal Residual Disease Detection in Multiple Myeloma. Clinical Cancer Research. 28(10). 2160–2166. 1 indexed citations
7.
Maclachlan, Kylee, Tina Bagratuni, Efstathios Kastritis, et al.. (2022). Waldenström macroglobulinemia whole genome reveals prolonged germinal center activity and late copy number aberrations. Blood Advances. 7(6). 971–981. 1 indexed citations
8.
Smith, Catherine C., Aaron D. Viny, Evan Massi, et al.. (2021). Recurrent Mutations in Cyclin D3 Confer Clinical Resistance to FLT3 Inhibitors in Acute Myeloid Leukemia. Clinical Cancer Research. 27(14). 4003–4011. 11 indexed citations
9.
Kushner, Brian H., Shakeel Modak, Ellen M. Basu, et al.. (2021). Association of BRAF V600E mutations with vasoactive intestinal peptide syndrome in MYCN‐amplified neuroblastoma. Pediatric Blood & Cancer. 68(10). e29265–e29265. 8 indexed citations
10.
Lamprianidou, Eleftheria, Anastasiya Kazachenka, Elsa Bernard, et al.. (2021). Modulation of IL-6/STAT3 signaling axis in CD4+FOXP3− T cells represents a potential antitumor mechanism of azacitidine. Blood Advances. 5(1). 129–142. 7 indexed citations
12.
Sasca, Daniel, Haiyang Yun, George Giotopoulos, et al.. (2019). Cohesin-dependent regulation of gene expression during differentiation is lost in cohesin-mutated myeloid malignancies. Blood. 134(24). 2195–2208. 39 indexed citations
13.
Yellapantula, Venkata D., Malin Hultcrantz, Even H. Rustad, et al.. (2019). Comprehensive detection of recurring genomic abnormalities: a targeted sequencing approach for multiple myeloma. Blood Cancer Journal. 9(12). 101–101. 35 indexed citations
14.
Kazandjian, Dickran, Elizabeth Hill, Malin Hultcrantz, et al.. (2019). Molecular underpinnings of clinical disparity patterns in African American vs. Caucasian American multiple myeloma patients. Genetics Research. 4 indexed citations
15.
Fleming, Shaun, Cheng‐Hong Tsai, Hartmut Döhner, et al.. (2019). Use of Machine Learning in 2074 Cases of Acute Myeloid Leukemia for Genetic Risk Profiling. Blood. 134(Supplement_1). 1392–1392. 9 indexed citations
16.
Diolaiti, Daniel, Filemon S. Dela Cruz, Gunes Gundem, et al.. (2018). A recurrent novel MGA–NUTM1 fusion identifies a new subtype of high-grade spindle cell sarcoma. Molecular Case Studies. 4(6). a003194–a003194. 39 indexed citations
17.
Amatangelo, Michael, Lynn Quek, Alan H. Shih, et al.. (2017). Enasidenib induces acute myeloid leukemia cell differentiation to promote clinical response. Blood. 130(6). 732–741. 249 indexed citations
18.
Malcovati, Luca, Anna Gallì, Erica Travaglino, et al.. (2016). Predictive Value of Mutation Analysis in the Diagnostic Approach to Patients with Unexplained Cytopenia. Blood. 128(22). 298–298. 1 indexed citations
19.
Potter, Nicola, Luca Ermini, Elli Papaemmanuil, et al.. (2013). Single-cell mutational profiling and clonal phylogeny in cancer. Genome Research. 23(12). 2115–2125. 86 indexed citations
20.
Prasad, Rashmi B., Fay J. Hosking, Jayaram Vijayakrishnan, et al.. (2009). Verification of the susceptibility loci on 7p12.2, 10q21.2, and 14q11.2 in precursor B-cell acute lymphoblastic leukemia of childhood. Blood. 115(9). 1765–1767. 91 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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