Elisa Rumi

775 total citations
10 papers, 443 citations indexed

About

Elisa Rumi is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Elisa Rumi has authored 10 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Hematology and 5 papers in Molecular Biology. Recurrent topics in Elisa Rumi's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Acute Myeloid Leukemia Research (5 papers) and Kruppel-like factors research (5 papers). Elisa Rumi is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Acute Myeloid Leukemia Research (5 papers) and Kruppel-like factors research (5 papers). Elisa Rumi collaborates with scholars based in Italy, Austria and United States. Elisa Rumi's co-authors include Francesco Passamonti, Daniela Pietra, Chiara Elena, Luca Arcaini, Emanuela Boveri, C. Pascutto, C. Astori, Mario Lazzarino, Sabrina Boggi and Ercole Brusamolino and has published in prestigious journals such as Blood, Haematologica and HemaSphere.

In The Last Decade

Elisa Rumi

10 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elisa Rumi Italy	6	428	323	267	140	11	10	443
Blanka Kubešová Czechia	3	245 0.6×	191 0.6×	142 0.5×	88 0.6×	3 0.3×	6	257
Gaëlle Vertenoeil Belgium	4	216 0.5×	184 0.6×	136 0.5×	55 0.4×	12 1.1×	7	247
Alessandro M. Vannucchi Italy	4	290 0.7×	163 0.5×	184 0.7×	153 1.1×	12 1.1×	8	303
M. Cazzola Italy	2	278 0.6×	184 0.6×	186 0.7×	135 1.0×	11 1.0×	3	291
Benedetta Sordi Italy	4	140 0.3×	118 0.4×	78 0.3×	54 0.4×	5 0.5×	9	169
Lingsha Zhou United States	12	377 0.9×	344 1.1×	214 0.8×	138 1.0×	1 0.1×	34	424
Blanca Navarro Spain	8	131 0.3×	101 0.3×	110 0.4×	51 0.4×	6 0.5×	15	183
Miklós Egyed Hungary	7	156 0.4×	100 0.3×	94 0.4×	51 0.4×	3 0.3×	23	171
Jocelin Huang United States	8	200 0.5×	171 0.5×	104 0.4×	73 0.5×		13	226
Faye Feller United States	7	97 0.2×	124 0.4×	110 0.4×	24 0.2×	3 0.3×	25	187

Countries citing papers authored by Elisa Rumi

Since Specialization

Citations

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

Fields of papers citing papers by Elisa Rumi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Rumi

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

Casetti, Ilaria Carola, Daniela Pietra, Virginia Valeria Ferretti, et al.. (2022). P984: MUTATIONAL PATTERNS IN PH-NEGATIVE MYELOPROLIFERATIVE NEOPLASMS (MPN). HemaSphere. 6. 874–875. 2 indexed citations

Feenstra, Jelena D. Milosevic, Emilie Leroy, Elisa Rumi, et al.. (2015). Whole Exome Sequencing Identifies Novel MPL and JAK2 M utations in Triple Negative Myeloproliferative Neoplasms. Blood. 126(23). 606–606. 1 indexed citations

Barbui, Tiziano, Alessandra Carobbio, Elisa Rumi, et al.. (2014). In Contemporary Patients with Polycythemia Vera, Rates of Thrombosis and Risk Factors Delineate a New Clinical Epidemiology. Blood. 124(21). 1822–1822. 5 indexed citations

Pietra, Daniela, Angela Brisci, Elisa Rumi, et al.. (2011). Deep sequencing reveals double mutations in cis of MPL exon 10 in myeloproliferative neoplasms. Haematologica. 96(4). 607–611. 52 indexed citations

Olcaydu, Damla, Elisa Rumi, Ashot S. Harutyunyan, et al.. (2010). The role of the JAK2 GGCC haplotype and the TET2 gene in familial myeloproliferative neoplasms. Haematologica. 96(3). 367–374. 45 indexed citations

Elena, Chiara, Francesco Passamonti, Elisa Rumi, et al.. (2010). Red blood cell transfusion-dependency implies a poor survival in primary myelofibrosis irrespective of IPSS and DIPSS. Haematologica. 96(1). 167–170. 54 indexed citations

Rumi, Elisa, Francesco Passamonti, Chiara Elena, et al.. (2010). Increased risk of lymphoid neoplasm in patients with myeloproliferative neoplasm: a study of 1,915 patients. Haematologica. 96(3). 454–458. 40 indexed citations

Passamonti, Francesco, Elisa Rumi, Luca Arcaini, et al.. (2008). Prognostic factors for thrombosis, myelofibrosis, and leukemia in essential thrombocythemia: a study of 605 patients. Haematologica. 93(11). 1645–1651. 177 indexed citations

Cervantes, Francisco, Brigitte Dupriez, Arturo Pereira, et al.. (2008). A New Prognostic Scoring System for Primary Myelofibrosis Based on a Study of the International Working Group for Myelofibrosis Research and Treatment. Blood. 112(11). 657–657. 62 indexed citations

10.

Passamonti, Francesco, Elisa Rumi, Chiara Elena, et al.. (2007). A Dynamic Prognostic Model To Predict Survival in Post-Polycythemia Vera Myelofibrosis.. Blood. 110(11). 2547–2547. 5 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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