Manuela Imola

516 total citations
10 papers, 252 citations indexed

About

Manuela Imola is a scholar working on Hematology, Molecular Biology and Surgery. According to data from OpenAlex, Manuela Imola has authored 10 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 5 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Manuela Imola's work include Multiple Myeloma Research and Treatments (5 papers), Acute Myeloid Leukemia Research (2 papers) and Protein Degradation and Inhibitors (2 papers). Manuela Imola is often cited by papers focused on Multiple Myeloma Research and Treatments (5 papers), Acute Myeloid Leukemia Research (2 papers) and Protein Degradation and Inhibitors (2 papers). Manuela Imola collaborates with scholars based in Italy and United Kingdom. Manuela Imola's co-authors include Pier Paolo Fattori, Valentina Arcangeli, Lorenzo Gianni, Paolo Fabbri, Ilaria Panzini, Alberto Ravaioli, Debora Canuti, Francesco Lanza, Daniele Laszlò and Massimo Martino and has published in prestigious journals such as Transfusion, Viruses and European Journal of Cancer Care.

In The Last Decade

Manuela Imola

10 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuela Imola Italy 5 150 90 74 66 60 10 252
Barbara Omazzi Italy 7 92 0.6× 53 0.6× 15 0.2× 91 1.4× 104 1.7× 26 271
W R Martin Germany 8 242 1.6× 31 0.3× 74 1.0× 134 2.0× 254 4.2× 20 357
Heinz‐Gert Höffkes Germany 7 32 0.2× 29 0.3× 65 0.9× 30 0.5× 19 0.3× 9 163
Paulo Freire Portugal 11 78 0.5× 166 1.8× 8 0.1× 45 0.7× 188 3.1× 24 319
Y T Ko South Korea 5 37 0.2× 21 0.2× 24 0.3× 34 0.5× 199 3.3× 9 329
Joseph Vadakara United States 5 30 0.2× 31 0.3× 17 0.2× 25 0.4× 13 0.2× 19 89
Sang Heon Lee South Korea 10 151 1.0× 77 0.9× 4 0.1× 107 1.6× 104 1.7× 33 300
Judy A. Trieu United States 8 54 0.4× 14 0.2× 21 0.3× 17 0.3× 80 1.3× 35 157
S Avery Australia 8 19 0.1× 16 0.2× 145 2.0× 79 1.2× 37 0.6× 15 270
Andrés Castaño‐García Spain 6 69 0.5× 17 0.2× 8 0.1× 61 0.9× 72 1.2× 18 161

Countries citing papers authored by Manuela Imola

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Imola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Imola

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

All Works

10 of 10 papers shown
1.
Zannoli, Silvia, Giorgio Dirani, Simona Semprini, et al.. (2023). Viral Population Heterogeneity and Fluctuating Mutational Pattern during a Persistent SARS-CoV-2 Infection in an Immunocompromised Patient. Viruses. 15(2). 291–291. 10 indexed citations
2.
Zannetti, Beatrice Anna, Francesco Saraceni, Claudia Cellini, et al.. (2021). Low-Dose Cyclophosphamide versus Intermediate-High-Dose Cyclophosphamide versus Granulocyte Colony-Stimulating Factor Alone for Stem Cell Mobilization in Multiple Myeloma in the Era of Novel Agents: A Multicenter Retrospective Study. Transplantation and Cellular Therapy. 27(3). 244.e1–244.e8. 20 indexed citations
3.
Tosi, Patrizia, et al.. (2015). Multiple Myeloma and Renal Failure. 65–69. 1 indexed citations
5.
Lanza, Francesco, Roberto M. Lemoli, Attilio Olivieri, et al.. (2013). Factors affecting successful mobilization with plerixafor: an Italian prospective survey in 215 patients with multiple myeloma and lymphoma. Transfusion. 54(2). 331–339. 48 indexed citations
6.
Tosi, Patrizia, Manuela Imola, Annalia Molinari, et al.. (2012). UPDATE ON THE ROLE OF AUTOLOGOUS HEMATOPOIETIC STEM CELL TRANSPLANTATION IN MULTIPLE MYELOMA. Mediterranean Journal of Hematology and Infectious Diseases. 4(1). e2012069–e2012069. 1 indexed citations
7.
Imola, Manuela, Elena Pasini, Fabrizio Drudi, et al.. (2012). Emergency hemicolectomy for intestinal primary aspergillosis in acute myeloid leukemia.. PubMed. 33(3). 74–6. 3 indexed citations
8.
Tassinari, Davide, Giovenzio Genestreti, E. Pasquini, et al.. (2005). Efficacy of Two Different Platinum- or Anthracycline- Containing Chemotherapy Regimens for the Treatment of Small Cell Lung Cancer. Journal of Chemotherapy. 17(2). 228–236. 2 indexed citations
9.
Zucchini, A, Pier Paolo Fattori, Francesco Lanza, et al.. (2005). Biphenotypic acute leukemia: a case report.. PubMed. 18(3-4). 387–91. 4 indexed citations
10.
Panzini, Ilaria, Lorenzo Gianni, Pier Paolo Fattori, et al.. (2002). Adjuvant chemotherapy in gastric cancer: a meta-analysis of randomized trials and a comparison with previous meta-analyses.. PubMed. 88(1). 21–7. 156 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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