Fermina M. Mazzella

579 citations
18 papers · 387 indexed · h-index 11
Topics
Acute Myeloid Leukemia Research (6 papers)Hemoglobinopathies and Related Disorders (4 papers)Hematological disorders and diagnostics (3 papers)

In The Last Decade

Fermina M. Mazzella

17 papers receiving 368 citations

Peers

Fermina M. Mazzella
Comparison fields: 5 of 60
  • Hematology 130
  • Molecular Biology 116
  • Genetics 100
  • Immunology 78
  • Cancer Research 66
Replace A. Degrassi with:
A. Degrassi Italy
Vesna Pulko United States
Elizabeth L. Engle United States
Christina Kober Germany
Ashanti Dantanarayana Australia
S. Battistin Italy
Yoko Mizoguchi Japan
Gilles Iserentant Luxembourg
Jay B. Horowitz United States
Cécile Le Saout United States
Fermina M. Mazzella relative to A. Degrassi Italy A. Degrassi's profile →
Citations per field
00.5×10×17×
A. Degrassi · 1×
Citations per year

Countries citing papers authored by Fermina M. Mazzella

Since Specialization
Citations

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

Fields of papers citing papers by Fermina M. Mazzella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fermina M. Mazzella. 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 Fermina M. Mazzella. The network helps show where Fermina M. Mazzella may publish in the future.

Co-authorship network of co-authors of Fermina M. Mazzella

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2
PEG-Asparaginase Based Multidrug Chemotherapy is Effective for Refractory Disseminated Extranodal NK/T-Cell Lymphoma With Leptomentigeal Involvement: A Clinical Case Report and Review of Literature
1
3 43
4 59
5 10
6 13
7 3
8 88
9 6
10 41
11 12
12 20
13 3
14 42
15
A case of concurrent presentation of human ehrlichiosis and Lyme disease in Connecticut.
6
16 26
17 0
18 12

About Fermina M. Mazzella

Fermina M. Mazzella is a scholar working on Genetics, Hematology and Emergency Medicine, having authored 18 papers that have together received 387 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Hemoglobinopathies and Related Disorders (4 papers) and Hematological disorders and diagnostics (3 papers). The work is most often cited by research in Biological Psychiatry (56 citations), Hematology (130 citations) and Genetics (100 citations). Fermina M. Mazzella has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include Harold R. Schumacher, Areta Kowal-Vern, James T. Rector, James D. Cotelingam, Steven Sieber, David H. Munn, Scott Antonia, Jeffrey R. Lee, Jane L. Messina and Rory R. Dalton. Their work appears in journals such as PLoS ONE, The Journal of Urology and Human Pathology.

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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