J. J. Mazza

1.9k citations
30 papers · 1.3k indexed · h-index 15
Topics
Acute Myeloid Leukemia Research (9 papers)Chronic Lymphocytic Leukemia Research (7 papers)Acute Lymphoblastic Leukemia research (7 papers)
Partner nations
United States

In The Last Decade

J. J. Mazza

30 papers receiving 1.2k citations

Peers

J. J. Mazza
Comparison fields: 5 of 122
  • Hematology 536
  • Genetics 270
  • Public Health, Environmental and Occupational Health 246
  • Oncology 217
  • Molecular Biology 196
Replace Fatma Gümrük with:
Fatma Gümrük Türkiye
E. M. Berkman United States
Hubert Nivet France
Catherine Bagot United Kingdom
Joseph D. Dickerman United States
Pekka Riikonen Finland
Edwin N. Forman United States
Hale Ören Türkiye
Bahattin Tunç Türkiye
M. Ruivard France
J. J. Mazza relative to Fatma Gümrük Türkiye Fatma Gümrük's profile →
Citations per field
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Fatma Gümrük · 1×
Citations per year

Countries citing papers authored by J. J. Mazza

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. J. Mazza

This figure shows the co-authorship network connecting the top 25 collaborators of J. J. Mazza. A scholar is included among the top collaborators of J. J. Mazza 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 J. J. Mazza. J. J. Mazza 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
#WorkIndexed citations
1 2
2 14
3 186
4 68
5 11
6 235
7 50
8 7
9 9
10 5
11 3
12
Adult acute lymphocytic leukemia: the Eastern Cooperative Oncology Group experience.
33
13
Escalating the intensity of postremission therapy improves the outcome in acute myeloid leukemia: The ECOG experience
14
14 97
15 2
16 8
17 3
18 117
19 98
20
Quantitative osmotic fragility and disease states: a preliminary study.
14

About J. J. Mazza

J. J. Mazza is a scholar working on Hematology, Genetics and Internal Medicine, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Acute Lymphoblastic Leukemia research (7 papers). The work is most often cited by research in Hematology (536 citations), Internal Medicine (135 citations) and Genetics (270 citations). J. J. Mazza has collaborated with scholars based in United States. Frequent co-authors include Steven H. Yale, Florence Aslinia, Dinesh Kumar, Ingrid Glurich, Martin M. Oken, John M. Bennett, John Hines, Heather S. Bonner, Peter A. Cassileth and C B Begg. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Thrombosis and Haemostasis.

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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