Michael Chiarella

1.5k citations
31 papers · 347 · h-index 8

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Nanoparticle-Based Drug Delivery

Papers in

Michael Chiarella

31 papers receiving 340 citations

Peers

Michael Chiarella
Comparison fields: 5 of 43
  • Hematology 223
  • Biomaterials 75
  • Genetics 40
  • Public Health, Environmental and Occupational Health 71
  • Oncology 49
Replace Michelle Lazenby with:
Michelle Lazenby United Kingdom
Melissa L. Larson United States
Ariane Dienst Germany
Jae Yoon Jeon United States
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Jingnan An China
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Citations per field
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Citations per year

Countries citing papers authored by Michael Chiarella

Since Specialization
Citations

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

Fields of papers citing papers by Michael Chiarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Chiarella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Chiarella Line = papers co-authored together Michael Chiarella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016126
2 201286
3 201617
4 201914
5 201713
6 201810
7 20168
8 20188
9 20096
10 20206
11 20175
12 20115
13 20175
14 20124
15 20204
16 20184
17 20194
18 20173
19 20223
20 20122

About Michael Chiarella

Michael Chiarella is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Oncology, Molecular Biology and Infectious Diseases, having authored 31 papers that have together received 347 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (26 papers), Acute Lymphoblastic Leukemia research (12 papers), Neutropenia and Cancer Infections (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Hematology (223 citations), Biomaterials (75 citations), Genetics (40 citations), Public Health, Environmental and Occupational Health (71 citations) and Oncology (49 citations). Michael Chiarella has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Arthur C. Louie, Jeffrey E. Lancet, Jonathan E. Kolitz, Jörge E. Cortes, Donna E. Hogge, Robert K. Stuart, Stephen A. Strickland, Eric J. Feldman, Geoffrey L. Uy and J M Trang. Their work appears in journals such as Journal of Clinical Oncology, Blood, HemaSphere, Leukemia Research and Clinical Therapeutics.

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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