Deanna Mitchell

1.5k citations
20 papers · 786 · h-index 13

Impact in

Papers in

    • Neuroblastoma Research and Treatments 10
    • Cancer, Hypoxia, and Metabolism 7
    • MicroRNA in disease regulation 1

Deanna Mitchell

20 papers receiving 766 citations

Peers

Deanna Mitchell
Comparison fields: 5 of 79
  • Pediatrics, Perinatology and Child Health 248
  • Neurology 179
  • Public Health, Environmental and Occupational Health 232
  • Cancer Research 77
  • Oncology 132
Replace Laura Botta with:
Laura Botta Italy
Jóhann Heiðar Jóhannsson Iceland
Luiz Fernando Lopes Brazil
Carolyn Russo United States
Amalia Schiavetti Italy
Rebecca Deyell Canada
P.N. Plowman United Kingdom
Hisaya Nakadate Japan
J M Birch United Kingdom
M.A. Kuczyk Germany
Deanna Mitchell relative to Laura Botta Italy Laura Botta's profile →
Citations per field
00.5×3.0×
Laura Botta · 1×
Citations per year

Countries citing papers authored by Deanna Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Deanna Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deanna Mitchell, 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 Deanna Mitchell Line = papers co-authored together Deanna Mitchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2000169
2 1993123
3 198583
4 199569
5
SAS, a gene amplified in human sarcomas, encodes a new member of the transmembrane 4 superfamily of proteins.
199463
6 201458
7
PET hydroxyephedrine imaging of neuroblastoma.
199657
8 202045
9 202328
10 201520
11 200517
12 201416
13 198514
14 201212
15 20235
16 19922
17 20132
18 20221
19 20191
20 19931

About Deanna Mitchell

Deanna Mitchell is a scholar working on Neurology, Cancer Research, Molecular Biology, Genetics and Oncology, having authored 20 papers that have together received 786 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (10 papers), Cancer, Hypoxia, and Metabolism (7 papers), Glioma Diagnosis and Treatment (4 papers), Cancer therapeutics and mechanisms (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Metabolism and Genetic Disorders (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (248 citations), Neurology (179 citations), Public Health, Environmental and Occupational Health (232 citations), Cancer Research (77 citations) and Oncology (132 citations). Deanna Mitchell has collaborated with scholars based in United States. Frequent co-authors include Raymond J. Hutchinson, Anna T. Meadows, Charles A. Sklar, Ann Mertens, Andrew W. Walter, Joan S. Hunt, Gary W. Wood, Leslie L. Robison, Maura O’Leary and Mark E. Nesbit. Their work appears in journals such as Pediatric Blood & Cancer, Journal of Clinical Oncology, International Journal of Cancer, The Journal of Pediatrics and Journal of Leukocyte Biology.

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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