Marla Daves

421 total citations
9 papers, 122 citations indexed

About

Marla Daves is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Marla Daves has authored 9 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Pediatrics, Perinatology and Child Health and 4 papers in Oncology. Recurrent topics in Marla Daves's work include Acute Lymphoblastic Leukemia research (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Neutropenia and Cancer Infections (3 papers). Marla Daves is often cited by papers focused on Acute Lymphoblastic Leukemia research (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Neutropenia and Cancer Infections (3 papers). Marla Daves collaborates with scholars based in United States and Canada. Marla Daves's co-authors include Tsz‐Kwong Man, Ching C. Lau, Susan G. Hilsenbeck, Tamara P. Miller, Richard Aplenc, Alan S. Gamis, Jessica A. Pollard, Alix E. Seif, Michael A. Pulsipher and Robert B. Gerbing and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Marla Daves

8 papers receiving 121 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marla Daves United States 6 37 34 33 32 15 9 122
Sherif Abouelnaga Egypt 6 28 0.8× 47 1.4× 38 1.2× 23 0.7× 10 0.7× 14 155
Archie Macnair United Kingdom 6 32 0.9× 17 0.5× 36 1.1× 5 0.2× 13 0.9× 10 106
Andrew Dervan United States 8 32 0.9× 18 0.5× 18 0.5× 85 2.7× 22 1.5× 12 213
Tony Philip United States 7 43 1.2× 8 0.2× 20 0.6× 23 0.7× 15 1.0× 25 124
Valentina Isgrò Italy 7 79 2.1× 18 0.5× 7 0.2× 20 0.6× 19 1.3× 16 215
Janet Flores‐Lujano Mexico 7 20 0.5× 44 1.3× 60 1.8× 20 0.6× 14 129
Rebecca Mottram United Kingdom 5 72 1.9× 8 0.2× 15 0.5× 17 0.5× 16 1.1× 10 126
Fatima Zahra Laamırı Morocco 9 34 0.9× 25 0.7× 35 1.1× 13 0.4× 2 0.1× 26 156
Tiphaine Adam de Beaumais France 7 31 0.8× 143 4.2× 149 4.5× 49 1.5× 3 0.2× 20 252
Hélène Bourgoin France 5 28 0.8× 46 1.4× 9 0.3× 21 0.7× 7 0.5× 8 161

Countries citing papers authored by Marla Daves

Since Specialization
Citations

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

Fields of papers citing papers by Marla Daves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marla Daves

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

All Works

9 of 9 papers shown
1.
Dai, Chen, Marla Daves, Hamayun Imran, et al.. (2022). Persistent Child Poverty and Mortality in a Cohort of Children with Cancer in Alabama. Cancer Epidemiology Biomarkers & Prevention. 32(3). 380–386. 3 indexed citations
2.
Chambers, Tiffany M., Kelly Getz, Tamara P. Miller, et al.. (2022). A report from the Leukemia Electronic Abstraction of Records Network on risk of hepatotoxicity during pediatric acute lymphoblastic leukemia treatment. Haematologica. 107(5). 1185–1188. 6 indexed citations
4.
Miller, Tamara P., Kelly Getz, Biniyam G. Demissei, et al.. (2019). Rates of Laboratory Adverse Events By Chemotherapy Course for Pediatric Acute Leukemia Patients within the Leukemia Electronic Abstraction of Records Network (LEARN). Blood. 134(Supplement_1). 333–333. 5 indexed citations
5.
Miller, Tamara P., Kelly Getz, Marko Kavčič, et al.. (2016). A comparison of discharge strategies after chemotherapy completion in pediatric patients with acute myeloid leukemia: a report from the Children’s Oncology Group. Leukemia & lymphoma. 57(7). 1567–1574. 12 indexed citations
6.
Miller, Tamara P., Yimei Li, Marko Kavčič, et al.. (2016). Accuracy of Adverse Event Ascertainment in Clinical Trials for Pediatric Acute Myeloid Leukemia. Journal of Clinical Oncology. 34(13). 1537–1543. 40 indexed citations
7.
Nickel, Robert Sheppard, Frank G. Keller, John Bergsagel, et al.. (2013). Mitoxantrone as a substitute for daunorubicin during induction in newly diagnosed lymphoblastic leukemia and lymphoma. Pediatric Blood & Cancer. 61(5). 810–814. 13 indexed citations
8.
Hockenberry, Marilyn, Kathy McCarthy, Olga A. Taylor, et al.. (2012). Using Improvement Science to Promote Evidence-Based Practice in a Childhood Cancer and Hematology Center. Journal of Pediatric Oncology Nursing. 29(1). 5–13. 4 indexed citations
9.
Daves, Marla, Susan G. Hilsenbeck, Ching C. Lau, & Tsz‐Kwong Man. (2011). Meta-analysis of multiple microarray datasets reveals a common gene signature of metastasis in solid tumors. BMC Medical Genomics. 4(1). 56–56. 39 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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