Daniel Flora

2.9k citations
8 papers · 118 · h-index 4

Impact in

    • Menopause: Health Impacts and Treatments
    • Cytokine Signaling Pathways and Interactions
    • COVID-19 and healthcare impacts
    • Cancer survivorship and care
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Treatment and Pharmacology 2
    • Cytokine Signaling Pathways and Interactions 2
    • Lung Cancer Research Studies 1
    • Pancreatic and Hepatic Oncology Research 1
    • COVID-19 and healthcare impacts 1
    • Cancer therapeutics and mechanisms 1

Daniel Flora

8 papers receiving 115 citations

Peers

Daniel Flora
Comparison fields: 5 of 28
  • Endocrinology, Diabetes and Metabolism 38
  • Oncology 60
  • Pathology and Forensic Medicine 20
  • Cancer Research 14
  • Genetics 26
Replace Hongqian Wu with:
Hongqian Wu United States
Maruta A. Blatchins United States
Ludovica Grassi Italy
Ryszard Mężyk Poland
Kristen Cummings United States
Andrea Di Santo Italy
Hong‐Lei Guo China
Sze Yee Phuah Malaysia
Erich M. Sturgis United States
Riccardo Rosso Italy
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Citations per field
00.5×4.3×
Hongqian Wu · 1×
Citations per year

Countries citing papers authored by Daniel Flora

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Flora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201960
2 201834
3 202013
4 20195
5 20172
6 20242
7 20231
8 20241

About Daniel Flora

Daniel Flora is a scholar working on Oncology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research and Genetics, having authored 8 papers that have together received 118 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (2 papers), Menopause: Health Impacts and Treatments (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Estrogen and related hormone effects (1 paper), Lung Cancer Research Studies (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), COVID-19 and healthcare impacts (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (38 citations), Oncology (60 citations), Pathology and Forensic Medicine (20 citations), Cancer Research (14 citations) and Genetics (26 citations). Daniel Flora has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Christopher Dakhil, Nguyet Le‐Lindqwister, Thomas J. Smith, Eric Wolfe, Mark L. Graham, Stephanie S. Faubion, Roberto A. Leon‐Ferre, Kendrith M. Rowland, Paul J. Novotny and Charles L. Loprinzi. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, JNCI Cancer Spectrum, Cancer Medicine and Annals of Oncology.

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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