Daniel Flora

2.9k citations
8 papers · 109 · h-index 4

Impact in

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

Papers in

    • Cancer Treatment and Pharmacology 2
    • Cytokine Signaling Pathways and Interactions 2
    • Colorectal Cancer Treatments and Studies 2
    • Sphingolipid Metabolism and Signaling 1

Daniel Flora

8 papers receiving 106 citations

Peers

Daniel Flora
Comparison fields: 5 of 32
  • Oncology 70
  • Endocrinology, Diabetes and Metabolism 34
  • Pathology and Forensic Medicine 23
  • Genetics 35
  • Reproductive Medicine 9
Replace H. Al-Eid with:
H. Al-Eid Saudi Arabia
Ludovica Grassi Italy
Amit Agarwal India
Julyann Pérez‐Mayoral Puerto Rico
Kristin A. Rand United States
Goska Leslie United Kingdom
Κωνσταντίνος Αγιαννιτόπουλος Greece
Lisa Richters Germany
Jeremy L. Pautu India
J. Merschdorf Sweden
Daniel Flora relative to H. Al-Eid Saudi Arabia H. Al-Eid's profile →
Citations per field
00.5×2.7×
H. Al-Eid · 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 201952
2 201833
3 202013
4 20195
5 20242
6 20172
7 20231
8 20241

About Daniel Flora

Daniel Flora is a scholar working on Oncology, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Genetics, having authored 8 papers that have together received 109 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Menopause: Health Impacts and Treatments (2 papers), Estrogen and related hormone effects (2 papers), Breast Cancer Treatment Studies (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Oncology (70 citations), Endocrinology, Diabetes and Metabolism (34 citations), Pathology and Forensic Medicine (23 citations), Genetics (35 citations) and Reproductive Medicine (9 citations). Daniel Flora has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Christopher Dakhil, Nguyet Le‐Lindqwister, Thomas J. Smith, Roberto A. Leon‐Ferre, Eric Wolfe, Stephanie S. Faubion, Charles L. Loprinzi, Paul J. Novotny, Mark L. Graham and Kathryn J. Ruddy. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Cancer Medicine, JNCI Cancer Spectrum 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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