Daniela Stan

1.8k citations
69 papers · 1.2k · h-index 24

Impact in

  • Oncology top 10%
    • Cancer survivorship and care
    • Chemokine receptors and signaling
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Cancer survivorship and care 14
    • Chemokine receptors and signaling 10
    • Adipokines, Inflammation, and Metabolic Diseases 8

Daniela Stan

60 papers receiving 1.2k citations

Peers

Daniela Stan
Comparison fields: 5 of 121
  • Oncology 320
  • Immunology 187
  • Immunology and Allergy 37
  • Molecular Medicine 29
  • Complementary and alternative medicine 43
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Lixia Lou China
Jiarong Chen China
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Xiaoran Li China
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Daniela Stan relative to Siegfried Priglinger Germany Siegfried Priglinger's profile →
Citations per field
00.5×3.7×
Siegfried Priglinger · 1×
Citations per year

Countries citing papers authored by Daniela Stan

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Stan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201668
2 201358
3 201154
4 201653
5 200847
6 200946
7 201344
8 201443
9 202143
10 200141
11 201240
12 201239
13 201537
14 201237
15 201235
16 201633
17 201432
18 201028
19 201627
20 201925

About Daniela Stan

Daniela Stan is a scholar working on Oncology, Epidemiology, Immunology, Genetics and Molecular Biology, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer survivorship and care (14 papers), Chemokine receptors and signaling (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), RNA Interference and Gene Delivery (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Gestational Diabetes Research and Management (4 papers), BRCA gene mutations in cancer (4 papers) and Inflammation biomarkers and pathways (4 papers). The work is most often cited by research in Oncology (320 citations), Immunology (187 citations), Immunology and Allergy (37 citations), Molecular Medicine (29 citations) and Complementary and alternative medicine (43 citations). Daniela Stan has collaborated with scholars based in United States, Romania and Czechia. Frequent co-authors include Manuela Călin, Ileana Mânduțeanu, Ana‐Maria Gan, Maya Simionescu, Elena Butoi, Viorel Simion, Sandhya Pruthi, Ishwar K. Sethi, Kathryn J. Ruddy and Charles L. Loprinzi. Their work appears in journals such as Journal of Clinical Oncology, Biochemical and Biophysical Research Communications, Supportive Care in Cancer, Journal of Cancer Survivorship and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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