Norma Llansa

1.3k citations
18 papers · 1.2k · h-index 15

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
  • Immunology top 10%
    • Immunotherapy and Immune Responses

Papers in

    • Peroxisome Proliferator-Activated Receptors 7
    • Fibroblast Growth Factor Research 3
    • Angiogenesis and VEGF in Cancer 3
    • Inflammatory mediators and NSAID effects 7

Norma Llansa

18 papers receiving 1.1k citations

Peers

Norma Llansa
Comparison fields: 5 of 92
  • Cancer Research 255
  • Immunology 263
  • Oncology 287
  • Immunology and Allergy 61
  • Biochemistry 76
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Citations per field
00.5×1.5×1.8×
Yoshiji Miyazaki · 1×
Citations per year

Countries citing papers authored by Norma Llansa

Since Specialization
Citations

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

Fields of papers citing papers by Norma Llansa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1995394
2 1986191
3
Differential expression of cyclooxygenase-2 and its regulation by tumor necrosis factor-alpha in normal and malignant prostate cells.
2001107
4 200974
5 200570
6 200558
7 199656
8 199540
9 197737
10
Cell density-dependent regulation of basic fibroblast growth factor expression in human renal cell carcinoma cells.
199636
11 200433
12 200622
13
Peroxisome proliferator-activated receptor-gamma suppresses cyclooxygenase-2 expression in human prostate cells.
200421
14 200420
15 199614
16 197810
17 19782
18 20081

About Norma Llansa

Norma Llansa is a scholar working on Molecular Biology, Pharmacology, Cancer Research, Oncology and Surgery, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (7 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Cancer, Lipids, and Metabolism (4 papers), Fibroblast Growth Factor Research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Fatty Acid Research and Health (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Cancer Research (255 citations), Immunology (263 citations), Oncology (287 citations), Immunology and Allergy (61 citations) and Biochemistry (76 citations). Norma Llansa has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Isaiah J. Fidler, Mordechai Gutman, R Sánchez, Rakesh K. Singh, C Bucana, David G. Menter, Lawrence B. Lachman, Charles A. Dinarello, Anita L. Sabichi and Scott M. Lippman. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Molecular Cancer Therapeutics, Analytical Biochemistry, The Journal of Immunology and Oncogene.

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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