Daniel Triner

1.5k citations
22 papers · 1.2k · h-index 11

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Renal cell carcinoma treatment 4
    • Prostate Cancer Diagnosis and Treatment 4
    • Ferroptosis and cancer prognosis 3
    • Prostate Cancer Treatment and Research 2
    • Cancer Immunotherapy and Biomarkers 2

Daniel Triner

19 papers receiving 1.2k citations

Peers

Daniel Triner
Comparison fields: 5 of 87
  • Cancer Research 347
  • Oncology 331
  • Immunology 197
  • Cell Biology 159
  • Molecular Biology 548
Replace Alejandro Parrales with:
Alejandro Parrales United States
Ashujit Tagde United States
Ani Arakelian Canada
Maroof Alam United States
Torsten Wüestefeld Germany
Taisuke Kawamoto Japan
Chiara Raggi Italy
Chaoyun Pan China
Shuhei Yoshida Japan
Daniel Triner relative to Alejandro Parrales United States Alejandro Parrales's profile →
Citations per field
00.5×2×2.5×
Alejandro Parrales · 1×
Citations per year

Countries citing papers authored by Daniel Triner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Triner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018292
2 2016199
3 2016157
4 2015156
5 2018133
6 201977
7 201659
8 201847
9 201515
10 201915
11 202310
12 202210
13 20244
14 20243
15 20242
16 20192
17 20211
18 20211
19 20241
20 20240

About Daniel Triner

Daniel Triner is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Immunology and Molecular Biology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Ferroptosis and cancer prognosis (3 papers), Immune cells in cancer (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Prostate Cancer Treatment and Research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (347 citations), Oncology (331 citations), Immunology (197 citations), Cell Biology (159 citations) and Molecular Biology (548 citations). Daniel Triner has collaborated with scholars based in United States, Spain and Hungary. Frequent co-authors include Yatrik M. Shah, Sadeesh K. Ramakrishnan, Justin A. Colacino, Xiang Xue, Balázs Győrffy, Dean E. Brenner, Eric R. Fearon, Michael K. Dame, James Varani and Joel K. Greenson. Their work appears in journals such as Cell Metabolism, Molecular and Cellular Biology, Urology, Journal of Clinical Oncology and Gastroenterology.

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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