Daniel Dix

17 papers receiving 590 citations

Hit Papers

Clinical Utility of Comprehensive Cell-free DNA Analysis to Identify Genomic Biomarkers in Patients with Newly Diagnosed Metastatic Non–small Cell Lung Cancer 2019 · 408 citations
4082019202620212023100200300400

Peers

Daniel Dix
Comparison fields: 5 of 60
  • Cancer Research 408
  • Pulmonary and Respiratory Medicine 381
  • Oncology 186
  • Pathology and Forensic Medicine 109
  • Molecular Biology 167
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Jimmitti Teysir United States
Sweety Gupta India
E. Greer Gay United States
Benigno Acea Nebril Spain
Maria Margarete Karsten Germany
Eugene Moylan Australia
J.J. Grau Spain
Yao-Lung Kuo Taiwan
Nawfel Mellas Morocco
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Daniel Dix

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Clinical Utility of Comprehensive Cell-free DNA Analysis to Identify Genomic Biomarkers in Patients with Newly Diagnosed Metastatic Non–small Cell Lung Cancer
Hit paper breakdown →
2019408
2 201241
3 202138
4 202131
5 201820
6 200317
7 201813
8 201811
9 20186
10 20185
11 20174
12 20193
13 20182
14
Inhibition of Corneal Angiogenesis by Topical Administration of VEGF Trap
20071
15 20181
16 20191
17 20191

About Daniel Dix

Daniel Dix is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Pharmacy, Pathology and Forensic Medicine and Pharmaceutical Science, having authored 17 papers that have together received 603 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Lung Cancer Treatments and Mutations (5 papers), Genetic factors in colorectal cancer (3 papers), Protein purification and stability (2 papers), RNA modifications and cancer (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Lymphatic System and Diseases (1 paper) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Cancer Research (408 citations), Pulmonary and Respiratory Medicine (381 citations), Oncology (186 citations), Pathology and Forensic Medicine (109 citations) and Molecular Biology (167 citations). Daniel Dix has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Richard B. Lanman, Karen L. Reckamp, Davey B. Daniel, Vassiliki A. Papadimitrakopoulou, Ray D. Page, Natasha B. Leighl, Miguel A. Villalona‐Calero, Victoria M. Raymond, Stephen G. Divers and Justin I. Odegaard. Their work appears in journals such as Journal of Clinical Oncology, Journal of Pharmaceutical Sciences, Clinical Cancer Research, Journal of Healthcare Management and Journal of Thoracic 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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