Daniel Dix

921 total citations · 1 hit paper
17 papers, 603 citations indexed

About

Daniel Dix is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Daniel Dix has authored 17 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Molecular Biology. Recurrent topics in Daniel Dix's work include Cancer Genomics and Diagnostics (8 papers), Lung Cancer Treatments and Mutations (5 papers) and Genetic factors in colorectal cancer (3 papers). Daniel Dix is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Lung Cancer Treatments and Mutations (5 papers) and Genetic factors in colorectal cancer (3 papers). Daniel Dix collaborates with scholars based in United States, Spain and Canada. Daniel Dix's co-authors include Richard B. Lanman, Davey B. Daniel, Karen L. Reckamp, Justin I. Odegaard, Stephen G. Divers, Ray D. Page, Victoria M. Raymond, Miguel A. Villalona‐Calero, Natasha B. Leighl and Vassiliki A. Papadimitrakopoulou and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Annals of Oncology.

In The Last Decade

Daniel Dix

17 papers receiving 590 citations

Hit Papers

Clinical Utility of Comprehensive Cell-free DNA Analysis ... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Dix United States 8 408 381 186 167 109 17 603
Yao-Lung Kuo Taiwan 15 360 0.9× 92 0.2× 175 0.9× 191 1.1× 188 1.7× 32 692
Derrick S. Haslem United States 9 175 0.4× 154 0.4× 208 1.1× 54 0.3× 68 0.6× 30 459
Nawfel Mellas Morocco 11 119 0.3× 144 0.4× 296 1.6× 82 0.5× 76 0.7× 91 525
JN Atkins United States 11 143 0.4× 200 0.5× 303 1.6× 117 0.7× 34 0.3× 22 500
Maria Margarete Karsten Germany 14 204 0.5× 70 0.2× 189 1.0× 107 0.6× 81 0.7× 44 449
Alexandre Buckley de Meritens United States 9 86 0.2× 151 0.4× 221 1.2× 98 0.6× 44 0.4× 37 512
Sweety Gupta India 11 238 0.6× 101 0.3× 100 0.5× 245 1.5× 27 0.2× 90 559
David J. Einstein United States 13 125 0.3× 258 0.7× 226 1.2× 133 0.8× 17 0.2× 71 544
Kate Ingarfield United Kingdom 9 95 0.2× 152 0.4× 197 1.1× 133 0.8× 30 0.3× 17 550

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-authorship network of co-authors of Daniel Dix

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Dix. A scholar is included among the top collaborators of Daniel Dix based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Dix. Daniel Dix is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Page, Ray D., Leylah Drusbosky, Victoria M. Raymond, et al.. (2021). Clinical Outcomes for Plasma-Based Comprehensive Genomic Profiling Versus Standard-of-Care Tissue Testing in Advanced Non–Small Cell Lung Cancer. Clinical Lung Cancer. 23(1). 72–81. 31 indexed citations
2.
Palmero, Ramón, Álvaro Taus, Santiago Viteri, et al.. (2021). Biomarker Discovery and Outcomes for Comprehensive Cell-Free Circulating Tumor DNA Versus Standard-of-Care Tissue Testing in Advanced Non–Small-Cell Lung Cancer. JCO Precision Oncology. 5(5). 93–102. 38 indexed citations
3.
Leighl, Natasha B., Ray D. Page, Victoria M. Raymond, et al.. (2019). Clinical Utility of Comprehensive Cell-free DNA Analysis to Identify Genomic Biomarkers in Patients with Newly Diagnosed Metastatic Non–small Cell Lung Cancer. Clinical Cancer Research. 25(15). 4691–4700. 408 indexed citations breakdown →
5.
Esquivel, Mikaela, Li Zhang, Carlos U. Corvera, et al.. (2019). Circulating tumor derived cell-free DNA (ctDNA) to predict recurrence of metastatic colorectal cancer (mCRC) following curative intent surgery or radiation: Interim results.. Journal of Clinical Oncology. 37(4_suppl). 552–552. 1 indexed citations
6.
Bracht, Jillian Wilhelmina Paulina, Niki Karachaliou, Richard B. Lanman, et al.. (2019). Tracking plasma KRAS mutations (mu) in lung adenocarcinoma (LUAC) patients (p) and branching evolution.. Journal of Clinical Oncology. 37(15_suppl). 9055–9055. 1 indexed citations
7.
Dix, Daniel, et al.. (2018). Correlation of Appointment Times and Subspecialty With the No-Show Rates in an Orthopedic Ambulatory Clinic. Journal of Healthcare Management. 63(6). e159–e169. 13 indexed citations
8.
Dix, Daniel, Andrew M. McDonald, Jennifer Gordetsky, et al.. (2018). How Would MRI-targeted Prostate Biopsy Alter Radiation Therapy Approaches in Treating Prostate Cancer?. Urology. 122. 139–146. 5 indexed citations
9.
Dix, Daniel, et al.. (2018). Comparative Analysis of Short-Term Postoperative Complications in Outpatient Versus Inpatient Total Ankle Arthroplasty: A Database Study. The Journal of Foot & Ankle Surgery. 58(1). 23–26. 20 indexed citations
10.
Karachaliou, Niki, Martina I. Lefterova, Imane Chaib, et al.. (2018). Homology-directed repair (HDR)-defective lung adenocarcinomas (LUACs) in circulating tumor DNA (ctDNA). Annals of Oncology. 29. viii671–viii671. 1 indexed citations
11.
Dix, Daniel, et al.. (2018). A systematic review and meta-analysis of complications in conversion arthroplasty methods for failed intertrochanteric fracture fixation. Journal of Clinical Orthopaedics and Trauma. 10(2). 282–285. 6 indexed citations
12.
Palmero, Ramón, Álvaro Taus, Santiago Viteri, et al.. (2018). P2.03-02 Cell-Free DNA (cfDNA) Testing in Lung Adenocarcinoma (LUAC) Patients: Spanish Lung Liquid Versus Invasive Biopsy Program (SLLIP). Journal of Thoracic Oncology. 13(10). S716–S717. 2 indexed citations
13.
Bernards, Daniel A., Hunter H. Chen, Jingtai Cao, et al.. (2018). Device design methodology and formulation of a protein therapeutic for sustained release intraocular delivery. Bioengineering & Translational Medicine. 4(1). 152–163. 11 indexed citations
14.
Crotts, George, Christine Wurth, Valentyn Antochshuk, et al.. (2017). An Intercompany Perspective on Biopharmaceutical Drug Product Robustness Studies. Journal of Pharmaceutical Sciences. 107(2). 529–542. 4 indexed citations
15.
Foley, Perry, Erica Levine, Sandy Askew, et al.. (2012). Weight gain prevention among black women in the rural community health center setting: The Shape Program. BMC Public Health. 12(1). 305–305. 41 indexed citations
16.
Cao, J., Hang Song, Daniel Dix, et al.. (2007). Inhibition of Corneal Angiogenesis by Topical Administration of VEGF Trap. Investigative Ophthalmology & Visual Science. 48(13). 1710–1710. 1 indexed citations
17.
Arakawa, Tsutomu, Daniel Dix, & Byeong S. Chang. (2003). The Effects of Protein Stabilizers on Aggregation Induced by Multiple-Stresses. YAKUGAKU ZASSHI. 123(11). 957–961. 17 indexed citations

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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