Daniel A. Smith

2.1k total citations
82 papers, 1.5k citations indexed

About

Daniel A. Smith is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Daniel A. Smith has authored 82 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 22 papers in Pulmonary and Respiratory Medicine and 16 papers in Surgery. Recurrent topics in Daniel A. Smith's work include Lung Cancer Treatments and Mutations (13 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Lymphoma Diagnosis and Treatment (5 papers). Daniel A. Smith is often cited by papers focused on Lung Cancer Treatments and Mutations (13 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Lymphoma Diagnosis and Treatment (5 papers). Daniel A. Smith collaborates with scholars based in United States, United Kingdom and Germany. Daniel A. Smith's co-authors include Owen N. Witte, Nikhil H. Ramaiya, K. Posey, C. E. Schreck, Christopher J Cates, Felix SF Ram, John Wright, Gordon C. C. Douglas, M F Muers and D. Brocklebank and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Daniel A. Smith

78 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Smith United States 20 467 403 284 228 140 82 1.5k
Xinmin Liu China 25 382 0.8× 519 1.3× 129 0.5× 225 1.0× 198 1.4× 102 1.8k
Yoichi Kobayashi Japan 26 237 0.5× 462 1.1× 395 1.4× 112 0.5× 247 1.8× 140 2.1k
José L. Gómez United States 25 739 1.6× 471 1.2× 145 0.5× 271 1.2× 174 1.2× 71 2.0k
Young Yoo South Korea 26 481 1.0× 598 1.5× 239 0.8× 537 2.4× 149 1.1× 112 2.1k
Zheng Lin China 25 257 0.6× 748 1.9× 152 0.5× 159 0.7× 266 1.9× 128 1.7k
Satoshi Inoue Japan 26 234 0.5× 789 2.0× 310 1.1× 140 0.6× 104 0.7× 74 1.7k
Hua Wu China 19 283 0.6× 230 0.6× 238 0.8× 105 0.5× 146 1.0× 86 1.2k
José Sánchez‐Corona Mexico 25 138 0.3× 576 1.4× 217 0.8× 193 0.8× 299 2.1× 152 2.0k
Mahmood Yaseen Hachim United Arab Emirates 22 184 0.4× 501 1.2× 281 1.0× 126 0.6× 99 0.7× 101 1.4k
Ramcés Falfán‐Valencia Mexico 23 683 1.5× 537 1.3× 189 0.7× 398 1.7× 85 0.6× 144 2.0k

Countries citing papers authored by Daniel A. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Smith. A scholar is included among the top collaborators of Daniel A. Smith 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 A. Smith. Daniel A. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zerdes, Ioannis, Antonio D’Alessio, Theodoros Foukakis, et al.. (2025). Comprehensive genome profiling for treatment decisions in patients with metastatic tumors: real-world evidence meta-analysis and registry data implementation. JNCI Journal of the National Cancer Institute. 117(6). 1117–1124. 3 indexed citations
2.
Seelhammer, Troy G., Francisco A. Arabía, Brian C. Cho, et al.. (2025). TEG® 6s–Guided Algorithm for Optimizing Patient Blood Management in Cardiovascular Surgery: Systematic Literature Review and Expert Opinion. Journal of Cardiothoracic and Vascular Anesthesia. 39(5). 1162–1172. 3 indexed citations
3.
Faraji, Navid, et al.. (2021). Utility and Clinical Implications of Appendicular Skeleton Magnetic Resonance Imaging in Multiple Myeloma: A Single-Institutional 15-Year Experience. Journal of Computer Assisted Tomography. 45(6). 904–911. 1 indexed citations
4.
Kikano, Elias, et al.. (2021). Unintentional weight loss: what radiologists need to know and what clinicians want to know. Abdominal Radiology. 46(5). 2236–2250. 3 indexed citations
5.
Kikano, Elias, et al.. (2021). Imaging features of hypercalcemia: A primer for emergency radiologists. Clinical Imaging. 80. 215–224. 1 indexed citations
6.
Smith, Daniel A., et al.. (2021). Overview of serum and tissue markers in colorectal cancer: a primer for radiologists. Abdominal Radiology. 46(12). 5521–5535. 4 indexed citations
7.
8.
Alessandrino, Francesco, Daniel A. Smith, Sree Harsha Tirumani, & Nikhil H. Ramaiya. (2019). Cancer genome landscape: a radiologist’s guide to cancer genome medicine with imaging correlates. Insights into Imaging. 10(1). 111–111. 4 indexed citations
9.
Smith, Daniel A., et al.. (2019). Lesser Known Facts of Small Cell Lung Cancer. Journal of Computer Assisted Tomography. 43(4). 584–591. 2 indexed citations
10.
Kalisz, Kevin, Francesco Alessandrino, Rose Beck, et al.. (2019). An update on Burkitt lymphoma: a review of pathogenesis and multimodality imaging assessment of disease presentation, treatment response, and recurrence. Insights into Imaging. 10(1). 56–56. 67 indexed citations
11.
Güler, Ezgi, Daniel A. Smith, Bhanusupriya Somarouthu, et al.. (2019). Overview of imaging findings associated with systemic therapies in advanced epithelial ovarian cancer. Abdominal Radiology. 45(3). 828–841. 3 indexed citations
12.
Daniel, Priya, Thomas Bewick, Tricia M. McKeever, et al.. (2018). Healthcare reconsultation in working-age adults following hospitalisation for community-acquired pneumonia. Clinical Medicine. 18(1). 41–46. 9 indexed citations
13.
Hu, Yun, et al.. (2016). The next-generation nicotine vaccine: a novel and potent hybrid nanoparticle-based nicotine vaccine. Biomaterials. 106. 228–239. 31 indexed citations
14.
Smith, Daniel A., Atsushi Kiba, Yang Zong, & Owen N. Witte. (2013). Interleukin-6 and Oncostatin-M Synergize with the PI3K/AKT Pathway to Promote Aggressive Prostate Malignancy in Mouse and Human Tissues. Molecular Cancer Research. 11(10). 1159–1165. 41 indexed citations
15.
Janzen, Deanna M., Miguel A. Rosales, Daniel Y. Paik, et al.. (2013). Progesterone Receptor Signaling in the Microenvironment of Endometrial Cancer Influences Its Response to Hormonal Therapy. Cancer Research. 73(15). 4697–4710. 58 indexed citations
16.
Smith, Daniel A., et al.. (2013). Desmoid Tumor of the Hand. Annals of Plastic Surgery. 73(4). 390–392. 2 indexed citations
17.
18.
Fleischer, David E., Robert D. Odze, Bergein F. Overholt, et al.. (2010). The Case for Endoscopic Treatment of Non-dysplastic and Low-Grade Dysplastic Barrett’s Esophagus. Digestive Diseases and Sciences. 55(7). 1918–1931. 45 indexed citations
19.
He, Wei, Tongyu Cao, Daniel A. Smith, Todd Myers, & Xiaojing Wang. (2001). Smads mediate signaling of the TGFβ superfamily in normal keratinocytes but are lost during skin chemical carcinogenesis. Oncogene. 20(4). 471–483. 70 indexed citations
20.
Smith, Daniel A. & Paul J. Perry. (1992). The Efficacy of Ergogenic Agents in Athletic Competition: Part II: Other Performance-Enhancing Agents. Annals of Pharmacotherapy. 26(5). 653–659. 32 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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