Daniel L. Smith

16 papers receiving 475 citations

Peers

Daniel L. Smith
Comparison fields: 5 of 70
  • Cancer Research 136
  • Oncology 212
  • Pharmaceutical Science 28
  • Pathology and Forensic Medicine 80
  • Radiology, Nuclear Medicine and Imaging 66
Replace Teresa Puértolas with:
Teresa Puértolas Spain
Neha Papneja Canada
Kyunghee Park South Korea
Henrik Jespersen Sweden
Alvin V. Ng Canada
Debbie Hege Svendsrud Norway
Zili An United States
Alessio Schirone Italy
Sarah McDonald United Kingdom
Gary Borzillo United States
Daniel L. Smith relative to Teresa Puértolas Spain Teresa Puértolas's profile →
Citations per field
00.5×3.5×
Teresa Puértolas · 1×
Citations per year

Countries citing papers authored by Daniel L. Smith

Since Specialization
Citations

This map shows the geographic impact of Daniel L. 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 L. 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 L. Smith more than expected).

Fields of papers citing papers by Daniel L. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Detection of breast cancer micrometastases in axillary lymph nodes by using polymerase chain reaction.
1994238
2 201158
3 201246
4 201545
5 201225
6 201817
7 201214
8 20189
9 20146
10 20166
11 20005
12 20124
13 20214
14 20153
15 20123
16 20142
17 20120

About Daniel L. Smith

Daniel L. Smith is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation, having authored 17 papers that have together received 485 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Cancer Cells and Metastasis (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Advanced Radiotherapy Techniques (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Effects of Radiation Exposure (2 papers), Brain Metastases and Treatment (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (136 citations), Oncology (212 citations), Pharmaceutical Science (28 citations), Pathology and Forensic Medicine (80 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). Daniel L. Smith has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include S Shousha, H D Sinnett, Séamus O’Reilly, R. Charles Coombes, Yunus A. Luqmani, Mircea Ariel Schoenfeld, Jennifer Sims‐Mourtada, Wouter A.P. Breeman, David O’Hagan and Anthony P. Reszka. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, BioMed Research International, Genes & Cancer and Breast Cancer Research and Treatment.

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.

Explore authors with similar magnitude of impact