Daniel Arnold Smith

78 papers receiving 1.6k citations

Peers

Daniel Arnold Smith
Comparison fields: 5 of 128
  • Pulmonary and Respiratory Medicine 410
  • Oncology 269
  • Gastroenterology 47
  • Insect Science 99
  • Cancer Research 92
Replace Yoshinari Matsumoto with:
Yoshinari Matsumoto Japan
Xuefeng Zhang China
Gianluca Mazzoni Italy
Yan Shen China
Peter Korošec Slovenia
Xiaojun Yang China
Shijie Wang China
Huaiyong Chen China
Felicia Farina Italy
Daniel Arnold Smith relative to Yoshinari Matsumoto Japan Yoshinari Matsumoto's profile →
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Citations per year

Countries citing papers authored by Daniel Arnold Smith

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Arnold Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001328
2 2012133
3 201178
4 201977
5 200173
6 199870
7 197864
8 201363
9 201051
10 201350
11 201238
12 199235
13 201634
14 199334
15 201131
16 199929
17 201427
18 202126
19 201025
20 202124

About Daniel Arnold Smith

Daniel Arnold Smith is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Hematology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (10 papers), Insect and Pesticide Research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Insect Pest Control Strategies (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Ovarian cancer diagnosis and treatment (3 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (410 citations), Oncology (269 citations), Gastroenterology (47 citations), Insect Science (99 citations) and Cancer Research (92 citations). Daniel Arnold Smith has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Nikhil H. Ramaiya, K. Posey, CARL E. SCHRECK, Owen N. Witte, Sree Harsha Tirumani, P W Barry, David DM Brocklebank, Christopher J Cates, M F Muers and John Wright. Their work appears in journals such as Journal of Computer Assisted Tomography, Abdominal Radiology, American Journal of Roentgenology, Emergency Radiology and Journal of Economic Entomology.

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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