Daniel A. Pearson

24 papers receiving 596 citations

Peers

Daniel A. Pearson
Comparison fields: 5 of 89
  • Radiology, Nuclear Medicine and Imaging 165
  • Organic Chemistry 163
  • Oncology 143
  • Computational Mechanics 100
  • Molecular Biology 237
Replace Michinori Tanaka with:
Michinori Tanaka Japan
Frank Büttner Germany
Dina Tzemach Israel
Jaideep S. Dudani United States
Robert van Sluis United States
Mathieu Moreau France
Jean‐Pierre Ballini Switzerland
Stavroula Sofou United States
Gopal Anyarambhatla United States
Rachel Kroe‐Barrett United States
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Countries citing papers authored by Daniel A. Pearson

Since Specialization
Citations

This map shows the geographic impact of Daniel A. Pearson'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. Pearson 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. Pearson more than expected).

Fields of papers citing papers by Daniel A. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989192
2 199665
3 199045
4 201441
5 200736
6 199633
7 201731
8 199331
9 199627
10
Pre-clinical evaluation of technetium-99m platelet receptor-binding peptide.
199720
11 198417
12 200714
13 202312
14 201511
15 201811
16 198310
17 20228
18 20167
19 19956
20 19836

About Daniel A. Pearson

Daniel A. Pearson is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Oncology, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 24 papers that have together received 629 indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (7 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers), Diamond and Carbon-based Materials Research (5 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Force Microscopy Techniques and Applications (3 papers), Lung Cancer Research Studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (165 citations), Organic Chemistry (163 citations), Oncology (143 citations), Computational Mechanics (100 citations) and Molecular Biology (237 citations). Daniel A. Pearson has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Mary A. Blanchette, R. Mark Bradley, John Lister‐James, David M. Wilson, Richard T. Dean, William J. McBride, Edgar R. Civitello, Brian R. Moyer, John E. Taylor and J Ronan. Their work appears in journals such as Journal of Medicinal Chemistry, Tetrahedron Letters, Physical review. E, Journal of Physics Condensed Matter and European Journal of Medicinal Chemistry.

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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