Daniel A. Pearson

838 citations
24 papers · 697 · h-index 13

Impact in

Papers in

Daniel A. Pearson

24 papers receiving 646 citations

Peers

Daniel A. Pearson
Comparison fields: 5 of 92
  • Radiology, Nuclear Medicine and Imaging 178
  • Oncology 149
  • Organic Chemistry 175
  • Computational Mechanics 107
  • Molecular Biology 252
Replace Frank Büttner with:
Frank Büttner Germany
Michinori Tanaka Japan
Pavel Šácha Czechia
Dina Tzemach Israel
Robert van Sluis United States
Jaideep S. Dudani United States
Mathieu Moreau France
John Kirkpatrick United Kingdom
Rachel Kroe‐Barrett United States
Benjamin Ruprecht Germany
Daniel A. Pearson relative to Frank Büttner Germany Frank Büttner's profile →
Citations per field
00.5×3.6×
Frank Büttner · 1×
Citations per year

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 1989202
2 199677
3 199049
4 201443
5 199639
6 200739
7 199337
8 201733
9 199629
10 198422
11
Pre-clinical evaluation of technetium-99m platelet receptor-binding peptide.
199721
12 200718
13 202317
14 201512
15 201811
16 198310
17 20229
18 19959
19 20167
20 19836

About Daniel A. Pearson

Daniel A. Pearson is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology and Oncology, having authored 24 papers that have together received 697 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 (4 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 (178 citations), Oncology (149 citations), Organic Chemistry (175 citations), Computational Mechanics (107 citations) and Molecular Biology (252 citations). Daniel A. Pearson has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Mary A. Blanchette, R. Mark Bradley, John Lister‐James, David M. Wilson, Richard T. Dean, Edgar R. Civitello, William J. McBride, Brian R. Moyer, John E. Taylor and J Ronan. Their work appears in journals such as Journal of Medicinal Chemistry, Tetrahedron Letters, Journal of Physics Condensed Matter, Physical review. E 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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