Jon Ashley

3.8k citations
73 papers · 3.1k · h-index 35

Impact in

Papers in

Jon Ashley

70 papers receiving 3.0k citations

Peers

Jon Ashley
Comparison fields: 5 of 118
  • Toxicology 199
  • Analytical Chemistry 439
  • Immunology and Allergy 144
  • Molecular Biology 1.5k
  • Biomedical Engineering 888
Replace Mark E. Byrne with:
Mark E. Byrne United States
James E. Noble United Kingdom
Marı́a Jesús Lobo-Castañón Spain
Laura J. Trudel United States
Dihua Shangguan China
Qiang Ma China
Yun Chen China
Walter Stöcklein Germany
Alessandra Bossi Italy
Yanping Li China
Jon Ashley relative to Mark E. Byrne United States Mark E. Byrne's profile →
Citations per field
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Mark E. Byrne · 1×
Citations per year

Countries citing papers authored by Jon Ashley

Since Specialization
Citations

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

Fields of papers citing papers by Jon Ashley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Ashley. 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 Jon Ashley. The network helps show where Jon Ashley may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017306
2 1995195
3 2000135
4 2020133
5 200199
6 201889
7 201787
8 202184
9 199584
10 201879
11 201874
12 201872
13 199167
14 199167
15 201666
16 202066
17 201863
18 200362
19 199459
20 199055

About Jon Ashley

Jon Ashley is a scholar working on Molecular Biology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Analytical Chemistry and Materials Chemistry, having authored 73 papers that have together received 3.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (17 papers), Advanced biosensing and bioanalysis techniques (15 papers), Chemical Synthesis and Analysis (11 papers), Analytical chemistry methods development (10 papers), Biosensors and Analytical Detection (9 papers), Allergic Rhinitis and Sensitization (5 papers), Food Allergy and Anaphylaxis Research (5 papers) and Carbon and Quantum Dots Applications (4 papers). The work is most often cited by research in Toxicology (199 citations), Analytical Chemistry (439 citations), Immunology and Allergy (144 citations), Molecular Biology (1.5k citations) and Biomedical Engineering (888 citations). Jon Ashley has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Kim D. Janda, Yi Sun, Peter Wirsching, Xiaotong Feng, George F. Koob, Ibtisam E. Tothill, Tongchang Zhou, Sam Fong Yau Li, Mohsen Mohammadniaei and Krishna Kant. Their work appears in journals such as Journal of the American Chemical Society, Biosensors and Bioelectronics, Bioorganic & Medicinal Chemistry Letters, Talanta and The Analyst.

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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