John Allinson

14 papers receiving 681 citations

John Allinson's Hit Papers

Fit-for-Purpose Method Development and Validation for Successful Biomarker Measurement 2006 · 504 citations
5040+6+13Years since publication100200300400500

Peers

John Allinson
Comparison fields: 5 of 139
  • Immunology 273
  • Urban Studies 53
  • Statistics and Probability 72
  • Biophysics 43
  • Biological Psychiatry 13
Replace Katalin Kovács with:
Katalin Kovács Hungary
Robert Millham United States
Michael F. Murray United States
Amanda Wilson United Kingdom
Mark Trusheim United States
Stella Somiari United States
Richat Abbas United States
Elena Fountzilas Greece
James Matcham United Kingdom
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Citations per year

Countries citing papers authored by John Allinson

Since Specialization
Citations

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

Fields of papers citing papers by John Allinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Fit-for-Purpose Method Development and Validation for Successful Biomarker Measurement
Hit paper breakdown →
2006504
2 200690
3 201554
4 201827
5 201314
6 201111
7 19969
8 20177
9 20056
10 20226
11 20202
12 19932
13 19992
14
Interprofessional issues in planning education
20031
15 20230
16 20150

About John Allinson

John Allinson is a scholar working on Immunology, Molecular Biology, Biophysics, Statistics and Probability and Sociology and Political Science, having authored 16 papers that have together received 735 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (9 papers), Advanced Biosensing Techniques and Applications (4 papers), Cell Image Analysis Techniques (3 papers), Statistical Methods in Clinical Trials (3 papers), Clinical Laboratory Practices and Quality Control (2 papers), Urban, Neighborhood, and Segregation Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and 3D Printing in Biomedical Research (1 paper). The work is most often cited by research in Immunology (273 citations), Urban Studies (53 citations), Statistics and Probability (72 citations), Biophysics (43 citations) and Biological Psychiatry (13 citations). John Allinson has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Viswanath Devanarayan, Scott Fountain, Stephen Keller, Russell Weiner, Marie Green, Jean W. Lee, Peter J. O’Brien, Yu Chen Barrett, John A. Wagner and Chad Ray. Their work appears in journals such as Bioanalysis, Planning Practice and Research, The AAPS Journal, Pharmaceutical Research and Town Planning Review.

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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