John Allinson

16 papers receiving 747 citations

John Allinson's Hit Papers

Fit-for-Purpose Method Development and Validation for Successful Biomarker Measurement 2006 · 548 citations
5480+6+13Years since publication100200300400500

Peers

John Allinson
Comparison fields: 5 of 145
  • Immunology 281
  • Urban Studies 58
  • Statistics and Probability 76
  • Biophysics 42
  • Biological Psychiatry 11
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Katalin Kovács Hungary
Mark Trusheim United States
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Stella Somiari United States
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Robert Millham United States
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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

18 of 18 papers shown
#Work
1
Fit-for-Purpose Method Development and Validation for Successful Biomarker Measurement
Hit paper breakdown →
2006548
2 200693
3 201560
4 201832
5 201315
6 200512
7 201111
8 199610
9 202210
10 20177
11 20203
12 19992
13 19932
14
Appropriate land uses in city centres: A case study of Bristol
20011
15 20231
16 20261
17
Interprofessional issues in planning education
20031
18 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 18 papers that have together received 809 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (9 papers), Advanced Biosensing Techniques and Applications (4 papers), Statistical Methods in Clinical Trials (3 papers), Cell Image Analysis Techniques (3 papers), Clinical Laboratory Practices and Quality Control (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Urban, Neighborhood, and Segregation Studies (2 papers) and Housing Market and Economics (1 paper). The work is most often cited by research in Immunology (281 citations), Urban Studies (58 citations), Statistics and Probability (76 citations), Biophysics (42 citations) and Biological Psychiatry (11 citations). John Allinson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Viswanath Devanarayan, Chad Ray, Peter J. O’Brien, Stephen Keller, Robert Millham, Yu Chen Barrett, Ira Weinryb, John A. Wagner, James A. Rogers and Jean W. Lee. Their work appears in journals such as Bioanalysis, Planning Practice and Research, The AAPS Journal, Town Planning Review and Journal of Loss Prevention in the Process Industries.

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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