John Ansell

26 papers receiving 1.0k citations

Peers

John Ansell
Comparison fields: 5 of 119
  • Safety, Risk, Reliability and Quality 161
  • Statistics, Probability and Uncertainty 119
  • Cell Biology 251
  • Hematology 157
  • Statistics and Probability 103
Replace Jungwoon Lee with:
Jungwoon Lee South Korea
Thomas V. Thomaidis Germany
Baozhi Chen United States
Shicai Fan China
Yunyi Kang United States
Karen L. de Mesy Jensen United States
Waleed A. Yousef Egypt
Péter Attila Gergely Hungary
Daniele Soria United Kingdom
Lujia Wang China
John Ansell relative to Jungwoon Lee South Korea Jungwoon Lee's profile →
Citations per field
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Jungwoon Lee · 1×
Citations per year

Countries citing papers authored by John Ansell

Since Specialization
Citations

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

Fields of papers citing papers by John Ansell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002338
2 2004270
3 1997143
4 1994104
5 198951
6
Glutathione and glutathione transferase levels in mouse granulocytes following cyclophosphamide administration.
198638
7 199738
8 198727
9 199020
10 198411
11 20019
12 19767
13 19875
14 19904
15 20044
16 19963
17 20132
18 19902
19 19942
20 19912

About John Ansell

John Ansell is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Software and Genetics, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (9 papers), Statistical Distribution Estimation and Applications (8 papers), Probabilistic and Robust Engineering Design (5 papers), Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (2 papers), CAR-T cell therapy research (2 papers), Software Reliability and Analysis Research (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (161 citations), Statistics, Probability and Uncertainty (119 citations), Cell Biology (251 citations), Hematology (157 citations) and Statistics and Probability (103 citations). John Ansell has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Michael John Phillips, Parasakthy Kumaravelu, Suling Zhao, Lilian Hook, Aline M. Morrison, Jan M. Ure, Alexander Medvinsky, Sergei Zuyev, Timothy Chevassut and Bernard H. Ramsahoye. Their work appears in journals such as Reliability Engineering & System Safety, Development, Microelectronics Reliability, BMJ Open and IMA Journal of Management Mathematics.

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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