J. R. Green

806 total citations
29 papers, 591 citations indexed

About

J. R. Green is a scholar working on Statistics and Probability, Genetics and Rheumatology. According to data from OpenAlex, J. R. Green has authored 29 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 6 papers in Genetics and 3 papers in Rheumatology. Recurrent topics in J. R. Green's work include Statistical Distribution Estimation and Applications (5 papers), Statistical Methods and Bayesian Inference (3 papers) and Genetic Associations and Epidemiology (3 papers). J. R. Green is often cited by papers focused on Statistical Distribution Estimation and Applications (5 papers), Statistical Methods and Bayesian Inference (3 papers) and Genetic Associations and Epidemiology (3 papers). J. R. Green collaborates with scholars based in United Kingdom, Libya and United States. J. R. Green's co-authors include J. C. Woodrow, Youssef A. Hegazy, Michael W. Jones, Sue Catling, Heng Chin Low, Syed Jawad Ali Shah, D M Grennan, E. J. Davies, Elaine M. Hay and Robert M. Bernstein and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

J. R. Green

28 papers receiving 530 citations

Peers

J. R. Green
Comparison fields: 5 of 112
  • Genetics 146
  • Statistics and Probability 119
  • Immunology 82
  • Pulmonary and Respiratory Medicine 80
  • Anesthesiology and Pain Medicine 73
Replace Kenichi Satoh with:
Kenichi Satoh Japan
Dae‐Jin Lee Spain
Choongrak Kim South Korea
G. S. Mudholkar United States
Norbert Holländer Germany
Yodit Seifu United States
André Happe France
Christine Porzelius Germany
Frauke Degenhardt Germany
Gordon Graham United Kingdom
Kenichi Satoh Japan View profile →
Citations per field, relative to J. R. Green
J. R. Green · 1×
Citations per year, relative to J. R. Green
J. R. Green · 1×

Countries citing papers authored by J. R. Green

Since Specialization
Citations

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

Fields of papers citing papers by J. R. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. R. Green. 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 J. R. Green. The network helps show where J. R. Green may publish in the future.

Co-authorship network of co-authors of J. R. Green

This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Green. A scholar is included among the top collaborators of J. R. Green based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. R. Green. J. R. Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 13
3 8
4 1
5 26
6 53
7 71
8 2
9 6
10 6
11 11
12 17
13 116
14 41
15 15
16 16
17 5
18 2
19 23
20 6

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026