Paul Metcalfe

595 citations
15 papers · 383 indexed · h-index 7
Topics
Biomedical Text Mining and Ontologies (2 papers)Computational Drug Discovery Methods (2 papers)Statistical Methods and Inference (2 papers)

In The Last Decade

Paul Metcalfe

15 papers receiving 376 citations

Peers

Paul Metcalfe
Comparison fields: 5 of 91
  • Physiology 222
  • Pulmonary and Respiratory Medicine 187
  • Immunology and Allergy 57
  • Immunology 48
  • Computational Mechanics 46
Replace P. M. A. van Haaren with:
P. M. A. van Haaren Netherlands
A. Tokarev Russia
Renhui Chen China
Thomas Cink United States
Swati Satturwar United States
Henry L. Fu United States
Xizhao Sui China
Hui Guan China
Philip Whitehurst United Kingdom
Scott A. Turner United States
Paul Metcalfe relative to P. M. A. van Haaren Netherlands P. M. A. van Haaren's profile →
Citations per field
00.5×11.4×
P. M. A. van Haaren · 1×
Citations per year

Countries citing papers authored by Paul Metcalfe

Since Specialization
Citations

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

Fields of papers citing papers by Paul Metcalfe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Metcalfe

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Metcalfe. A scholar is included among the top collaborators of Paul Metcalfe 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 Paul Metcalfe. Paul Metcalfe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 10
2 7
3
Statistical Modelling of Extreme Values [R package texmex version 2.4.8]
3
4 1
5 61
6 225
7 1
8 1
9 1
10
Challenges in the prediction and modeling of oral absorption and bioavailability.
6
11 41
12 4
13 1
14 1
15 20

About Paul Metcalfe

Paul Metcalfe is a scholar working on Statistics and Probability, Mathematical Physics and Finance, having authored 15 papers that have together received 383 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (2 papers), Computational Drug Discovery Methods (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Immunology and Allergy (57 citations), Physiology (222 citations) and Pulmonary and Respiratory Medicine (187 citations). Paul Metcalfe has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Ian Hirsch, James Zangrilli, Andrew Menzies‐Gow, Mitchell Goldman, J. Mark FitzGerald, Paul Newbold, Eugene R. Bleecker, Dominic Vella, Gavin Brown and Konstantinos Sechidis. Their work appears in journals such as Physics of Fluids, Toxicology Letters and The Lancet Respiratory Medicine.

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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