Alex. M. Weir

1.4k citations
2 papers · 956 indexed · 1 hit paper · h-index 2
Topics
Pharmaceutical Economics and Policy (2 papers)Pharmaceutical Quality and Counterfeiting (2 papers)Computational Drug Discovery Methods (2 papers)

In The Last Decade

Alex. M. Weir

2 papers receiving 913 citations

Hit Papers

An analysis of the attrition of drug candidates from four...20152026201820222015250500750

Peers

Alex. M. Weir
Comparison fields: 5 of 112
  • Molecular Biology 424
  • Computational Theory and Mathematics 371
  • Pharmacology 151
  • Biomedical Engineering 121
  • Oncology 95
Replace Owen B. Wallace with:
Owen B. Wallace United States
William D. Pennie United States
Teresa Krieger-Burke United States
Vishal B. Siramshetty United States
Hugues Dolgos Germany
Jeffrey A. Kramer United States
Allison K. Doak United States
Nicola Colclough United Kingdom
Bianca M. Liederer United States
Rhys D.O. Jones United Kingdom
Alex. M. Weir relative to Owen B. Wallace United States Owen B. Wallace's profile →
Citations per field
00.5×1.5×
Owen B. Wallace · 1×
Citations per year

Countries citing papers authored by Alex. M. Weir

Since Specialization
Citations

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

Fields of papers citing papers by Alex. M. Weir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex. M. Weir. 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 Alex. M. Weir. The network helps show where Alex. M. Weir may publish in the future.

Co-authorship network of co-authors of Alex. M. Weir

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1
An analysis of the attrition of drug candidates from four major pharmaceutical companiesbreakdown →
955
2
A comprehensive analysis of development attrition in drug candidates from four major pharmaceutical companies
1

About Alex. M. Weir

Alex. M. Weir is a scholar working on Computational Theory and Mathematics, Economics and Econometrics and Public Health, Environmental and Occupational Health, having authored 2 papers that have together received 956 indexed citations. Recurring topics across this work include Pharmaceutical Economics and Policy (2 papers), Pharmaceutical Quality and Counterfeiting (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Computational Theory and Mathematics (371 citations), Pharmacology (151 citations) and Molecular Biology (424 citations). Alex. M. Weir has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Robert M. Owen, Garry Pairaudeau, Stephen D. Pickett, Andrew R. Leach, Owen B. Wallace, John Arrowsmith, Paul D. Leeson, William D. Pennie, Michael J. Waring and Ji‐Bo Wang. Their work appears in journals such as Nature Reviews Drug Discovery.

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