Alex. M. Weir

11 total papers · 1.3k total citations
2 papers, 945 citations indexed

About

Alex. M. Weir is a scholar working on Computational Theory and Mathematics, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Alex. M. Weir has authored 2 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computational Theory and Mathematics, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Economics and Econometrics. Recurrent topics in Alex. M. Weir's work include Pharmaceutical Economics and Policy (2 papers), Pharmaceutical Quality and Counterfeiting (2 papers) and Computational Drug Discovery Methods (2 papers). Alex. M. Weir is often cited by papers focused on Pharmaceutical Economics and Policy (2 papers), Pharmaceutical Quality and Counterfeiting (2 papers) and Computational Drug Discovery Methods (2 papers). Alex. M. Weir collaborates with scholars based in United States and United Kingdom. Alex. M. Weir's co-authors include William D. Pennie, Garry Pairaudeau, Andrew R. Leach, Paul D. Leeson, John Arrowsmith, Stephen D. Pickett, Ji‐Bo Wang, Robert M. Owen, Michael J. Waring and Owen B. Wallace and has published in prestigious journals such as Nature Reviews Drug Discovery.

In The Last Decade

Alex. M. Weir

1 paper receiving 901 citations

Hit Papers

An analysis of the attrit... 2015 2026 2018 2022 2015 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alex. M. Weir 423 369 151 119 92 2 945
Jeff W. Paslay 544 1.3× 352 1.0× 50 0.3× 144 1.2× 52 0.6× 6 959
Janette Nickel 411 1.0× 294 0.8× 152 1.0× 127 1.1× 45 0.5× 7 1.0k
Dragan A. Cirovic 541 1.3× 353 1.0× 49 0.3× 171 1.4× 51 0.6× 8 1.0k
Andrew Krueger 735 1.7× 256 0.7× 71 0.5× 172 1.4× 126 1.4× 6 1.2k
Jens Loesel 400 0.9× 490 1.3× 166 1.1× 32 0.3× 75 0.8× 7 880
Tyler B. Hughes 399 0.9× 390 1.1× 207 1.4× 51 0.4× 50 0.5× 18 805
Yuan-Ling Xia 677 1.6× 295 0.8× 50 0.3× 51 0.4× 90 1.0× 12 1.2k
Glenn F. Short 699 1.7× 217 0.6× 62 0.4× 152 1.3× 152 1.7× 9 1.1k
Jia Jia 550 1.3× 296 0.8× 70 0.5× 91 0.8× 74 0.8× 13 903
Susanna K. Lüdemann 774 1.8× 188 0.5× 237 1.6× 98 0.8× 215 2.3× 10 1.2k

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

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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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