A. Mac Sweeney

1.7k citations
30 papers · 932 · h-index 16

Impact in

  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • Cell death mechanisms and regulation
    • Protein Structure and Dynamics
    • Plant biochemistry and biosynthesis

Papers in

    • Chemical Synthesis and Analysis 3
    • Biochemical and Molecular Research 3
    • Enzyme Structure and Function 6
    • Crystallization and Solubility Studies 4
    • Porphyrin and Phthalocyanine Chemistry 3

A. Mac Sweeney

30 papers receiving 902 citations

Peers

A. Mac Sweeney
Comparison fields: 5 of 94
  • Oncology 215
  • Molecular Biology 585
  • Cellular and Molecular Neuroscience 103
  • Materials Chemistry 219
  • Pharmacology 69
Replace Daniel P. Getman with:
Daniel P. Getman United States
A. W. Edith Chan United Kingdom
Cristina Lewis United States
Joel Bard United States
Christian K. Engel Germany
Alícia P. Higueruelo United Kingdom
Douglas R. Dougan United States
E. K. RYU South Korea
Aude Echalier United Kingdom
Shujaath Mehdi United States
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Citations per field
00.5×6.3×
Daniel P. Getman · 1×
Citations per year

Countries citing papers authored by A. Mac Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by A. Mac Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Mac Sweeney. 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 A. Mac Sweeney. The network helps show where A. Mac Sweeney may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003228
2 2004108
3 200373
4 200369
5 200355
6 200353
7 200842
8 200442
9 197230
10 201424
11 197124
12 197021
13 201720
14 200018
15 201817
16 201415
17 197214
18 200313
19 200311
20 20249

About A. Mac Sweeney

A. Mac Sweeney is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Oncology and Computational Theory and Mathematics, having authored 30 papers that have together received 932 indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Peptidase Inhibition and Analysis (5 papers), Computational Drug Discovery Methods (4 papers), Crystallization and Solubility Studies (4 papers), Porphyrin and Phthalocyanine Chemistry (3 papers), Chemical Synthesis and Analysis (3 papers), Asymmetric Synthesis and Catalysis (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Oncology (215 citations), Molecular Biology (585 citations), Cellular and Molecular Neuroscience (103 citations), Materials Chemistry (219 citations) and Pharmacology (69 citations). A. Mac Sweeney has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include A. D’Arcy, Mrudula Donepudi, Markus G. Grütter, Christophe Briand, Glenn E. Dale, Christian Oefner, Henk Schulz, A. Douangamath, Roland Lange and Philip Proteau. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Molecular Biology, Helvetica Chimica Acta, ACS Medicinal Chemistry Letters and Molecular Cell.

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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