Andrew P. Capaldi

2.3k citations
31 papers · 1.5k · h-index 17

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Fungal and yeast genetics research
    • Microbial Metabolic Engineering and Bioproduction
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • Fungal and yeast genetics research 12
    • Protein Structure and Dynamics 9
    • PI3K/AKT/mTOR signaling in cancer 7
    • RNA and protein synthesis mechanisms 4

Andrew P. Capaldi

29 papers receiving 1.5k citations

Peers

Andrew P. Capaldi
Comparison fields: 5 of 73
  • Molecular Biology 1.4k
  • Endocrinology 72
  • Cell Biology 227
  • Materials Chemistry 556
  • Aging 17
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Citations per field
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Citations per year

Countries citing papers authored by Andrew P. Capaldi

Since Specialization
Citations

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

Fields of papers citing papers by Andrew P. Capaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew P. Capaldi. 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 Andrew P. Capaldi. The network helps show where Andrew P. Capaldi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002223
2 1999211
3 2008179
4 2001133
5 2003119
6 2014106
7 201582
8 201367
9 200160
10 199855
11 201944
12 199942
13 200441
14 200430
15 200127
16 200123
17 200018
18 201815
19 201914
20 20199

About Andrew P. Capaldi

Andrew P. Capaldi is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Pharmacology and Genetics, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (12 papers), Protein Structure and Dynamics (9 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Enzyme Structure and Function (6 papers), Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (4 papers), Escherichia coli research studies (3 papers) and Fungal Biology and Applications (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Endocrinology (72 citations), Cell Biology (227 citations), Materials Chemistry (556 citations) and Aging (17 citations). Andrew P. Capaldi has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Sheena E. Radford, Colin Kleanthous, Xiangxia Luo, Neil Ferguson, Richard James, Claire T. Friel, Heinrich Röder, M.C.R. Shastry, Tommy Kaplan and Erin K. O’Shea. Their work appears in journals such as Journal of Molecular Biology, eLife, Nature Communications, Molecular Biology of the Cell and Biochemistry.

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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