William Hancock‐Cerutti

42 total papers · 1.5k total citations
12 papers, 615 citations indexed

About

William Hancock‐Cerutti is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, William Hancock‐Cerutti has authored 12 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Organic Chemistry. Recurrent topics in William Hancock‐Cerutti's work include Cellular transport and secretion (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Advanced Chemical Physics Studies (2 papers). William Hancock‐Cerutti is often cited by papers focused on Cellular transport and secretion (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Advanced Chemical Physics Studies (2 papers). William Hancock‐Cerutti collaborates with scholars based in United States, United Kingdom and France. William Hancock‐Cerutti's co-authors include Pietro De Camilli, Marianna Leonzino, Florian A. Horenkamp, Peiqi Li, Nikit Kumar, Karin M. Reinisch, Joshua A. Lees, Heather Wheeler, Shujun Cai and Andrés Guillén-Samander and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and SHILAP Revista de lepidopterología.

In The Last Decade

William Hancock‐Cerutti

11 papers receiving 614 citations

Hit Papers

VPS13A and VPS13C are lip... 2018 2026 2020 2023 2018 2025 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
William Hancock‐Cerutti 357 248 155 133 104 12 615
Dongxue Mao 271 0.8× 107 0.4× 92 0.6× 176 1.3× 36 0.3× 11 520
M. H. Chen 450 1.3× 206 0.8× 98 0.6× 153 1.2× 107 1.0× 7 637
Jae-Sook Park 436 1.2× 275 1.1× 109 0.7× 55 0.4× 59 0.6× 10 616
Nina Aula 260 0.7× 210 0.8× 355 2.3× 50 0.4× 50 0.5× 10 615
Shenliang Yu 293 0.8× 276 1.1× 77 0.5× 411 3.1× 53 0.5× 10 627
Heike Schulze 365 1.0× 142 0.6× 194 1.3× 58 0.4× 39 0.4× 10 542
Adam B. Francisco 286 0.8× 275 1.1× 92 0.6× 144 1.1× 21 0.2× 16 643
Daxiao Sun 444 1.2× 142 0.6× 43 0.3× 273 2.1× 65 0.6× 10 658
Leonardo J. Leon 464 1.3× 77 0.3× 111 0.7× 333 2.5× 20 0.2× 10 698
Jacob M. Serfass 227 0.6× 194 0.8× 75 0.5× 357 2.7× 30 0.3× 8 552

Countries citing papers authored by William Hancock‐Cerutti

Since Specialization
Citations

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

Fields of papers citing papers by William Hancock‐Cerutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Hancock‐Cerutti. 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 William Hancock‐Cerutti. The network helps show where William Hancock‐Cerutti may publish in the future.

Co-authorship network of co-authors of William Hancock‐Cerutti

This figure shows the co-authorship network connecting the top 25 collaborators of William Hancock‐Cerutti. A scholar is included among the top collaborators of William Hancock‐Cerutti 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 William Hancock‐Cerutti. William Hancock‐Cerutti 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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