Miriam Buttacavoli

24 total papers · 563 total citations
13 papers, 442 citations indexed

About

Miriam Buttacavoli is a scholar working on Molecular Biology, Organic Chemistry and Cancer Research. According to data from OpenAlex, Miriam Buttacavoli has authored 13 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Cancer Research. Recurrent topics in Miriam Buttacavoli's work include Peptidase Inhibition and Analysis (2 papers), Biochemical and Molecular Research (2 papers) and S100 Proteins and Annexins (2 papers). Miriam Buttacavoli is often cited by papers focused on Peptidase Inhibition and Analysis (2 papers), Biochemical and Molecular Research (2 papers) and S100 Proteins and Annexins (2 papers). Miriam Buttacavoli collaborates with scholars based in Italy. Miriam Buttacavoli's co-authors include Patrizia Cancemi, Salvatore Feo, Gianluca Di Cara, Elena Roz, Nadia Ninfa Albanese, Rosa Alduina, Ida Pucci‐Minafra, Giuseppe Gallo, Giuseppe Pizzolanti and Michele Gallo and has published in prestigious journals such as International Journal of Molecular Sciences, International Journal of Biological Macromolecules and European Journal of Medicinal Chemistry.

In The Last Decade

Miriam Buttacavoli

12 papers receiving 434 citations

Author Peers

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

Author Last Decade Papers Cites
Miriam Buttacavoli 193 119 99 80 72 13 442
Babita Shashni 147 0.8× 60 0.5× 72 0.7× 127 1.6× 44 0.6× 22 435
Ziwei Miao 242 1.3× 65 0.5× 100 1.0× 77 1.0× 33 0.5× 15 479
Fangfang Sheng 240 1.2× 62 0.5× 69 0.7× 109 1.4× 31 0.4× 16 486
Qizhen Zheng 220 1.1× 125 1.1× 29 0.3× 101 1.3× 55 0.8× 20 470
Kausar Begam Riaz Ahmed 130 0.7× 167 1.4× 65 0.7× 129 1.6× 42 0.6× 11 439
Chang‐Woo Song 204 1.1× 87 0.7× 44 0.4× 51 0.6× 56 0.8× 17 424
Jiankun Guan 182 0.9× 66 0.6× 51 0.5× 199 2.5× 55 0.8× 12 494
Lamha Kumar 157 0.8× 89 0.7× 107 1.1× 73 0.9× 20 0.3× 12 418
Chen Wei 180 0.9× 101 0.8× 67 0.7× 151 1.9× 25 0.3× 21 487
Jian Zhong 172 0.9× 49 0.4× 53 0.5× 103 1.3× 28 0.4× 12 430

Countries citing papers authored by Miriam Buttacavoli

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Buttacavoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miriam Buttacavoli. 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 Miriam Buttacavoli. The network helps show where Miriam Buttacavoli may publish in the future.

Co-authorship network of co-authors of Miriam Buttacavoli

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Buttacavoli. A scholar is included among the top collaborators of Miriam Buttacavoli 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 Miriam Buttacavoli. Miriam Buttacavoli 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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