Anna Piva

14 total papers · 1.2k total citations
7 papers, 892 citations indexed

About

Anna Piva is a scholar working on Hepatology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Anna Piva has authored 7 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Hepatology, 2 papers in Surgery and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Anna Piva's work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Hormonal Regulation and Hypertension (2 papers) and Liver Disease and Transplantation (2 papers). Anna Piva is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Hormonal Regulation and Hypertension (2 papers) and Liver Disease and Transplantation (2 papers). Anna Piva collaborates with scholars based in Italy and United States. Anna Piva's co-authors include Maurizio Tommasini, Roberto de Franchis, N Dioguardi, Massimo Colombo, E. Del Ninno, Valerio Di Carlo, Cristina De Fazio, Angelo Sangiovanni, Massimo Bolognesi and Gian Paolo Rossi and has published in prestigious journals such as New England Journal of Medicine, Cancer and Hypertension.

In The Last Decade

Anna Piva

6 papers receiving 873 citations

Hit Papers

Hepatocellular Carcinoma ... 1991 2026 2002 2014 1991 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Anna Piva 610 540 227 153 78 7 892
Kazuyuki Ohata 386 0.6× 543 1.0× 123 0.5× 104 0.7× 101 1.3× 16 768
Saumya Jayakumar 481 0.8× 645 1.2× 231 1.0× 169 1.1× 112 1.4× 17 1.0k
Luminita Bonyhay 477 0.8× 576 1.1× 113 0.5× 183 1.2× 80 1.0× 12 765
Anthony J. Donaghy 395 0.6× 413 0.8× 272 1.2× 228 1.5× 69 0.9× 14 857
Sara Aleffi 324 0.5× 549 1.0× 159 0.7× 97 0.6× 149 1.9× 14 802
P J Winwood 496 0.8× 398 0.7× 189 0.8× 95 0.6× 128 1.6× 13 832
Chuhan Chung 401 0.7× 625 1.2× 199 0.9× 214 1.4× 123 1.6× 19 800
Jana Hundertmark 332 0.5× 528 1.0× 149 0.7× 99 0.6× 246 3.2× 13 807
Yasuji Komorizono 616 1.0× 594 1.1× 136 0.6× 121 0.8× 119 1.5× 19 926
Sarah Temple 648 1.1× 755 1.4× 85 0.4× 144 0.9× 114 1.5× 16 947

Countries citing papers authored by Anna Piva

Since Specialization
Citations

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

Fields of papers citing papers by Anna Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Piva

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