Anna Piva

1.2k total citations · 1 hit paper
7 papers, 893 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 893 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 Liver Disease and Transplantation (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Hormonal Regulation and Hypertension (2 papers). Anna Piva is often cited by papers focused on Liver Disease and Transplantation (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Hormonal Regulation and Hypertension (2 papers). Anna Piva collaborates with scholars based in Italy and United States. Anna Piva's co-authors include Maurizio Tommasini, Angelo Sangiovanni, Valerio Di Carlo, Roberto de Franchis, Cristina De Fazio, E. Del Ninno, N Dioguardi, Massimo Colombo, Massimo Bolognesi and Enrico Agabiti‐Rosei 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 874 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hepatocellular Carcinoma in Italian Patients with Cirrhosis

1991 649 citations Massimo Colombo, Roberto de Franchis et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anna Piva Italy	6	608	537	227	153	79	7	893
Luminita Bonyhay France	7	477 0.8×	575 1.1×	113 0.5×	180 1.2×	79 1.0×	12	765
P J Winwood United Kingdom	9	494 0.8×	396 0.7×	189 0.8×	95 0.6×	128 1.6×	13	833
Naoyuki Fujimori Japan	17	430 0.7×	620 1.2×	164 0.7×	129 0.8×	223 2.8×	37	816
B. Mccolgan United States	10	422 0.7×	682 1.3×	138 0.6×	266 1.7×	135 1.7×	23	821
Véronique Grando–Lemaire France	13	732 1.2×	799 1.5×	181 0.8×	96 0.6×	147 1.9×	20	1.1k
Volker Penndorf Germany	7	252 0.4×	365 0.7×	120 0.5×	110 0.7×	67 0.8×	10	514
Sarah Temple United States	6	652 1.1×	761 1.4×	86 0.4×	144 0.9×	114 1.4×	16	953
Bart J. Verwer Netherlands	7	345 0.6×	416 0.8×	141 0.6×	87 0.6×	48 0.6×	9	533
Satoru Yatsuji Japan	13	661 1.1×	1.1k 2.0×	178 0.8×	353 2.3×	93 1.2×	22	1.2k
Markus Neef Germany	11	355 0.6×	265 0.5×	225 1.0×	86 0.6×	89 1.1×	15	593

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Piva, Anna, Alessio Filippi, & Natalino Simioni. (2014). A dangerous mixture. Italian Journal of Medicine. 8(4). 262–262.

2.

Piva, Anna, et al.. (2012). Mesenteric arteries responsiveness to acute variations of wall shear stress is impaired in rats with liver cirrhosis. Scandinavian Journal of Gastroenterology. 47(8-9). 1003–1013. 6 indexed citations

3.

Rossi, Gian Paolo, Massimo Bolognesi, Damiano Rizzoni, et al.. (2008). Vascular Remodeling and Duration of Hypertension Predict Outcome of Adrenalectomy in Primary Aldosteronism Patients. Hypertension. 51(5). 1366–1371. 152 indexed citations

4.

Bolognesi, Massimo, David Sacerdoti, Anna Piva, et al.. (2007). Carbon Monoxide-Mediated Activation of Large-Conductance Calcium-Activated Potassium Channels Contributes to Mesenteric Vasodilatation in Cirrhotic Rats. Journal of Pharmacology and Experimental Therapeutics. 321(1). 187–194. 57 indexed citations

5.

Sala, Angelo, et al.. (1994). An improved assay for urinary LTE4. Prostaglandins. 47(4). 281–292. 11 indexed citations

6.

Colombo, Massimo, Roberto de Franchis, E. Del Ninno, et al.. (1991). Hepatocellular Carcinoma in Italian Patients with Cirrhosis. New England Journal of Medicine. 325(10). 675–680. 649 indexed citations breakdown →

7.

Audisio, Riccardo A., Roberto Doci, Vincenzo Mazzaferro, et al.. (1990). hepatic arterial embolization with microencapsulated mitomycin C for unresectable hepatocellular carcinoma in cirrhosis. Cancer. 66(2). 228–236. 18 indexed citations

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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