A. Gessi

747 total citations · 1 hit paper
7 papers, 542 citations indexed

About

A. Gessi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, A. Gessi has authored 7 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in A. Gessi's work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Ovarian function and disorders (2 papers) and Reproductive Biology and Fertility (2 papers). A. Gessi is often cited by papers focused on Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Ovarian function and disorders (2 papers) and Reproductive Biology and Fertility (2 papers). A. Gessi collaborates with scholars based in Italy, Switzerland and United States. A. Gessi's co-authors include Eleonora Mangano, Stefano Mora, Paola Sogno Valin, Maria Carla Proverbio, Stefania Di Candia, Alessandro Salvatoni, I. Zamproni, Manuela Caruso‐Nicoletti, Cristina Battaglia and Cecilia Diceglie and has published in prestigious journals such as PLoS ONE, Human Reproduction and European Journal of Endocrinology.

In The Last Decade

A. Gessi

7 papers receiving 536 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.

Genetic Analysis of Italian Patients with Congenital Hyperinsulinism of Infancy

2013 387 citations Paola Sogno Valin, Maria Carla Proverbio et al. Hormone Research in Paediatrics profile →

Peers

A. Gessi

EDM

SURGE

MB

GENET

RM

R Paschke Germany

Michael Hannemann United Kingdom

Laura A. Dollar United States

Andreas Moraitis United States

Mouna Mnif Tunisia

Francesca Dassie Italy

Helen Gray United Kingdom

Stuart Kupfer United States

R J Santen United States

Anna Popławska‐Kita Poland

R Paschke Germany

A. Gessi

338 ×1.3

EDM

131 ×0.6

SURGE

214 ×1.1

MB

72 ×0.6

GENET

30 ×0.6

RM

Citations per year, relative to A. Gessi A. Gessi (= 1×) peers R Paschke

Countries citing papers authored by A. Gessi

Since Specialization

Citations

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

Fields of papers citing papers by A. Gessi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Gessi

This figure shows the co-authorship network connecting the top 25 collaborators of A. Gessi. A scholar is included among the top collaborators of A. Gessi 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 A. Gessi. A. Gessi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Valin, Paola Sogno, Maria Carla Proverbio, Cecilia Diceglie, et al.. (2013). Genetic Analysis of Italian Patients with Congenital Hyperinsulinism of Infancy. Hormone Research in Paediatrics. 79(4). 236–242. 387 indexed citations breakdown →

2.

Proverbio, Maria Carla, Eleonora Mangano, A. Gessi, et al.. (2013). Whole Genome SNP Genotyping and Exome Sequencing Reveal Novel Genetic Variants and Putative Causative Genes in Congenital Hyperinsulinism. PLoS ONE. 8(7). e68740–e68740. 37 indexed citations

3.

Candia, Stefania Di, A. Gessi, Paola Sogno Valin, et al.. (2009). Identification of a diffuse form of hyperinsulinemic hypoglycemia by 18-fluoro-l-3,4 dihydroxyphenylalanine positron emission tomography/CT in a patient carrying a novel mutation of the HADH gene. European Journal of Endocrinology. 160(6). 1019–1023. 17 indexed citations

4.

Ferrari, Maurizio, Nadia Soriani, A. Gessi, et al.. (2001). Mutational scanning of the ABCR gene with double-gradient denaturing-gradient gel electrophoresis (DG-DGGE) in Italian Stargardt disease patients. Human Genetics. 109(3). 326–338. 41 indexed citations

5.

Gessi, A., Wolfgang Raber, P. Nowotny, & H. Vierhapper. (2000). Spuriously high serum concentrations of TSH due to the use of an automatic pipetting device. Experimental and Clinical Endocrinology & Diabetes. 108(8). 510–512. 1 indexed citations

6.

Doldi, N., et al.. (2000). Polycystic ovary syndrome: evidence for reduced 3β-hydroxysteroid dehydrogenase gene expression in human luteinizing granulosa cells. Gynecological Endocrinology. 14(1). 32–37. 17 indexed citations

7.

Doldi, N., et al.. (1998). Polycystic ovary syndrome: anomalies in progesterone production. Human Reproduction. 13(2). 290–293. 42 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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