Roberto Gianani

4.8k total citations · 1 hit paper
59 papers, 3.5k citations indexed

About

Roberto Gianani is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Roberto Gianani has authored 59 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Genetics, 37 papers in Surgery and 30 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Roberto Gianani's work include Diabetes and associated disorders (40 papers), Pancreatic function and diabetes (36 papers) and Diabetes Management and Research (24 papers). Roberto Gianani is often cited by papers focused on Diabetes and associated disorders (40 papers), Pancreatic function and diabetes (36 papers) and Diabetes Management and Research (24 papers). Roberto Gianani collaborates with scholars based in United States, Italy and Japan. Roberto Gianani's co-authors include George S. Eisenbarth, Liping Yu, Charles F. Verge, Massimo Pietropaolo, Eiji Kawasaki, Richard A. Jackson, H. Peter Chase, Mark A. Atkinson, Alberto Pugliese and Jan Jensen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and PLoS ONE.

In The Last Decade

Roberto Gianani

58 papers receiving 3.4k citations

Hit Papers

Prediction of Type I Diabetes in First-Degree Relatives U... 1996 2026 2006 2016 1996 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Gianani United States 28 2.5k 2.3k 1.9k 639 628 59 3.5k
Roberto Mallone France 35 1.8k 0.7× 1.4k 0.6× 1.0k 0.5× 1.8k 2.8× 670 1.1× 114 4.2k
Jonathan I. Wilde United Kingdom 23 571 0.2× 674 0.3× 1.0k 0.6× 527 0.8× 824 1.3× 36 2.9k
Marcia McDuffie United States 29 970 0.4× 690 0.3× 358 0.2× 1.3k 2.1× 630 1.0× 63 2.8k
Françoise Carlotti Netherlands 29 913 0.4× 1.2k 0.5× 649 0.3× 346 0.5× 1.5k 2.4× 67 3.0k
Helen Schuilenburg United Kingdom 8 1.2k 0.5× 629 0.3× 470 0.3× 468 0.7× 530 0.8× 8 1.8k
Krishna Prasadan United States 28 939 0.4× 1.6k 0.7× 700 0.4× 164 0.3× 1.0k 1.6× 68 2.6k
Izortze Santín Spain 20 870 0.4× 853 0.4× 377 0.2× 461 0.7× 748 1.2× 42 1.9k
Brygida Bisikirska United States 17 610 0.2× 419 0.2× 390 0.2× 605 0.9× 1.1k 1.7× 32 2.2k
Henri‐Jean Garchon France 32 839 0.3× 301 0.1× 211 0.1× 990 1.5× 901 1.4× 92 3.1k
C. Randall Fuller United States 19 392 0.2× 244 0.1× 365 0.2× 417 0.7× 343 0.5× 29 1.5k

Countries citing papers authored by Roberto Gianani

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Gianani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Gianani

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

All Works

20 of 20 papers shown
1.
2.
Caldwell, Charles C., James B. Rottman, Vitria Adisetiyo, et al.. (2021). Validation of a DKK1 RNAscope chromogenic in situ hybridization assay for gastric and gastroesophageal junction adenocarcinoma tumors. Scientific Reports. 11(1). 9920–9920. 11 indexed citations
3.
Acevedo-Calado, Maria, Aaron R. Cox, Susan L. Pietropaolo, et al.. (2018). CD19+IgM+ cells demonstrate enhanced therapeutic efficacy in type 1 diabetes mellitus. JCI Insight. 3(23). 6 indexed citations
4.
Alkanani, Aimon K., Naoko Hara, Roberto Gianani, & Danny Zipris. (2014). Kilham rat virus-induced type 1 diabetes involves beta cell infection and intra-islet JAK–STAT activation prior to insulitis. Virology. 468-470. 19–27. 14 indexed citations
5.
6.
Wang, Cecilia C. Low, Li Lu, J. Wayne Leitner, et al.. (2013). Arterial insulin resistance in Yucatan micropigs with diet-induced obesity and metabolic syndrome. Journal of Diabetes and its Complications. 27(4). 307–315. 5 indexed citations
7.
Gianani, Roberto. (2010). Beta cell regeneration in human pancreas. Seminars in Immunopathology. 33(1). 23–27. 26 indexed citations
8.
Gianani, Roberto, Martha Campbell‐Thompson, Suparna A. Sarkar, et al.. (2010). Dimorphic histopathology of long-standing childhood-onset diabetes. Diabetologia. 53(4). 690–698. 113 indexed citations
9.
Zhang, Li, Roberto Gianani, Maki Nakayama, et al.. (2008). Type 1 Diabetes: Chronic Progressive Autoimmune Disease. Novartis Foundation symposium. 292. 85–98. 27 indexed citations
10.
Sarkar, Suparna A., Sune Kobberup, Ryan L. Wong, et al.. (2007). Global gene expression profiling and histochemical analysis of the developing human fetal pancreas. Diabetologia. 51(2). 285–297. 75 indexed citations
11.
Liu, Edwin, Marcella Li, Jean Jasinski, et al.. (2007). Deleting islet autoimmunity. Cell Biochemistry and Biophysics. 48(2-3). 177–182. 1 indexed citations
12.
Babaya, Naru, Maki Nakayama, Hiroaki Moriyama, et al.. (2006). A new model of insulin-deficient diabetes: male NOD mice with a single copy of Ins1 and no Ins2. Diabetologia. 49(6). 1222–1228. 32 indexed citations
13.
Nakayama, Maki, et al.. (2006). Long‐Term Prevention of Diabetes and Marked Suppression of Insulin Autoantibodies and Insulitis in Mice Lacking Native Insulin B9–23 Sequence. Annals of the New York Academy of Sciences. 1079(1). 122–129. 9 indexed citations
14.
Jensen, Jan, et al.. (2005). Recapitulation of elements of embryonic development in adult mouse pancreatic regeneration. Gastroenterology. 128(3). 728–741. 271 indexed citations
15.
Frost, Michael, Elke A. Jarboe, David J. Orlicky, et al.. (2002). Immunohistochemical Localization of Survivin in Benign Cervical Mucosa, Cervical Dysplasia, and Invasive Squamous Cell Carcinoma. American Journal of Clinical Pathology. 117(5). 738–744. 52 indexed citations
16.
Gianani, Roberto, Elke A. Jarboe, David J. Orlicky, et al.. (2001). Expression of survivin in normal, hyperplastic, and neoplastic colonic mucosa. Human Pathology. 32(1). 119–125. 152 indexed citations
17.
Nieto, Yago, Maureen Ross, Roberto Gianani, et al.. (1999). Post-mortem incidental finding of cytomegalovirus oophoritis after an allogeneic stem cell transplant. Bone Marrow Transplantation. 23(12). 1323–1324. 7 indexed citations
18.
Gianani, Roberto, et al.. (1996). Limited Loss of Tolerance to Islet Autoantigens in ICA+ First Degree Relatives of Patients with Type I Diabetes Expressing the HLA DQB1*0602 Allele. Journal of Autoimmunity. 9(3). 423–425. 17 indexed citations
19.
Gianani, Roberto & George S. Eisenbarth. (1994). Prediction and prevention of type I diabetes. Journal of Endocrinological Investigation. 17(7). 533–543. 4 indexed citations
20.
Gianani, Roberto, et al.. (1994). Identification of Glutamic Acid Decarboxylase Autoantibody Heterogeneity and Epitope Regions in Type I Diabetes. Diabetes. 43(8). 968–975. 52 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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