A A Rossini

1.8k citations
33 papers · 1.4k indexed · h-index 18

Impact in

Papers in

A A Rossini

33 papers receiving 1.3k citations

Peers

A A Rossini
Comparison fields: 5 of 92
  • Genetics 868
  • Endocrinology, Diabetes and Metabolism 494
  • Immunology 476
  • Surgery 707
  • Physiology 142
Replace A A Like with:
A A Like United States
Dejan Pavlović Belgium
Anna L. Scarim United States
Danielle Melloul Israel
Naru Babaya Japan
Johan Saldeen Sweden
Tomomi Toyonaga Japan
Takuma Kondo Japan
Julien Thévenet France
Mark C. Lavigne United States
A A Rossini relative to A A Like United States A A Like's profile →
Citations per field
00.5×1.5×
A A Like · 1×
Citations per year

Countries citing papers authored by A A Rossini

Since Specialization
Citations

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

Fields of papers citing papers by A A Rossini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside A A Rossini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A A Rossini Line = papers co-authored together A A Rossini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200617
2 2004160
3 200157
4
Analysis of human immune responses to human allografts in small animal models.
19991
5 1999104
6 199717
7 199713
8 19973
9
Ontogeny and immunohistochemical localization of thymus-dependent and thymus-independent RT6+ cells in the rat.
199617
10 199559
11 19938
12 199111
13 1991144
14 19855
15 198432
16
Surgery in the diabetic patient.
19833
17 198258
18
Streptozotocin-induced pancreatic insulitis in mice. Morphologic and physiologic studies.
1978100
19 197742
20 19752

About A A Rossini

A A Rossini is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Immunology and Transplantation, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (21 papers), Pancreatic function and diabetes (16 papers), Diabetes Management and Research (7 papers), T-cell and B-cell Immunology (5 papers), Xenotransplantation and immune response (4 papers), Immune Cell Function and Interaction (3 papers), Pancreatitis Pathology and Treatment (2 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers). The work is most often cited by research in Genetics (868 citations), Endocrinology, Diabetes and Metabolism (494 citations), Immunology (476 citations), Surgery (707 citations) and Physiology (142 citations). A A Rossini has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include A A Like, J P Mordes, M C Appel, Michael Appel, George F. Cahill, A. A. Like, D.L. Greiner, William L. Chick, John P. Mordes and Rita Bortell. Their work appears in journals such as Diabetes, Journal of Clinical Investigation, Diabetologia, Proceedings of the National Academy of Sciences and Advances in experimental medicine and biology.

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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