G Multari

36 papers receiving 544 citations

Peers

G Multari
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 265
  • Genetics 321
  • Surgery 256
  • Immunology 79
  • Endocrine and Autonomic Systems 19
Replace Anna-Lena Nilsson with:
Anna-Lena Nilsson Sweden
Bu Kyung Kim South Korea
G. Marietti Italy
H Lestradet France
C. Jaeger Germany
K. Sayama Japan
Kristen A. McDaniel United States
A. M. Ciccarone Italy
Lynda K. Fisher United States
Gregory Goodwin United States
G Multari relative to Anna-Lena Nilsson Sweden Anna-Lena Nilsson's profile →
Citations per field
00.5×1.5×
Anna-Lena Nilsson · 1×
Citations per year

Countries citing papers authored by G Multari

Since Specialization
Citations

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

Fields of papers citing papers by G Multari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G Multari, 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 G Multari Line = papers co-authored together G Multari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000154
2 199768
3 200051
4 200142
5 200027
6 200426
7 200423
8 199618
9 199817
10
[Nutritional status, obesity and metabolic control in children with type 1 diabetes mellitus].
199914
11 199813
12 199013
13 199513
14 199912
15
In vivo measurement of immunoglobulin accumulation in the pancreas of recent onset type 1 diabetic patients.
19968
16 19937
17
[Difference between arterial and end-tidal carbon dioxide tension during surgery of lumbar herniated disk in general anesthesia].
19957
18 19616
19 19904
20
No effect of oral insulin on residual beta-cell function in recent onset type 1 diabetes
20004

About G Multari

G Multari is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and Hematology, having authored 36 papers that have together received 556 indexed citations. Recurring topics across this work include Diabetes and associated disorders (14 papers), Pancreatic function and diabetes (11 papers), Diabetes Management and Research (10 papers), Metabolism, Diabetes, and Cancer (3 papers), Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Diet, Metabolism, and Disease (2 papers) and Health and Lifestyle Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (265 citations), Genetics (321 citations), Surgery (256 citations), Immunology (79 citations) and Endocrine and Autonomic Systems (19 citations). G Multari has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include M. Cervoni, Paolo Pozzilli, Maria Cristina Matteoli, G. Marietti, Antonino Crinò, Raffaella Buzzetti, N Visalli, Marilisa Montesano, R Ronchetti and Jacopo Pagani. Their work appears in journals such as Diabetes/Metabolism Research and Reviews, Diabetologia, Human Mutation, Transfusion and Journal of Pediatric Hematology/Oncology.

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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