M. Sensi

821 citations
52 papers · 536 · h-index 12

Impact in

Papers in

M. Sensi

52 papers receiving 487 citations

Peers

M. Sensi
Comparison fields: 5 of 79
  • Clinical Biochemistry 142
  • Endocrinology, Diabetes and Metabolism 209
  • Nephrology 37
  • Genetics 153
  • Neurology 33
Replace Roberto Towns with:
Roberto Towns United States
Yong-chao Qiao China
Hidehito Saito Japan
Finny Monickaraj United States
Mahendra Prasad Bhatt South Korea
Louie G. Linarelli United States
N Ohsawa Japan
Simona Cugusi United States
J. Garcia-Leme Brazil
Jiangming Luo Canada
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Citations per field
00.5×2.9×
Roberto Towns · 1×
Citations per year

Countries citing papers authored by M. Sensi

Since Specialization
Citations

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

Fields of papers citing papers by M. Sensi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198364
2 199553
3
Advanced nonenzymatic glycation endproducts (AGE): their relevance to aging and the pathogenesis of late diabetic complications.
199139
4 198134
5 198932
6 197830
7 199326
8 199619
9 198316
10 199915
11
Inhibition of the receptor for interleukin-2 induced by carbimazole: relevance for the therapy of autoimmune thyroid disease.
198514
12 198413
13
Sensitive immunoenzymatic assay for urinary immunoglobulin subclasses of different pH: its significance in diabetic patients.
198711
14 199310
15 200510
16
Activated T cells in Graves' disease before treatment.
198510
17 19869
18 20088
19 19988
20 19818

About M. Sensi

M. Sensi is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Nephrology, having authored 52 papers that have together received 536 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (19 papers), Diabetes and associated disorders (16 papers), Diabetes Management and Research (10 papers), Pancreatic function and diabetes (10 papers), Chronic Kidney Disease and Diabetes (6 papers), Immune Cell Function and Interaction (5 papers), Biochemical effects in animals (5 papers) and Natural Antidiabetic Agents Studies (5 papers). The work is most often cited by research in Clinical Biochemistry (142 citations), Endocrinology, Diabetes and Metabolism (209 citations), Nephrology (37 citations), Genetics (153 citations) and Neurology (33 citations). M. Sensi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include D Andreani, Paolo Pozzilli, Umberto Di Mario, Susanna Morano, Flavia Pricci, Maria Grazia Rossi, A G Cudworth, David I. Perrett, B.M. Dean and G. F. Bottazzo. Their work appears in journals such as Diabetologia, Acta Diabetologica, European Journal of Neuroscience, Transplantation and Annals of the New York Academy of Sciences.

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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