F. Conti

1.6k citations
44 papers · 1.3k · h-index 20

Impact in

Papers in

F. Conti

42 papers receiving 1.3k citations

Peers

F. Conti
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 431
  • Nephrology 172
  • Physiology 287
  • Orthopedics and Sports Medicine 82
  • Clinical Biochemistry 50
Replace Elvira Fernández with:
Elvira Fernández Spain
Andrzej Książek Poland
Erman Çakal Türkiye
Yu Cho Woo Hong Kong
Sun Ok Song South Korea
Tanya L. Medley Australia
Peter Claes Eskildsen Denmark
Nilgün Güvener Türkiye
Barış Akıncı Türkiye
Giacomo Nicocia Italy
F. Conti relative to Elvira Fernández Spain Elvira Fernández's profile →
Citations per field
00.5×1.5×2.4×
Elvira Fernández · 1×
Citations per year

Countries citing papers authored by F. Conti

Since Specialization
Citations

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

Fields of papers citing papers by F. Conti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Progressive glomerulosclerosis develops in transgenic mice chronically expressing growth hormone and growth hormone releasing factor but not in those expressing insulinlike growth factor-1.
1988272
2 1988107
3 2019105
4 201296
5
Insulinlike growth factor-1 is a progression factor for human mesangial cells.
198960
6 198854
7 201752
8 201547
9 201344
10 201340
11 201539
12 201535
13 198935
14 200834
15 201734
16 202131
17 201727
18 201726
19 199121
20 199720

About F. Conti

F. Conti is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Surgery, Molecular Biology and Genetics, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Physical Activity and Health (5 papers), Systemic Lupus Erythematosus Research (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Renal Diseases and Glomerulopathies (4 papers), Bone health and osteoporosis research (3 papers), Digestive system and related health (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (431 citations), Nephrology (172 citations), Physiology (287 citations), Orthopedics and Sports Medicine (82 citations) and Clinical Biochemistry (50 citations). F. Conti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Liliane J. Striker, Giuseppe Pugliese, Toshio Doi, Sharon J. Elliot, Gary E. Striker, Richard R. Behringer, Carol J. Quaife, Ralph L. Brinster, R D Palmiter and Antonio Nicolucci. Their work appears in journals such as Annals of the Rheumatic Diseases, Diabetes Research and Clinical Practice, Endocrinology, Diabetes Care and PLoS ONE.

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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