Mario Motta

97 papers receiving 2.0k citations

Peers

Mario Motta
Comparison fields: 5 of 107
  • Rheumatology 797
  • Urology 205
  • Obstetrics and Gynecology 192
  • Nephrology 151
  • Hematology 233
Replace Ulrich M. Vischer with:
Ulrich M. Vischer Switzerland
Amparo Vayá Spain
Manju Chandra United States
Annika E. Michelsen Norway
Ilir Agalliu United States
Georg Schatzl Austria
C.W.G. Redman United Kingdom
Luis J. Jara Mexico
Luís Castaño Spain
Riccardo Melicòni Italy
Mario Motta relative to Ulrich M. Vischer Switzerland Ulrich M. Vischer's profile →
Citations per field
00.5×10×15.8×
Ulrich M. Vischer · 1×
Citations per year

Countries citing papers authored by Mario Motta

Since Specialization
Citations

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

Fields of papers citing papers by Mario Motta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002174
2 2002101
3 200496
4 200466
5 200066
6 201065
7 200558
8 201157
9 200656
10 201549
11
Lipoprotein (a) behaviour in patients with hepatocellular carcinoma.
200149
12 200643
13 200543
14
Involvement of HSP70 in resveratrol-induced apoptosis of human prostate cancer.
200441
15 201438
16 201234
17 200834
18 200434
19 200632
20 200631

About Mario Motta

Mario Motta is a scholar working on Rheumatology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Genetics, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (30 papers), Pregnancy and Medication Impact (17 papers), Neonatal Health and Biochemistry (14 papers), Pregnancy and preeclampsia studies (14 papers), Neonatal Respiratory Health Research (14 papers), Renal Diseases and Glomerulopathies (11 papers), Blood disorders and treatments (7 papers) and Platelet Disorders and Treatments (7 papers). The work is most often cited by research in Rheumatology (797 citations), Urology (205 citations), Obstetrics and Gynecology (192 citations), Nephrology (151 citations) and Hematology (233 citations). Mario Motta has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Anǵela Tincani, Andrea Lojacono, G Chirico, Micol Frassi, Maurizio Radicioni, Claudio Migliori, Laura Andréoli, Pier Luigi Meroni, Rolando Cimaz and Antonio Del Vecchio. Their work appears in journals such as Lupus, The Journal of Maternal-Fetal & Neonatal Medicine, Annals of the Rheumatic Diseases, Acta Paediatrica and Early Human Development.

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.

Explore authors with similar magnitude of impact