Guido Monga

70 papers receiving 2.0k citations

Peers

Guido Monga
Comparison fields: 5 of 89
  • Nephrology 437
  • Transplantation 90
  • Oncology 576
  • Genetics 220
  • Pathology and Forensic Medicine 282
Replace I J ten Berge with:
I J ten Berge Netherlands
Giles Walters Australia
T Törnroth Finland
Kammi Henriksen United States
A. E. Seymour Australia
L J McWilliam United Kingdom
Alain Chevailler France
Christopher F. Mojcik United States
R. John Looney United States
Hernan Sabio United States
Guido Monga relative to I J ten Berge Netherlands I J ten Berge's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guido Monga

Since Specialization
Citations

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

Fields of papers citing papers by Guido Monga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002170
2 2008167
3 1991113
4 1996108
5 201094
6 199581
7 197871
8 200570
9 199061
10 198548
11 201143
12 201042
13 199842
14 200741
15 197940
16 201237
17 200535
18 199935
19 199833
20 199233

About Guido Monga

Guido Monga is a scholar working on Nephrology, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (20 papers), Polyomavirus and related diseases (15 papers), Cell Adhesion Molecules Research (7 papers), Renal and related cancers (6 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Full-Duplex Wireless Communications (5 papers) and Parvovirus B19 Infection Studies (4 papers). The work is most often cited by research in Nephrology (437 citations), Transplantation (90 citations), Oncology (576 citations), Genetics (220 citations) and Pathology and Forensic Medicine (282 citations). Guido Monga has collaborated with scholars based in Italy, Thailand and United States. Frequent co-authors include Renzo Boldorini, Gianna Mazzucco, Claudia Veggiani, Tullio Bertani, Gianni Bussolati, Mirella Fortunato, Monica Bernardi, Monica Leutner, Umberto Miglio and Sara Allegrini. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, ˜The œNephron journals/Nephron journals, American Journal of Kidney Diseases, The Journal of Maternal-Fetal & Neonatal Medicine and American Journal of Clinical Pathology.

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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