A Riva

56 papers receiving 703 citations

Peers

A Riva
Comparison fields: 5 of 101
  • Physiology 230
  • Urology 45
  • Reproductive Medicine 60
  • Endocrine and Autonomic Systems 36
  • Neurology 43
Replace Alessandro Riva with:
Alessandro Riva Italy
Triona Goode Ireland
A. Aoki Argentina
Dalila Laoudj‐Chenivesse France
Wenlei Liu China
Mariusz T. Skowroński Poland
Ben Pansky United States
Yiping Wu China
Sulman Basit Saudi Arabia
P. B�ck Germany
A Riva relative to Alessandro Riva Italy Alessandro Riva's profile →
Citations per field
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Alessandro Riva · 1×
Citations per year

Countries citing papers authored by A Riva

Since Specialization
Citations

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

Fields of papers citing papers by A Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200965
2 200248
3
Fine structure and cytochemistry of the intralobular ducts of the human parotid gland.
197639
4 198836
5 199228
6 199428
7 199428
8 198428
9
Role of basic fibroblast growth factor in the formation of the capillary plexus in the chick embryo chorioallantoic membrane. An in situ hybridization, immunohistochemical and ultrastructural study.
199827
10 199324
11 201023
12
Fine structure of human seminal vesicle epithelium.
196723
13 199922
14
Fine structure of excretory ducts of human salivary glands.
199019
15 200017
16
Cytoskeletal regulation of human salivary secretion studied by high resolution electron microscopy and confocal laser microscopy.
199817
17 198215
18 199615
19 201213
20 200813

About A Riva

A Riva is a scholar working on Physiology, Surgery, Molecular Biology, Urology and Rheumatology, having authored 60 papers that have together received 735 indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (24 papers), Salivary Gland Tumors Diagnosis and Treatment (10 papers), Urologic and reproductive health conditions (6 papers), Urological Disorders and Treatments (6 papers), Glycosylation and Glycoproteins Research (3 papers), Stress Responses and Cortisol (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Physiology (230 citations), Urology (45 citations), Reproductive Medicine (60 citations), Endocrine and Autonomic Systems (36 citations) and Neurology (43 citations). A Riva has collaborated with scholars based in Italy, Sweden and Japan. Frequent co-authors include Francesca Riva, Gerhard Aumüller, Roberto Puxeddu, Bernard Tandler, Jørgen Ekström, M Cossu, Terenzio Congiu, Rita De Matteis, Saverio Cinti and A Segawa. Their work appears in journals such as Oral Diseases, Microscopy Research and Technique, Journal of Anatomy, European Journal of Morphology and Cells Tissues Organs.

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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