S. Riva

24 papers receiving 561 citations

Peers

S. Riva
Comparison fields: 5 of 53
  • Gastroenterology 59
  • Rheumatology 151
  • Hepatology 76
  • Oncology 231
  • Surgery 310
Replace Greg N. Bender with:
Greg N. Bender United States
Paschalis Chatzipantelis Greece
Carlos Robles‐Medranda Ecuador
Tomoe Yoshikawa Japan
Michael Glick United States
Kiyoshi Hajiro Japan
Hussein Okasha Egypt
Takuma Okamura Japan
Kazunori Eto Japan
Iwao Ozawa Japan
S. Riva relative to Greg N. Bender United States Greg N. Bender's profile →
Citations per field
00.5×10×20×34×
Greg N. Bender · 1×
Citations per year

Countries citing papers authored by S. Riva

Since Specialization
Citations

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

Fields of papers citing papers by S. Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003147
2 200792
3 202075
4 202071
5 200437
6 202135
7 201329
8 201516
9 200613
10 201212
11 20209
12
Collagenous colitis and lymphocytic colitis: clinical and endoscopic findings.
20008
13 20046
14 20126
15 20125
16 20135
17 20173
18
Pseudoachalasia secondary to infiltration of the pillars of the diaphragm by an urotelial tumor: Diagnostic approach with endoscopic ultrasound.
20152
19 20041
20 20111

About S. Riva

S. Riva is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Pathology and Forensic Medicine, having authored 27 papers that have together received 578 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (6 papers), Eosinophilic Esophagitis (5 papers), Gastric Cancer Management and Outcomes (5 papers), Gastrointestinal disorders and treatments (4 papers), Genetic factors in colorectal cancer (3 papers), Microscopic Colitis (3 papers), Esophageal and GI Pathology (3 papers) and Vasculitis and related conditions (2 papers). The work is most often cited by research in Gastroenterology (59 citations), Rheumatology (151 citations), Hepatology (76 citations), Oncology (231 citations) and Surgery (310 citations). S. Riva has collaborated with scholars based in Spain and Italy. Frequent co-authors include Miguel Muñoz‐Navas, Ramón Angós, João Subtil, Maite Betés, Maite Herráiz, José María Duque, Elena Atienza Macías, Miguel Delgado‐Rodríguez, Miguel Ángel Martínez‐González and Alfredo J. Lucendo. Their work appears in journals such as Gastrointestinal Endoscopy, Digestive and Liver Disease, Clinical Gastroenterology and Hepatology, The American Journal of Gastroenterology and Alimentary Pharmacology & Therapeutics.

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