Diamond Joy

465 citations
8 papers · 415 · h-index 5

Impact in

  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
  • Hepatology top 10%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Pancreatitis Pathology and Treatment 2
    • Pediatric Hepatobiliary Diseases and Treatments 2
    • Esophageal and GI Pathology 1
    • Liver Disease Diagnosis and Treatment 2

Diamond Joy

7 papers receiving 404 citations

Peers

Diamond Joy
Comparison fields: 5 of 47
  • Epidemiology 271
  • Hepatology 56
  • Endocrinology, Diabetes and Metabolism 79
  • Pathology and Forensic Medicine 26
  • Cardiology and Cardiovascular Medicine 29
Replace Marcelo Garcia Toneto with:
Marcelo Garcia Toneto Brazil
Neven Franjić Croatia
Pasquale Surace Italy
Jin Hwa Kang South Korea
Anne Le Sidaner France
Jayanta Paul India
Filippo Cattazzo Italy
B Bastens Belgium
Mauricio García-Saenz-de-Sicilia United States
Claudia Sanna Italy
Diamond Joy relative to Marcelo Garcia Toneto Brazil Marcelo Garcia Toneto's profile →
Citations per field
00.5×1.5×
Marcelo Garcia Toneto · 1×
Citations per year

Countries citing papers authored by Diamond Joy

Since Specialization
Citations

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

Fields of papers citing papers by Diamond Joy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Diamond Joy, 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 Diamond Joy Line = papers co-authored together Diamond Joy links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2003310
2 200365
3 201115
4 201614
5 20158
6 20172
7 20101
8 20060

About Diamond Joy

Diamond Joy is a scholar working on Surgery, Epidemiology, Oncology, Hepatology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 415 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (2 papers), Liver Disease and Transplantation (2 papers), Pancreatitis Pathology and Treatment (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Esophageal and GI Pathology (1 paper) and Gallbladder and Bile Duct Disorders (1 paper). The work is most often cited by research in Epidemiology (271 citations), Hepatology (56 citations), Endocrinology, Diabetes and Metabolism (79 citations), Pathology and Forensic Medicine (26 citations) and Cardiology and Cardiovascular Medicine (29 citations). Diamond Joy has collaborated with scholars based in United Kingdom and Saudi Arabia. Frequent co-authors include B B Scott, V. Wadehra, Kofi Oppong, Arvind Ramadas, Rohit Sinha, Matthew Kurien, David S. Sanders, John Greenaway, J. Campbell and Andrew D. Hopper. Their work appears in journals such as European Journal of Gastroenterology & Hepatology, Gastrointestinal Endoscopy, Pancreas, Scandinavian Journal of Gastroenterology and Gastrointestinal Nursing.

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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