Daniel Galandi

769 citations
13 papers · 505 indexed · h-index 10

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Ovarian cancer diagnosis and treatment

Papers in

Daniel Galandi

12 papers receiving 473 citations

Peers

Daniel Galandi
Comparison fields: 5 of 94
  • Hepatology 113
  • Reproductive Medicine 58
  • Gastroenterology 35
  • Statistics, Probability and Uncertainty 36
  • Surgery 202
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Yama Issa Netherlands
Oliver S. Eng United States
György Lázár Hungary
Caro Noake United Kingdom
Young Ha Park South Korea
Karen Kling United States
Yiannis Philippou United Kingdom
Zhuo Yang United States
Sven Richter Germany
Lisa Criscione‐Schreiber United States
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Citations per field
00.5×9.4×
Yama Issa · 1×
Citations per year

Countries citing papers authored by Daniel Galandi

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Galandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Daniel Galandi, 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 Daniel Galandi Line = papers co-authored together Daniel Galandi links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201327
2 20086
3 200753
4 200648
5 2006214
6 200445
7 20030
8 200218
9 200216
10 200242
11 20026
12 200114
13 199916

About Daniel Galandi

Daniel Galandi is a scholar working on Hepatology, Statistics, Probability and Uncertainty, Gastroenterology, Immunology and Allergy and Nephrology, having authored 13 papers that have together received 505 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Meta-analysis and systematic reviews (3 papers), Liver Disease and Transplantation (3 papers), Clinical practice guidelines implementation (2 papers), Gastrointestinal motility and disorders (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Gastroesophageal reflux and treatments (1 paper). The work is most often cited by research in Hepatology (113 citations), Reproductive Medicine (58 citations), Gastroenterology (35 citations), Statistics, Probability and Uncertainty (36 citations) and Surgery (202 citations). Daniel Galandi has collaborated with scholars based in Germany, United Kingdom and Denmark. Frequent co-authors include Gerhild Becker, Hubert E. Blum, Gerd Antes, Guido Schwarzer, Dirk Bassler, Bertil Bouillon, Joerg J Meerpohl, Hans‐Peter Allgaier, Ina Zuber and Carola Xander. Their work appears in journals such as Cochrane Database of Systematic Reviews, Langenbeck s Archives of Surgery, European Journal of Cancer, Digestive Diseases and BMC Medical Research Methodology.

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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