Daniel Galandi

15 papers receiving 503 citations

Peers

Daniel Galandi
Comparison fields: 5 of 88
  • Hepatology 97
  • Gastroenterology 37
  • Reproductive Medicine 47
  • Surgery 150
  • Statistics, Probability and Uncertainty 26
Replace Seong Su Hwang with:
Seong Su Hwang South Korea
Ronald J. Place United States
Gert Huppertz‐Hauss Norway
György Lázár Hungary
Madison C. Cuffy United States
Y. Shima Japan
Alan Morgan United States
H.B. Nunnerley United Kingdom
Ahmad Elnahas Canada
Annabelle Stoclin France
Daniel Galandi relative to Seong Su Hwang South Korea Seong Su Hwang's profile →
Citations per field
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Seong Su Hwang · 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-authors

The 20 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

17 of 17 papers shown
#Work
1 2006239
2 200762
3 200648
4 200247
5 200445
6 201327
7 200218
8 200216
9 199916
10 200115
11 20087
12 20026
13 20073
14 20082
15 20061
16 20030
17 20020

About Daniel Galandi

Daniel Galandi is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, General Health Professions, Hepatology and Epidemiology, having authored 17 papers that have together received 552 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (7 papers), Clinical practice guidelines implementation (5 papers), Health Sciences Research and Education (3 papers), Liver Disease and Transplantation (2 papers), Gastrointestinal motility and disorders (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Hepatology (97 citations), Gastroenterology (37 citations), Reproductive Medicine (47 citations), Surgery (150 citations) and Statistics, Probability and Uncertainty (26 citations). Daniel Galandi has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Gerhild Becker, Hubert E. Blum, Gerd Antes, Guido Schwarzer, Dirk Bassler, Bertil Bouillon, Joerg J Meerpohl, Carola Xander, Ina Zuber and Hans‐Peter Allgaier. Their work appears in journals such as Cochrane Database of Systematic Reviews, Digestive Diseases, Journal of Pain and Symptom Management, Langenbeck s Archives of Surgery and European Journal of Cancer.

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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