Daniel Ganger

1.6k citations
32 papers · 1.0k · h-index 19

Impact in

  • Hepatology top 1%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis C virus research
    • Liver Diseases and Immunity
    • Liver Disease Diagnosis and Treatment

Papers in

    • Liver Disease Diagnosis and Treatment 10
    • Congenital Heart Disease Studies 3
    • Liver Disease and Transplantation 8
    • Liver Diseases and Immunity 3
    • Hepatocellular Carcinoma Treatment and Prognosis 1

Daniel Ganger

28 papers receiving 1.0k citations

Peers

Daniel Ganger
Comparison fields: 5 of 72
  • Hepatology 466
  • Epidemiology 508
  • Pharmacology 122
  • Geriatrics and Gerontology 27
  • Emergency Medicine 39
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Citations per field
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Javier Martínez · 1×
Citations per year

Countries citing papers authored by Daniel Ganger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ganger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011186
2 2012119
3 201776
4 202168
5 201864
6 201651
7 201151
8 199444
9 200142
10 200140
11 201437
12 202132
13
D-xylose malabsorption: characteristic finding in patients with the AIDS wasting syndrome and chronic diarrhea.
199232
14 199731
15 201529
16 201727
17 201725
18 202123
19 202221
20 202313

About Daniel Ganger

Daniel Ganger is a scholar working on Epidemiology, Hepatology, Pharmacology, Surgery and Nutrition and Dietetics, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Liver Disease and Transplantation (8 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Liver Diseases and Immunity (3 papers), Congenital Heart Disease Studies (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Clinical Nutrition and Gastroenterology (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Hepatology (466 citations), Epidemiology (508 citations), Pharmacology (122 citations), Geriatrics and Gerontology (27 citations) and Emergency Medicine (39 citations). Daniel Ganger has collaborated with scholars based in United States, Vietnam and Canada. Frequent co-authors include Frank H. Miller, Lisa B. VanWagner, Bradley D. Bolster, Saurabh Shah, Zongming E. Chen, Josh Levitsky, Reed A. Omary, Donald M. Jensen, William M. Lee and Helen S. Te. Their work appears in journals such as Hepatology, Transplantation, The American Journal of Gastroenterology, Critical Care Medicine and Liver Transplantation.

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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