Daniel Ganger

1.5k citations
31 papers · 1.0k · h-index 19

Impact in

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

Papers in

    • Liver Disease and Transplantation 19
    • Liver Diseases and Immunity 5
    • Hepatocellular Carcinoma Treatment and Prognosis 2
    • Liver Disease Diagnosis and Treatment 12

Daniel Ganger

28 papers receiving 1.0k citations

Peers

Daniel Ganger
Comparison fields: 5 of 81
  • Hepatology 651
  • Epidemiology 668
  • Pharmacology 129
  • Geriatrics and Gerontology 34
  • Emergency Medicine 53
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Daniel Ganger relative to Sunil Taneja India Sunil Taneja's profile →
Citations per field
00.5×2.6×
Sunil Taneja · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011186
2 2012118
3 201775
4 201863
5 202160
6 201651
7 201151
8 199444
9 200142
10 200140
11 201437
12
D-xylose malabsorption: characteristic finding in patients with the AIDS wasting syndrome and chronic diarrhea.
199232
13 199731
14 202129
15 201529
16 201727
17 201724
18 202121
19 202221
20 202313

About Daniel Ganger

Daniel Ganger is a scholar working on Hepatology, Epidemiology, Pharmacology, Surgery and Physiology, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (19 papers), Liver Disease Diagnosis and Treatment (12 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Liver Diseases and Immunity (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Poisoning and overdose treatments (3 papers), Nutrition and Health in Aging (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Hepatology (651 citations), Epidemiology (668 citations), Pharmacology (129 citations), Geriatrics and Gerontology (34 citations) and Emergency Medicine (53 citations). Daniel Ganger has collaborated with scholars based in United States, Canada and Vietnam. Frequent co-authors include Frank H. Miller, Lisa B. VanWagner, Zongming E. Chen, Saurabh Shah, Bradley D. Bolster, Reed A. Omary, Josh Levitsky, Donald M. Jensen, Helen S. Te and William M. Lee. 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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