Danni Colledge

1.5k citations
33 papers · 1.3k · h-index 21

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 31
    • Liver Disease Diagnosis and Treatment 6
    • Cytomegalovirus and herpesvirus research 2
    • Hepatitis C virus research 19

Danni Colledge

33 papers receiving 1.2k citations

Peers

Danni Colledge
Comparison fields: 5 of 54
  • Hepatology 837
  • Epidemiology 1.1k
  • Infectious Diseases 314
  • Virology 53
  • Immunology 91
Replace Charlotte Hedskog with:
Charlotte Hedskog United States
V. Bichko United States
Christian Pichoud France
L. Earnest-Silveira Australia
Stephanie K. Ladner United States
Harvey M. Lieberman United States
K. N. Tsiquaye United Kingdom
Amy K. Sheaffer United States
Guaniri Mateu United States
Chunkyu Ko Germany
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Citations per field
00.5×1.5×2.4×
Charlotte Hedskog · 1×
Citations per year

Countries citing papers authored by Danni Colledge

Since Specialization
Citations

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

Fields of papers citing papers by Danni Colledge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002130
2 2007124
3 2003105
4 199795
5 200178
6 199778
7 200072
8 200854
9 201153
10 199850
11 201444
12 201639
13 201639
14 201639
15 200736
16 200335
17 199832
18 201131
19 202124
20 200421

About Danni Colledge

Danni Colledge is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Virology and Immunology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (31 papers), Hepatitis C virus research (19 papers), HIV/AIDS drug development and treatment (8 papers), Liver Disease Diagnosis and Treatment (6 papers), HIV Research and Treatment (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Hepatology (837 citations), Epidemiology (1.1k citations), Infectious Diseases (314 citations), Virology (53 citations) and Immunology (91 citations). Danni Colledge has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Stephen Locarnini, Timothy J. Shaw, Ros Edwards, William E. Delaney, Peter Revill, Vitina Sozzi, Margaret Littlejohn, Stephen Locarnini, Jordan J. Feld and George R. Painter. Their work appears in journals such as Journal of Hepatology, Antimicrobial Agents and Chemotherapy, Hepatology, Journal of Virology and Antiviral Research.

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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