Alan Wigg

1.8k citations
79 papers · 1.0k indexed · h-index 16

Impact in

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

Papers in

    • Liver Disease and Transplantation 36
    • Hepatocellular Carcinoma Treatment and Prognosis 18
    • Hepatitis C virus research 17
    • Liver Disease Diagnosis and Treatment 41
    • Hepatitis B Virus Studies 14

Alan Wigg

71 papers receiving 999 citations

Peers

Alan Wigg
Comparison fields: 5 of 82
  • Hepatology 782
  • Transplantation 47
  • Epidemiology 594
  • Surgery 377
  • Pharmacology 53
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Ayse Aytaman United States
M.P. Manns Germany
Alberto Brolese Italy
Gian Luigi Adani Italy
Akash Shukla India
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Citations per field
00.5×3.9×
Ayse Aytaman · 1×
Citations per year

Countries citing papers authored by Alan Wigg

Since Specialization
Citations

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

Fields of papers citing papers by Alan Wigg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018107
2 201399
3 201577
4 200466
5 201048
6 202047
7 201938
8 201928
9 201326
10 201826
11 201525
12 201525
13 202119
14 201018
15 202018
16 201016
17 201015
18 201815
19 201915
20 200314

About Alan Wigg

Alan Wigg is a scholar working on Hepatology, Epidemiology, Surgery, Transplantation and General Health Professions, having authored 79 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (41 papers), Liver Disease and Transplantation (36 papers), Organ Transplantation Techniques and Outcomes (24 papers), Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Hepatitis C virus research (17 papers), Hepatitis B Virus Studies (14 papers), Renal Transplantation Outcomes and Treatments (7 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers). The work is most often cited by research in Hepatology (782 citations), Transplantation (47 citations), Epidemiology (594 citations), Surgery (377 citations) and Pharmacology (53 citations). Alan Wigg has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include Richard Woodman, Rachel Wundke, Rosemary McCormick, Mohamed Asif Chinnaratha, David Mutimer, Bridget Gunson, Jeyamani Ramachandran, David R. Wigg, Robert Fraser and Kate Muller. Their work appears in journals such as Journal of Gastroenterology and Hepatology, The Medical Journal of Australia, Liver Transplantation, Clinical Gastroenterology and Hepatology and Journal of Hepatology.

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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