Chris Willars

703 citations
21 papers · 448 · h-index 10

Impact in

  • Hepatology top 2%
    • Liver Disease and Transplantation
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Liver Disease and Transplantation 9
    • Hemodynamic Monitoring and Therapy 3
    • Organ Transplantation Techniques and Outcomes 3
    • Transplantation: Methods and Outcomes 2

Chris Willars

20 papers receiving 431 citations

Peers

Chris Willars
Comparison fields: 5 of 54
  • Hepatology 292
  • Pharmacology 123
  • Nephrology 46
  • Critical Care and Intensive Care Medicine 21
  • Epidemiology 145
Replace L. Colin with:
L. Colin Belgium
Pierluigi Incerti Italy
Caroline Schultheiß Germany
Nancy L. Ascher United States
María E. Baccaro Spain
Rémy Schwarzer Austria
Prem Kandiah United States
F. Wischhusen Germany
Samuel Lee Canada
Eduardo Picabea Argentina
Chris Willars relative to L. Colin Belgium L. Colin's profile →
Citations per field
00.5×3.2×
L. Colin · 1×
Citations per year

Countries citing papers authored by Chris Willars

Since Specialization
Citations

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

Fields of papers citing papers by Chris Willars

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013123
2 201484
3 201353
4 201344
5 201224
6 201523
7 201222
8 201619
9 201419
10 201410
11 20117
12 20147
13 20244
14 20202
15 20122
16 20111
17 20121
18 20141
19 20121
20 20141

About Chris Willars

Chris Willars is a scholar working on Hepatology, Surgery, Epidemiology, Biomedical Engineering and Pharmacology, having authored 21 papers that have together received 448 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (9 papers), Liver Disease Diagnosis and Treatment (4 papers), Mechanical Circulatory Support Devices (4 papers), Hemodynamic Monitoring and Therapy (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Transplantation: Methods and Outcomes (2 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Hepatology (292 citations), Pharmacology (123 citations), Nephrology (46 citations), Critical Care and Intensive Care Medicine (21 citations) and Epidemiology (145 citations). Chris Willars has collaborated with scholars based in United Kingdom, United States and Bulgaria. Frequent co-authors include Georg Auzinger, Julia Wendon, William Bernal, Roy Sherwood, Andrew Slack, Mark McPhail, Tracy Dew, Rebecca Musto, Vinod K. Audimoolam and Debbie L. Shawcross. Their work appears in journals such as Critical Care, Journal of Hepatology, Current Opinion in Critical Care, Liver International and Critical Care Medicine.

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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