John C. McVey

1.1k citations
27 papers · 460 · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 7
    • Liver Disease and Transplantation 7
    • Liver Disease Diagnosis and Treatment 9

John C. McVey

26 papers receiving 453 citations

Peers

John C. McVey
Comparison fields: 5 of 59
  • Hepatology 151
  • Transplantation 27
  • Epidemiology 153
  • Cancer Research 55
  • Oncology 98
Replace Yanjun Shi with:
Yanjun Shi China
Xiaojie Gan China
Barbara Mosterman United States
Masaaki Awane Japan
Michael Sweeney United States
Sophie Bérissi France
Chloé Paul France
Marcello Ingrosso Italy
Stephanie H. Greco United States
C. Balabaud France
John C. McVey relative to Yanjun Shi China Yanjun Shi's profile →
Citations per field
00.5×4.5×
Yanjun Shi · 1×
Citations per year

Countries citing papers authored by John C. McVey

Since Specialization
Citations

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

Fields of papers citing papers by John C. McVey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. McVey. 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 John C. McVey. The network helps show where John C. McVey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202298
2 201760
3 202055
4 200030
5 201927
6 202124
7 199322
8 201920
9 202218
10 202015
11 201813
12 202312
13 202110
14 20189
15 20198
16 20237
17 20246
18 20245
19 20254
20 20183

About John C. McVey

John C. McVey is a scholar working on Hepatology, Epidemiology, Surgery, Oncology and Molecular Biology, having authored 27 papers that have together received 460 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Organ Transplantation Techniques and Outcomes (7 papers), Liver Disease and Transplantation (7 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Colorectal Cancer Treatments and Studies (2 papers) and Organ and Tissue Transplantation Research (2 papers). The work is most often cited by research in Hepatology (151 citations), Transplantation (27 citations), Epidemiology (153 citations), Cancer Research (55 citations) and Oncology (98 citations). John C. McVey has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Chi Ma, Tim F. Greten, Benjamin Ruf, Simon Wabitsch, Laurence P. Diggs, Bernd Heinrich, Justin McCallen, Daniel J. Firl, Benjamin L. Green and Kazunari Sasaki. Their work appears in journals such as HPB, Liver Transplantation, iScience, Clinical Transplantation and Journal of Clinical Oncology.

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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