John Ryan

3.4k citations
77 papers · 1.6k indexed · h-index 23

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
  • Hematology top 5%
    • Iron Metabolism and Disorders

Papers in

    • Hepatitis C virus research 8
    • Liver Disease and Transplantation 7
    • Iron Metabolism and Disorders 12

John Ryan

72 papers receiving 1.5k citations

Peers

John Ryan
Comparison fields: 5 of 138
  • Hepatology 349
  • Hematology 233
  • Epidemiology 592
  • Endocrinology, Diabetes and Metabolism 268
  • Genetics 166
Replace Qian Zhu with:
Qian Zhu China
Paul Hengster Austria
Kenneth D. Beaman United States
Jun‐ichi Kawada Japan
Sukanta Das India
Gareth W. Jones United Kingdom
Asmaa M. Zahran Egypt
Yoshinari Matsumoto Japan
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Citations per field
00.5×4.5×
Qian Zhu · 1×
Citations per year

Countries citing papers authored by John Ryan

Since Specialization
Citations

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

Fields of papers citing papers by John Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987156
2 200589
3 201677
4 202276
5 201775
6 201974
7 201773
8 201672
9 201560
10 201958
11 201951
12 201050
13 201348
14 202344
15 201241
16 201341
17 200633
18 201233
19 201530
20 202028

About John Ryan

John Ryan is a scholar working on Hepatology, Hematology, Genetics, Epidemiology and Health Informatics, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Iron Metabolism and Disorders (12 papers), Hemoglobinopathies and Related Disorders (8 papers), Trace Elements in Health (8 papers), Hepatitis C virus research (8 papers), Liver Disease and Transplantation (7 papers), Hepatitis B Virus Studies (4 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Hepatology (349 citations), Hematology (233 citations), Epidemiology (592 citations), Endocrinology, Diabetes and Metabolism (268 citations) and Genetics (166 citations). John Ryan has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include John R. Goellner, J. Aidan Carney, Michael Pavlides, Emmanuel Tsochatzis, Pathik Parikh, Ahmad Moolla, John Crowe, Paul C. Adams, Matthew W. Lawless and Jeremy Cobbold. Their work appears in journals such as Clinical Gastroenterology and Hepatology, Journal of Hepatology, Liver International, Hepatology and The Journal of Immunology.

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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