Martin Lagging

6.8k citations
116 papers · 4.1k · h-index 32

Impact in

  • Hepatology top 0.1%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatitis C virus research 75
    • Hepatitis Viruses Studies and Epidemiology 9
    • Hepatitis B Virus Studies 31
    • Liver Disease Diagnosis and Treatment 30

Martin Lagging

114 papers receiving 4.0k citations

Peers

Martin Lagging
Comparison fields: 5 of 115
  • Hepatology 2.9k
  • Epidemiology 1.9k
  • Infectious Diseases 451
  • Virology 94
  • Rheumatology 252
Replace Jake T. Liang with:
Jake T. Liang United States
Jean‐Pierre Zarski France
Masaya Sugiyama Japan
Ran Tur‐Kaspa Israel
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David Wong Canada
Laurent Alric France
Norio Horiike Japan
Giovanna Fattovich Italy
U. Hopf Germany
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Citations per field
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Citations per year

Countries citing papers authored by Martin Lagging

Since Specialization
Citations

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

Fields of papers citing papers by Martin Lagging

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996325
2 2002227
3 1995218
4 2006182
5 2006179
6 1999171
7 1995124
8 2011122
9 2005117
10 2020113
11 2005113
12 2008112
13 2002111
14 2009101
15 199896
16 201590
17 201186
18 201085
19 201182
20 200664

About Martin Lagging

Martin Lagging is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Immunology and Rheumatology, having authored 116 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (75 papers), Hepatitis B Virus Studies (31 papers), Liver Disease Diagnosis and Treatment (30 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Hepatitis Viruses Studies and Epidemiology (9 papers), Systemic Lupus Erythematosus Research (6 papers), HIV/AIDS drug development and treatment (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Hepatology (2.9k citations), Epidemiology (1.9k citations), Infectious Diseases (451 citations), Virology (94 citations) and Rheumatology (252 citations). Martin Lagging has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Keith Meyer, Gunnar Norkrans, Johan Westin, Ranjit Ray, Rune Wejstål, Kristoffer Hellstrand, Magnus Lindh, Stefan Zeuzem, Francesco Negro and Avidan U. Neumann. Their work appears in journals such as PLoS ONE, Journal of Hepatology, Scandinavian Journal of Gastroenterology, Journal of Viral Hepatitis and Infectious Diseases.

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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