Jonas Söderholm

1.2k citations
28 papers · 965 · h-index 15

Impact in

Papers in

    • Hepatitis C virus research 20
    • Liver Disease and Transplantation 3
    • Liver Disease Diagnosis and Treatment 11
    • Hepatitis B Virus Studies 10

Jonas Söderholm

28 papers receiving 940 citations

Peers

Jonas Söderholm
Comparison fields: 5 of 61
  • Hepatology 516
  • Pharmaceutical Science 118
  • Immunology 315
  • Virology 68
  • Epidemiology 461
Replace Laura Madrigal-Estebas with:
Laura Madrigal-Estebas Ireland
Benjamin Israelow United States
Michela Brazzoli Italy
J Culp United States
Ariel Isaacs Australia
T Ooka France
Kevin Crawford Canada
Christine Dong United States
Luzheng Liu United States
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Jonas Söderholm relative to Laura Madrigal-Estebas Ireland Laura Madrigal-Estebas's profile →
Citations per field
00.5×4.2×
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Citations per year

Countries citing papers authored by Jonas Söderholm

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Söderholm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011122
2 2010119
3 2007108
4 2009101
5 200587
6 201072
7 200360
8 201050
9 201143
10 201034
11 201733
12 202026
13 201224
14 201120
15 201115
16 201613
17 200610
18 20138
19 20216
20
Ip-10 Is Associated With Il28b Variation And Predicts The First Phase Decline Of Hcv Rna And Outcome Of Therapy In Chronic Hepatitis C
20102

About Jonas Söderholm

Jonas Söderholm is a scholar working on Hepatology, Epidemiology, Immunology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 28 papers that have together received 965 indexed citations. Recurring topics across this work include Hepatitis C virus research (20 papers), Liver Disease Diagnosis and Treatment (11 papers), Hepatitis B Virus Studies (10 papers), Liver Disease and Transplantation (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Transgenic Plants and Applications (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Hepatology (516 citations), Pharmaceutical Science (118 citations), Immunology (315 citations), Virology (68 citations) and Epidemiology (461 citations). Jonas Söderholm has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Matti Sällberg, Harvinder Singh Gill, Mark R. Prausnitz, Kristoffer Hellstrand, Lars Frelin, Martin Lagging, Johan Westin, Francesco Negro, Avidan U. Neumann and Carlo Ferrari. Their work appears in journals such as Journal of Hepatology, Gene Therapy, PLoS ONE, Gut 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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