Carl Soderland

2.1k citations
32 papers · 1.7k · h-index 19

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Carl Soderland

32 papers receiving 1.7k citations

Peers

Carl Soderland
Comparison fields: 5 of 97
  • Virology 248
  • Neurology 193
  • Immunology 461
  • Nephrology 108
  • Ophthalmology 119
Replace Monika Pruenster with:
Monika Pruenster Germany
J E Scherberich Germany
Joshua T. Rubin United States
J M Wang Italy
Maureen Gallant Canada
Juan I. Aróstegui Spain
E. Kreuzfelder Germany
Fumihiko Kimura Japan
Bjarne Kuno Møller Denmark
Lilian Varga Hungary
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Citations per field
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Monika Pruenster · 1×
Citations per year

Countries citing papers authored by Carl Soderland

Since Specialization
Citations

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

Fields of papers citing papers by Carl Soderland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003446
2 1996247
3 1997137
4 2003118
5 199390
6 199588
7 198456
8 201255
9 201255
10 201251
11 200041
12 197740
13 201339
14 200034
15 199527
16 200926
17 197722
18 197421
19
Insulin-like growth factor binding protein-3 inhibits monocyte adhesion to retinal endothelial cells in high glucose conditions.
201318
20 200117

About Carl Soderland

Carl Soderland is a scholar working on Immunology, Molecular Biology, Oncology, Nephrology and Genetics, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Complement system in diseases (4 papers), HIV Research and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Liver physiology and pathology (2 papers), Xenotransplantation and immune response (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Virology (248 citations), Neurology (193 citations), Immunology (461 citations), Nephrology (108 citations) and Ophthalmology (119 citations). Carl Soderland has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Joaquín J. Jiménez, Lawrence L. Horstman, Wenche Jy, Yeon S. Ahn, Lucía Mercedes Mauro, Donald Pious, Qiuhua Zhang, Jena J. Steinle, Hans S.L.M. Nottet and Youde Jiang. Their work appears in journals such as The Journal of Immunology, Investigative Ophthalmology & Visual Science, Infection and Immunity, British Journal of Haematology and Thrombosis Research.

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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