Jonathan Solberg

677 citations
14 papers · 559 · h-index 10

Impact in

Papers in

    • Receptor Mechanisms and Signaling 5
    • Pharmacological Receptor Mechanisms and Effects 5
    • Protein Degradation and Inhibitors 2
    • Bacillus and Francisella bacterial research 2
    • Neuropeptides and Animal Physiology 5

Jonathan Solberg

12 papers receiving 546 citations

Peers

Jonathan Solberg
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 221
  • Virology 55
  • Immunology 161
  • Molecular Biology 345
  • Microbiology 21
Replace B A Kruskal with:
B A Kruskal United States
John H. Walker United Kingdom
Pablo Gluschankof France
Adrian Cohen Netherlands
Darinka Sakac Canada
Rana A. K. Singh United States
Andreas Hein Germany
Xiuzhen Yan United States
Denise Vogel Switzerland
Daryl Faulds United States
Jonathan Solberg relative to B A Kruskal United States B A Kruskal's profile →
Citations per field
00.5×2.9×
B A Kruskal · 1×
Citations per year

Countries citing papers authored by Jonathan Solberg

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Solberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2011104
2 200693
3 200092
4 200782
5 200070
6 200055
7 200918
8 201317
9 200011
10 20059
11 20205
12 20153
13 20250
14 20250

About Jonathan Solberg

Jonathan Solberg is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Hematology, Genetics and Immunology, having authored 14 papers that have together received 559 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (5 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Protein Degradation and Inhibitors (2 papers), Bacillus and Francisella bacterial research (2 papers), Bacterial Genetics and Biotechnology (2 papers), Immune Response and Inflammation (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (221 citations), Virology (55 citations), Immunology (161 citations), Molecular Biology (345 citations) and Microbiology (21 citations). Jonathan Solberg has collaborated with scholars based in United States and China. Frequent co-authors include Ping‐Yee Law, Horace H. Loh, Jon R. Inglefield, Tarun Kanti Ghosh, Şefik Ş. Alkan, Wei Wang, Derek J. Hook, Kenneth E. Lipson, Guilin Wang and Lee H. Dicker. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, ACS Chemical Biology, European Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

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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