Glen Lindwall

420 citations
9 papers · 371 · h-index 9

Impact in

    • interferon and immune responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Cytokine Signaling Pathways and Interactions

Papers in

    • RNA Interference and Gene Delivery 2
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 2

Glen Lindwall

9 papers receiving 361 citations

Peers

Glen Lindwall
Comparison fields: 5 of 67
  • Immunology 158
  • Oncology 132
  • Biochemistry 18
  • Cancer Research 33
  • Pharmacology 20
Replace Angela Leow with:
Angela Leow Netherlands
Timo Siitonen Finland
Rebecca Patenia United States
Stefan A. Cohen United States
Junichi Kitazawa Japan
Takashi Bando Japan
Daniela Kassahn Switzerland
Xinxia Feng China
J Gidáli Hungary
Benjamin Kühn United States
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Citations per field
00.5×3.3×
Angela Leow · 1×
Citations per year

Countries citing papers authored by Glen Lindwall

Since Specialization
Citations

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

Fields of papers citing papers by Glen Lindwall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1993145
2 199151
3 199045
4 198735
5 200733
6 200621
7 201317
8 199013
9 201011

About Glen Lindwall

Glen Lindwall is a scholar working on Molecular Biology, Immunology, Pharmaceutical Science, Genetics and Dermatology, having authored 9 papers that have together received 371 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), RNA Interference and Gene Delivery (2 papers), Estrogen and related hormone effects (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Digestive system and related health (1 paper), Liver physiology and pathology (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Immunology (158 citations), Oncology (132 citations), Biochemistry (18 citations), Cancer Research (33 citations) and Pharmacology (20 citations). Glen Lindwall has collaborated with scholars based in United States. Frequent co-authors include Alfred L.M. Bothwell, Stephen E. Maher, Khuda Dad Khan, Ke Shuai, James Darnell, Thomas Boyer, Marc K. Hellerstein, Scott Turner, Abraham P. Bautista and Margot M. Bridgett. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Clinical and Translational Medicine, Proceedings of the National Academy of Sciences and Journal of Investigative Dermatology.

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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