Julia Janzen

1.5k citations
18 papers · 1.3k · h-index 15

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • NF-κB Signaling Pathways

Papers in

    • NF-κB Signaling Pathways 7
    • Immune Response and Inflammation 7
    • T-cell and B-cell Immunology 3
    • interferon and immune responses 2

Julia Janzen

18 papers receiving 1.2k citations

Peers

Julia Janzen
Comparison fields: 5 of 93
  • Immunology 461
  • Cancer Research 297
  • Biochemistry 114
  • Cellular and Molecular Neuroscience 235
  • Molecular Biology 618
Replace Kazuhiro Kitada with:
Kazuhiro Kitada Japan
Jane P. Richards United States
Meredith Calvert United States
Ann De Mazière Netherlands
Jean Burckhardt United States
John R. P. Knight United Kingdom
Maja Radulovic United States
Keiko Yamada Japan
Christine T. DeMaria United States
H Sakura Japan
Julia Janzen relative to Kazuhiro Kitada Japan Kazuhiro Kitada's profile →
Citations per field
00.5×2×3×4.3×
Kazuhiro Kitada · 1×
Citations per year

Countries citing papers authored by Julia Janzen

Since Specialization
Citations

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

Fields of papers citing papers by Julia Janzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2000315
2 1997293
3 2001118
4 2002114
5 200481
6 201259
7 200858
8 201239
9 199735
10 201434
11 202028
12 201426
13 200021
14 202121
15 200718
16 201314
17 20249
18 20028

About Julia Janzen

Julia Janzen is a scholar working on Cancer Research, Immunology, Oncology, Biochemistry and Dermatology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (7 papers), Immune Response and Inflammation (7 papers), T-cell and B-cell Immunology (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), interferon and immune responses (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Immunology (461 citations), Cancer Research (297 citations), Biochemistry (114 citations), Cellular and Molecular Neuroscience (235 citations) and Molecular Biology (618 citations). Julia Janzen has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Steven C. Ley, Wilhelm Stoffel, Panagiotis S. Kabouridis, Yasmina Soneji, Hamish Allen, Andrés Salmerón, Stamatia Papoutsopoulou, Nancy J. Bump, Joanne Kamens and Mônica P. Belich. Their work appears in journals such as Molecular and Cellular Biology, European Journal of Immunology, The EMBO Journal, Journal of Cell Science and Nature 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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