Anja Hasenberg

1.9k citations
16 papers · 844 · h-index 9

Impact in

  • Aging top 10%
  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques

Papers in

    • Immune cells in cancer 5
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Immune Response and Inflammation 2

Anja Hasenberg

16 papers receiving 834 citations

Peers

Anja Hasenberg
Comparison fields: 5 of 99
  • Aging 33
  • Biophysics 107
  • Hematology 172
  • Immunology 219
  • Genetics 59
Replace Patrick M. Helbling with:
Patrick M. Helbling Switzerland
Christian Hennig Germany
Roberta B. Nowak United States
Thomas D. Nightingale United Kingdom
Daniel J. Wesche Netherlands
Tomoko Yamada-Inagawa Netherlands
Shiwei Zheng United States
Christian M. Nefzger Australia
Belén Martı́n-Martı́n United Kingdom
Jonathan A. Griffiths United Kingdom
Anja Hasenberg relative to Patrick M. Helbling Switzerland Patrick M. Helbling's profile →
Citations per field
00.5×7.6×
Patrick M. Helbling · 1×
Citations per year

Countries citing papers authored by Anja Hasenberg

Since Specialization
Citations

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

Fields of papers citing papers by Anja Hasenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012391
2 2016237
3 202269
4 202143
5 202228
6 201719
7 201815
8 202313
9 202212
10 20205
11 20203
12 20232
13 20252
14 20242
15 20242
16 20251

About Anja Hasenberg

Anja Hasenberg is a scholar working on Immunology, Molecular Biology, Oncology, Infectious Diseases and Epidemiology, having authored 16 papers that have together received 844 indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Immune Cell Function and Interaction (3 papers), Antifungal resistance and susceptibility (2 papers), T-cell and B-cell Immunology (2 papers), Immune Response and Inflammation (2 papers), Renal and Vascular Pathologies (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Aging (33 citations), Biophysics (107 citations), Hematology (172 citations), Immunology (219 citations) and Genetics (59 citations). Anja Hasenberg has collaborated with scholars based in Germany, United States and Slovakia. Frequent co-authors include Matthias Gunzer, Hubert Schrezenmeier, Karin Scharffetter‐­Kochanek, Deidre Daria, Hartmut Geiger, Marie–Dominique Filippi, Maria Carolina Florian, Markus Rojewski, Yi Zheng and Linda Männ. Their work appears in journals such as Frontiers in Immunology, Molecular & Cellular Proteomics, Nature Communications, Cell Reports and Journal of the American Society of Nephrology.

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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