Katja Hanack

424 citations
28 papers · 246 · h-index 8

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 8
    • Protein purification and stability 7
    • Advanced biosensing and bioanalysis techniques 3
    • vaccines and immunoinformatics approaches 3
    • Monoclonal and Polyclonal Antibodies Research 17

Katja Hanack

25 papers receiving 246 citations

Peers

Katja Hanack
Comparison fields: 5 of 69
  • Radiology, Nuclear Medicine and Imaging 97
  • Immunology 49
  • Hematology 21
  • Infectious Diseases 32
  • Rheumatology 26
Replace Qinyu Zhu with:
Qinyu Zhu China
Christy A. Thomson Canada
Supansa Pata Thailand
Udaya S. Rangaswamy United States
Mark E. Astill United States
Richard Buick United Kingdom
Jimmy Mancip France
S L Giardina United States
Martino Böhne Netherlands
Markus Bardua Germany
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Katja Hanack

Since Specialization
Citations

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

Fields of papers citing papers by Katja Hanack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201731
3 201629
4 201625
5 202018
6 202113
7 202213
8 202413
9 20166
10 20166
11 20185
12 20245
13 20235
14 20214
15 20184
16 20224
17 20213
18 20193
19 20222
20 20162

About Katja Hanack

Katja Hanack is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Infectious Diseases and Cancer Research, having authored 28 papers that have together received 246 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (17 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Protein purification and stability (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Immunotherapy and Immune Responses (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), vaccines and immunoinformatics approaches (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (97 citations), Immunology (49 citations), Hematology (21 citations), Infectious Diseases (32 citations) and Rheumatology (26 citations). Katja Hanack has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Katrin Messerschmidt, Manfred Gossen, Peter Schierack, Dirk Roggenbuck, Torsten Linker, Burkhard Micheel, Werner Fudickar, Paolo Macor, María Orietta Borghi and C. Grossi. Their work appears in journals such as Journal of Visualized Experiments, Journal of Immunological Methods, Biotechnology Reports, Scientific Reports and Biomedical Materials.

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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