Julia Hambach
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Radiopharmaceutical Chemistry and Applications
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
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- Monoclonal and Polyclonal Antibodies Research 10
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- Multiple Myeloma Research and Treatments 4
- Co-authors
- Friedrich Koch‐Nolte (12 shared papers)Peter Bannas (9 shared papers)Friedrich Haag (6 shared papers)Boris Fehse (3 shared papers)Kristoffer Riecken (3 shared papers)Gerhard Adam (4 shared papers)Stephan Menzel (5 shared papers)Nicola M. Tomas (1 shared paper)
- Journals
- Frontiers in Immunology (7 papers)Nature Communications (1 paper)Theranostics (1 paper)Cells (1 paper)BMC Urology (1 paper)
- Partner nations
- GermanyNetherlands
In The Last Decade
Julia Hambach
15 papers receiving 709 citations
Julia Hambach's Hit Papers
Peers
Comparison fields: 5 of 56
- Radiology, Nuclear Medicine and Imaging 368
- Physiology 31
- Oncology 108
- Immunology 78
- Hematology 40
Countries citing papers authored by Julia Hambach
This map shows the geographic impact of Julia Hambach'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 Hambach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Hambach more than expected).
Fields of papers citing papers by Julia Hambach
This network shows the impact of papers produced by Julia Hambach. 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 Hambach. The network helps show where Julia Hambach may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Hambach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Nanobodies and Nanobody-Based Human Heavy Chain Antibodies As Antitumor Therapeutics Hit paper breakdown → | 2017 | 463 |
| 2 | 2020 | 61 | |
| 3 | 2018 | 47 | |
| 4 | 2024 | 40 | |
| 5 | 2020 | 21 | |
| 6 | 2022 | 20 | |
| 7 | 2020 | 15 | |
| 8 | 2024 | 13 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2025 | 0 |
About Julia Hambach
Julia Hambach is a scholar working on Radiology, Nuclear Medicine and Imaging, Hematology, Infectious Diseases, Physiology and Nephrology, having authored 16 papers that have together received 728 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Multiple Myeloma Research and Treatments (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Urinary Tract Infections Management (1 paper), Renal Diseases and Glomerulopathies (1 paper), Adenosine and Purinergic Signaling (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (368 citations), Physiology (31 citations), Oncology (108 citations), Immunology (78 citations) and Hematology (40 citations). Julia Hambach has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Friedrich Koch‐Nolte, Peter Bannas, Friedrich Haag, Boris Fehse, Kristoffer Riecken, Gerhard Adam, Stephan Menzel, Nicola M. Tomas, Gunther Zahner and Timon Hansen. Their work appears in journals such as Frontiers in Immunology, Nature Communications, Theranostics, Cells and BMC Urology.
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.