Julia Hambach

843 total citations · 1 hit paper
13 papers, 611 citations indexed

About

Julia Hambach is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Julia Hambach has authored 13 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Julia Hambach's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (6 papers) and Peptidase Inhibition and Analysis (3 papers). Julia Hambach is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (6 papers) and Peptidase Inhibition and Analysis (3 papers). Julia Hambach collaborates with scholars based in Germany and Belgium. Julia Hambach's co-authors include Friedrich Koch‐Nolte, Peter Bannas, Friedrich Haag, Kristoffer Riecken, Gerhard Adam, Boris Fehse, Stephan Menzel, Nicolaus Kröger, Timon Hansen and Gunter Schuch and has published in prestigious journals such as Kidney International, Frontiers in Immunology and Biomedicine & Pharmacotherapy.

In The Last Decade

Julia Hambach

13 papers receiving 605 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nanobodies and Nanobody-Based Human Heavy Chain Antibodies As Antitumor Therapeutics

2017 413 citations Peter Bannas, Julia Hambach et al. Frontiers in Immunology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Julia Hambach Germany	8	345	281	221	199	57	13	611
Titus Kretzschmar Germany	15	456 1.3×	519 1.8×	302 1.4×	66 0.3×	33 0.6×	20	826
Jan‐Willem Arends Netherlands	8	523 1.5×	571 2.0×	146 0.7×	170 0.9×	34 0.6×	9	834
Hennie R. Hoogenboom Netherlands	10	413 1.2×	451 1.6×	154 0.7×	126 0.6×	24 0.4×	11	672
Dean O. Campbell United States	14	95 0.3×	334 1.2×	78 0.4×	172 0.9×	53 0.9×	19	610
Lena Shirinian United States	6	193 0.6×	237 0.8×	192 0.9×	65 0.3×	25 0.4×	7	465
Andreas Wagner Germany	12	121 0.4×	441 1.6×	216 1.0×	134 0.7×	20 0.4×	12	637
Sarah Wulhfard Switzerland	14	360 1.0×	534 1.9×	180 0.8×	291 1.5×	28 0.5×	18	792
Roland Stork Germany	6	319 0.9×	306 1.1×	108 0.5×	120 0.6×	20 0.4×	6	446
Saskia Meyer Netherlands	11	242 0.7×	169 0.6×	298 1.3×	99 0.5×	12 0.2×	16	454
Emanuele Sasso Italy	15	91 0.3×	232 0.8×	143 0.6×	172 0.9×	16 0.3×	34	519

Countries citing papers authored by Julia Hambach

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Julia Hambach

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Hambach. A scholar is included among the top collaborators of Julia Hambach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia Hambach. Julia Hambach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Menzel, Stephan, Yinghui Duan, Julia Hambach, et al.. (2024). Generation and characterization of antagonistic anti-human CD39 nanobodies. Frontiers in Immunology. 15. 1328306–1328306. 6 indexed citations

Seifert, Larissa, Kristoffer Riecken, Gunther Zahner, et al.. (2024). An antigen-specific chimeric autoantibody receptor (CAAR) NK cell strategy for the elimination of anti-PLA2R1 and anti-THSD7A antibody-secreting cells. Kidney International. 105(4). 886–889. 27 indexed citations

Hambach, Julia, et al.. (2022). Half-Life Extended Nanobody-Based CD38-Specific Bispecific Killercell Engagers Induce Killing of Multiple Myeloma Cells. Frontiers in Immunology. 13. 838406–838406. 17 indexed citations

Kuzikov, Maria, Andrea Zaliani, Julia Hambach, et al.. (2022). High-throughput drug screening allowed identification of entry inhibitors specifically targeting different routes of SARS-CoV-2 Delta and Omicron/BA.1. Biomedicine & Pharmacotherapy. 151. 113104–113104. 6 indexed citations

Hambach, Julia, Björn Rissiek, Katja Weisel, et al.. (2022). CD38-specific nanobodies allow in vivo imaging of multiple myeloma under daratumumab therapy. Frontiers in Immunology. 13. 1010270–1010270. 8 indexed citations

Hambach, Julia, et al.. (2022). Targeting multiple myeloma with nanobody-based heavy chain antibodies, bispecific killer cell engagers, chimeric antigen receptors, and nanobody-displaying AAV vectors. Frontiers in Immunology. 13. 1005800–1005800. 7 indexed citations

Brill, Florian H. H., et al.. (2021). Biofilm reduction potential of 0.02% polyhexanide irrigation solution in several types of urethral catheters. BMC Urology. 21(1). 58–58. 3 indexed citations

Menzel, Stephan, Julia Hambach, Ralf Fliegert, et al.. (2021). Mouse CD38-Specific Heavy Chain Antibodies Inhibit CD38 GDPR-Cyclase Activity and Mediate Cytotoxicity Against Tumor Cells. Frontiers in Immunology. 12. 703574–703574. 7 indexed citations

Hambach, Julia, Friedrich Haag, Eva Tolosa, et al.. (2021). A simple, sensitive, and low‐cost FACS assay for detecting antibodies against the native SARS‐CoV‐2 spike protein. Immunity Inflammation and Disease. 9(3). 905–917. 2 indexed citations

10.

Fliegert, Ralf, Andreas Bauche, Julia Hambach, et al.. (2020). Daratumumab and Nanobody-Based Heavy Chain Antibodies Inhibit the ADPR Cyclase but not the NAD+ Hydrolase Activity of CD38-Expressing Multiple Myeloma Cells. Cancers. 13(1). 76–76. 14 indexed citations

11.

Hambach, Julia, Kristoffer Riecken, Nicolaus Kröger, et al.. (2020). Targeting CD38-Expressing Multiple Myeloma and Burkitt Lymphoma Cells In Vitro with Nanobody-Based Chimeric Antigen Receptors (Nb-CARs). Cells. 9(2). 321–321. 59 indexed citations

12.

Hambach, Julia, Stephan Menzel, Friedrich Haag, et al.. (2018). CD38-Specific Biparatopic Heavy Chain Antibodies Display Potent Complement-Dependent Cytotoxicity Against Multiple Myeloma Cells. Frontiers in Immunology. 9. 2553–2553. 42 indexed citations

13.

Bannas, Peter, Julia Hambach, & Friedrich Koch‐Nolte. (2017). Nanobodies and Nanobody-Based Human Heavy Chain Antibodies As Antitumor Therapeutics. Frontiers in Immunology. 8. 1603–1603. 413 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact