Julia Hambach

843 citations
13 papers · 611 indexed · 1 hit paper · h-index 8

Julia Hambach

13 papers receiving 605 citations

Hit Papers

Nanobodies and Nanobody-Based Human Heavy Chain Antibodie...4132017202620202023100200300400

Peers

Julia Hambach
Comparison fields: 5 of 67
  • Radiology, Nuclear Medicine and Imaging 345
  • Immunology 221
  • Physiology 41
  • Oncology 199
  • Molecular Biology 281
Replace Saskia Meyer with:
Saskia Meyer Netherlands
Titus Kretzschmar Germany
Lena Shirinian United States
Roland Stork Germany
Jan‐Willem Arends Netherlands
Andreas Wagner Germany
Taichi Kuramochi United States
Hennie R. Hoogenboom Netherlands
Sarah Wulhfard Switzerland
L J Hefta United States
Julia Hambach relative to Saskia Meyer Netherlands Saskia Meyer's profile →
Citations per field
00.5×5.9×
Saskia Meyer · 1×
Citations per year

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

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.

Border = papers with Julia Hambach Line = papers co-authored together Julia Hambach links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20246
2 202427
3 202217
4 20228
5 20226
6 20227
7 20217
8 20213
9 20212
10 202014
11 202059
12 201842
13
Nanobodies and Nanobody-Based Human Heavy Chain Antibodies As Antitumor Therapeuticsbreakdown →
2017413

About Julia Hambach

Julia Hambach is a scholar working on Physiology, Hematology, Radiology, Nuclear Medicine and Imaging, Immunology and Urology, having authored 13 papers that have together received 611 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (6 papers), Peptidase Inhibition and Analysis (3 papers), Multiple Myeloma Research and Treatments (3 papers), Adenosine and Purinergic Signaling (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (345 citations), Immunology (221 citations), Physiology (41 citations), Oncology (199 citations) and Molecular Biology (281 citations). Julia Hambach has collaborated with scholars based in Germany and Belgium. Frequent co-authors include Friedrich Koch‐Nolte, Peter Bannas, Friedrich Haag, Gerhard Adam, Boris Fehse, Kristoffer Riecken, Stephan Menzel, Timon Hansen, Gunter Schuch and Nicolaus Kröger. Their work appears in journals such as Frontiers in Immunology, Cancers, BMC Urology, Cells and Biomedicine & Pharmacotherapy.

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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