Julia Rechenberger

1.4k citations
6 papers · 584 indexed · 1 hit paper · h-index 4
Topics
Advanced Proteomics Techniques and Applications (3 papers)Pancreatic and Hepatic Oncology Research (1 paper)Advanced Biosensing Techniques and Applications (1 paper)

In The Last Decade

Julia Rechenberger

6 papers receiving 580 citations

Hit Papers

Prosit: proteome-wide prediction of peptide tandem mass s...20192026202120232019100200300400500

Peers

Julia Rechenberger
Comparison fields: 5 of 91
  • Molecular Biology 465
  • Spectroscopy 358
  • Oncology 41
  • Radiology, Nuclear Medicine and Imaging 27
  • Biomedical Engineering 22
Replace Matthew The with:
Matthew The Germany
Andreas Hühmer United States
Alexander Hogrebe United States
Pey Yee Lee Malaysia
Dain R. Brademan United States
Josh Eckels United States
Stephanie Kaspar‐Schoenefeld Germany
Ana Martínez‐Val Denmark
Tyler Greer United States
Annie Ha Canada
Julia Rechenberger relative to Matthew The Germany Matthew The's profile →
Citations per field
00.5×1.5×2.1×
Matthew The · 1×
Citations per year

Countries citing papers authored by Julia Rechenberger

Since Specialization
Citations

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

Fields of papers citing papers by Julia Rechenberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Rechenberger

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Rechenberger. A scholar is included among the top collaborators of Julia Rechenberger 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 Rechenberger. Julia Rechenberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 1
2 5
3 12
4 3
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Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learningbreakdown →
519
6 44

About Julia Rechenberger

Julia Rechenberger is a scholar working on Spectroscopy, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 6 papers that have together received 584 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Spectroscopy (358 citations), Molecular Biology (465 citations) and Biophysics (12 citations). Julia Rechenberger has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bernhard Küster, Patroklos Samaras, Mathias Wilhelm, Karsten Schnatbaum, Stephan Aiche, Andreas Hühmer, Tobias Schmidt, Siegfried Gessulat, Bernard Delanghe and Daniel P. Zolg. Their work appears in journals such as Journal of Clinical Oncology, Nature Methods and Journal of Medicinal Chemistry.

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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