Julia Rechenberger

1.4k total citations · 1 hit paper
6 papers, 584 citations indexed

About

Julia Rechenberger is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Julia Rechenberger has authored 6 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Spectroscopy and 1 paper in Organic Chemistry. Recurrent topics in Julia Rechenberger's work include Advanced Proteomics Techniques and Applications (3 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). Julia Rechenberger is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). Julia Rechenberger collaborates with scholars based in Germany, United States and United Kingdom. Julia Rechenberger's 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 and has published in prestigious journals such as Journal of Clinical Oncology, Nature Methods and Journal of Medicinal Chemistry.

In The Last Decade

Julia Rechenberger

6 papers receiving 580 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.

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

2019 519 citations Siegfried Gessulat, Tobias Schmidt et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Rechenberger Germany	4	465	358	41	27	22	6	584
Andreas Hühmer United States	4	563 1.2×	461 1.3×	42 1.0×	34 1.3×	24 1.1×	4	716
Matthew The Germany	14	522 1.1×	382 1.1×	37 0.9×	13 0.5×	33 1.5×	27	652
Josh Eckels United States	8	341 0.7×	204 0.6×	30 0.7×	23 0.9×	33 1.5×	9	504
Mathias Q. Müller Germany	11	416 0.9×	413 1.2×	30 0.7×	26 1.0×	18 0.8×	13	650
Tyler Greer United States	15	450 1.0×	430 1.2×	18 0.4×	52 1.9×	36 1.6×	23	652
Anna A. Lobas Russia	14	405 0.9×	340 0.9×	53 1.3×	27 1.0×	22 1.0×	36	541
Theodore R. Keppel United States	12	266 0.6×	162 0.5×	32 0.8×	41 1.5×	19 0.9×	15	383
Antoine Lesur Luxembourg	13	346 0.7×	297 0.8×	33 0.8×	47 1.7×	33 1.5×	25	564
Alexander Hogrebe United States	6	584 1.3×	455 1.3×	60 1.5×	15 0.6×	24 1.1×	10	747

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

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6 of 6 papers shown

1.

Rechenberger, Julia, Amirhossein Sakhteman, Maria‐Veronica Teleanu, et al.. (2024). Therapeutic implications of phosphoproteomics in molecular cancer diagnostics.. Journal of Clinical Oncology. 42(16_suppl). 3068–3068. 1 indexed citations

2.

Lee, Chien‐Yun, Matthew The, Chen Meng, et al.. (2023). Illuminating phenotypic drug responses of sarcoma cells to kinase inhibitors by phosphoproteomics. Molecular Systems Biology. 20(1). 28–55. 5 indexed citations

3.

Hanke, Thomas, Sebastian Mathea, Julia Rechenberger, et al.. (2022). Development and Characterization of Type I, Type II, and Type III LIM-Kinase Chemical Probes. Journal of Medicinal Chemistry. 65(19). 13264–13287. 12 indexed citations

4.

Rechenberger, Julia, Monika Fuchs, Norbert Mehlmer, et al.. (2020). Greener aromatic antioxidants for aviation and beyond. Sustainable Energy & Fuels. 4(5). 2153–2163. 3 indexed citations

5.

Gessulat, Siegfried, Tobias Schmidt, Daniel P. Zolg, et al.. (2019). Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning. Nature Methods. 16(6). 509–518. 519 indexed citations breakdown →

6.

Rechenberger, Julia, Patroklos Samaras, Anna Jarząb, et al.. (2019). Challenges in Clinical Metaproteomics Highlighted by the Analysis of Acute Leukemia Patients with Gut Colonization by Multidrug-Resistant Enterobacteriaceae. Proteomes. 7(1). 2–2. 44 indexed citations

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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