Melanie Schulz

509 total citations
8 papers, 384 citations indexed

About

Melanie Schulz is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, Melanie Schulz has authored 8 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Spectroscopy and 1 paper in Infectious Diseases. Recurrent topics in Melanie Schulz's work include Glycosylation and Glycoproteins Research (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Ubiquitin and proteasome pathways (2 papers). Melanie Schulz is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Ubiquitin and proteasome pathways (2 papers). Melanie Schulz collaborates with scholars based in Denmark, Germany and United States. Melanie Schulz's co-authors include Emre Özdemir, Anil Koul, Ping Lü, Jean‐Marc Neefs, Luc Vranckx, Hinrich W. H. Göhlmann, Martin R. Larsen, Neeraj Dhar, John D. McKinney and Dirk Bald and has published in prestigious journals such as Nature Communications, PLoS Computational Biology and Molecular & Cellular Proteomics.

In The Last Decade

Melanie Schulz

7 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melanie Schulz Denmark 5 276 150 99 87 46 8 384
S.E. Thomas United Kingdom 15 318 1.2× 211 1.4× 132 1.3× 19 0.2× 22 0.5× 24 514
Hosung Sohn South Korea 8 201 0.7× 106 0.7× 103 1.0× 19 0.2× 12 0.3× 14 348
S. Rempel Netherlands 7 186 0.7× 70 0.5× 27 0.3× 32 0.4× 23 0.5× 8 325
Sunil K. Verma United States 12 353 1.3× 76 0.5× 74 0.7× 11 0.1× 24 0.5× 18 481
Sz‐Wei Wu Taiwan 10 357 1.3× 47 0.3× 47 0.5× 145 1.7× 8 0.2× 14 430
Rachel Pricer United States 9 281 1.0× 72 0.5× 38 0.4× 8 0.1× 26 0.6× 10 371
S.M. Cutfield New Zealand 6 169 0.6× 100 0.7× 58 0.6× 15 0.2× 5 0.1× 6 358
M. Błaszczyk United Kingdom 11 258 0.9× 65 0.4× 32 0.3× 19 0.2× 7 0.2× 20 407
Kumar Nagarathinam Germany 6 167 0.6× 27 0.2× 28 0.3× 19 0.2× 48 1.0× 9 353

Countries citing papers authored by Melanie Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Melanie Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melanie Schulz

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

All Works

8 of 8 papers shown
1.
Rausch, Christian, Maja Rothenberg‐Thurley, Melanie Schulz, et al.. (2023). Modeling early treatment response in AML from cell-free tumor DNA. iScience. 26(12). 108271–108271. 4 indexed citations
2.
Kukhtevich, I. V., et al.. (2022). Altered expression response upon repeated gene repression in single yeast cells. PLoS Computational Biology. 18(10). e1010640–e1010640.
3.
Koul, Anil, Luc Vranckx, Neeraj Dhar, et al.. (2014). Delayed bactericidal response of Mycobacterium tuberculosis to bedaquiline involves remodelling of bacterial metabolism. Nature Communications. 5(1). 3369–3369. 206 indexed citations
4.
Kull, Skadi, Melanie Schulz, Jasmin Weisemann, et al.. (2014). 124. Isolation and functional characterization of the novel Clostridium botulinum A8 neurotoxin subtype. Toxicon. 93. S38–S38. 1 indexed citations
5.
Melo‐Braga, Marcella Nunes, Melanie Schulz, Qiuyue Liu, et al.. (2013). Comprehensive Quantitative Comparison of the Membrane Proteome, Phosphoproteome, and Sialiome of Human Embryonic and Neural Stem Cells. Molecular & Cellular Proteomics. 13(1). 311–328. 54 indexed citations
6.
Schulz, Melanie, Sebastian Brandner, Carola Eberhagen, et al.. (2013). Quantitative Phosphoproteomic Analysis of Early Alterations in Protein Phosphorylation by 2,3,7,8-Tetrachlorodibenzo-p-dioxin. Journal of Proteome Research. 12(2). 866–882. 5 indexed citations
7.
Palmisano, Giuseppe, Benjamin L. Parker, Kasper Engholm‐Keller, et al.. (2012). A Novel Method for the Simultaneous Enrichment, Identification, and Quantification of Phosphopeptides and Sialylated Glycopeptides Applied to a Temporal Profile of Mouse Brain Development. Molecular & Cellular Proteomics. 11(11). 1191–1202. 107 indexed citations
8.
Schulz, Melanie, et al.. (1985). Nicotine Production by Tissue Cultures of Tobacco as Influenced by Various Culture Parameters. Journal of Plant Physiology. 118(5). 463–470. 7 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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