Daniel M. Waldera-Lupa

437 total citations
14 papers, 301 citations indexed

About

Daniel M. Waldera-Lupa is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Daniel M. Waldera-Lupa has authored 14 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Genetics. Recurrent topics in Daniel M. Waldera-Lupa's work include Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Daniel M. Waldera-Lupa is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Daniel M. Waldera-Lupa collaborates with scholars based in Germany, United States and Austria. Daniel M. Waldera-Lupa's co-authors include Kai Stühler, Gereon Poschmann, Markus Kollmann, Linlin Zhao, Anja Stefanski, Helmut E. Meyer, Helmut E. Meyer, Jessica Schira‐Heinen, Christoph Zilkens and Stefanie Geyh and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and Molecular & Cellular Proteomics.

In The Last Decade

Daniel M. Waldera-Lupa

13 papers receiving 301 citations

Peers

Daniel M. Waldera-Lupa

GENET

SPECT

PHYSI

Sandra Münch Germany

Laëtitia Guével France

Harunobu Kagawa Austria

Darwin J. Prockop United States

Yanchao Huang China

Eva Matoušková Czechia

Lijuan Feng United States

Giulia Annovi Italy

Karim Azzag United States

Sandra Münch Germany

Daniel M. Waldera-Lupa

196 ×1.2

20 ×0.5

GENET

6 ×0.2

SPECT

45 ×1.4

28 ×0.8

PHYSI

Citations per year, relative to Daniel M. Waldera-Lupa Daniel M. Waldera-Lupa (= 1×) peers Sandra Münch

Countries citing papers authored by Daniel M. Waldera-Lupa

Since Specialization

Citations

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

Fields of papers citing papers by Daniel M. Waldera-Lupa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Waldera-Lupa. 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 Daniel M. Waldera-Lupa. The network helps show where Daniel M. Waldera-Lupa may publish in the future.

Co-authorship network of co-authors of Daniel M. Waldera-Lupa

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

All Works

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14 of 14 papers shown

Poschmann, Gereon, Daniel M. Waldera-Lupa, Wolfgang R. Streit, et al.. (2023). Pseudomonas aeruginosa responds to altered membrane phospholipid composition by adjusting the production of two-component systems, proteases and iron uptake proteins. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1868(6). 159317–159317. 5 indexed citations

Poschmann, Gereon, Daniel M. Waldera-Lupa, Wolfgang R. Streit, et al.. (2022). Pseudomonas Aeruginosa Responds to Altered Membrane Phospholipid Composition by Adjusting the Production of Two-Component Systems, Proteases and Iron Uptake Proteins. SSRN Electronic Journal.

Waldera-Lupa, Daniel M., et al.. (2021). Host cell protein detection gap risk mitigation: quantitative IAC-MS for ELISA antibody reagent coverage determination. mAbs. 13(1). 1955432–1955432. 11 indexed citations

Waldera-Lupa, Daniel M., Gereon Poschmann, Sabine Seidel, et al.. (2020). A Multiplex Assay for the Stratification of Patients with Primary Central Nervous System Lymphoma Using Targeted Mass Spectrometry. Cancers. 12(7). 1732–1732. 6 indexed citations

Geyh, Stefanie, Daniel M. Waldera-Lupa, Anja Stefanski, et al.. (2019). Secretome analysis of human bone marrow derived mesenchymal stromal cells. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1867(4). 434–441. 39 indexed citations

Waldera-Lupa, Daniel M., Martin Vanderlaan, Thomas Schwab, et al.. (2019). Mass spectrometric evaluation of upstream and downstream process influences on host cell protein patterns in biopharmaceutical products. Biotechnology Progress. 35(3). e2788–e2788. 19 indexed citations

Schira‐Heinen, Jessica, et al.. (2019). Pitfalls and opportunities in the characterization of unconventionally secreted proteins by secretome analysis. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1867(12). 140237–140237. 15 indexed citations

Zhao, Linlin, et al.. (2019). OutCyte: a novel tool for predicting unconventional protein secretion. Scientific Reports. 9(1). 19448–19448. 56 indexed citations

Waldera-Lupa, Daniel M., Sabine Seidel, Thomas E. Kowalski, et al.. (2017). Proteomic changes in cerebrospinal fluid from primary central nervous system lymphoma patients are associated with protein ectodomain shedding. Oncotarget. 8(66). 110118–110132. 8 indexed citations

10.

Schira‐Heinen, Jessica, Daniel M. Waldera-Lupa, Gesine Kögler, et al.. (2015). Characterization of Regenerative Phenotype of Unrestricted Somatic Stem Cells (USSC) from Human Umbilical Cord Blood (hUCB) by Functional Secretome Analysis. Molecular & Cellular Proteomics. 14(10). 2630–2643. 31 indexed citations

11.

Weise, Sean E., Thomas D. Sharkey, Daniel M. Waldera-Lupa, et al.. (2014). Evolution of the Phosphoenolpyruvate Carboxylase Protein Kinase Family in C3 and C4 Flaveria spp. . PLANT PHYSIOLOGY. 165(3). 1076–1091. 20 indexed citations

12.

Waldera-Lupa, Daniel M., Faiza Kalfalah, Ana‐Maria Florea, et al.. (2014). Proteome-wide analysis reveals an age-associated cellular phenotype of in situ aged human fibroblasts. Aging. 6(10). 856–872. 62 indexed citations

13.

Waldera-Lupa, Daniel M., Anja Stefanski, Helmut E. Meyer, & Kai Stühler. (2013). The fate of b-ions in the two worlds of collision-induced dissociation. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(12). 2843–2848. 13 indexed citations

14.

Sitek, Barbara, Daniel M. Waldera-Lupa, Gereon Poschmann, Helmut E. Meyer, & Kai Stühler. (2012). Application of Label-Free Proteomics for Differential Analysis of Lung Carcinoma Cell Line A549. Methods in molecular biology. 893. 241–248. 16 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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