Florian Weiland

904 total citations
30 papers, 690 citations indexed

About

Florian Weiland is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Florian Weiland has authored 30 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Spectroscopy and 4 papers in Oncology. Recurrent topics in Florian Weiland's work include Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Florian Weiland is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Florian Weiland collaborates with scholars based in Australia, Belgium and United Kingdom. Florian Weiland's co-authors include Peter Hoffmann, Angelika Görg, Walter Weiss, Martin K. Oehler, Carsten Lück, Oliver Drews, Georgia Arentz, Bernhard T. Baune, Klaus Oliver Schubert and Manuela Klingler‐Hoffmann and has published in prestigious journals such as The EMBO Journal, Scientific Reports and Chemosphere.

In The Last Decade

Florian Weiland

28 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Weiland Australia 14 375 166 80 60 59 30 690
Sameh Magdeldin Egypt 18 702 1.9× 277 1.7× 82 1.0× 72 1.2× 56 0.9× 79 1.3k
Poh Kuan Chong United Kingdom 12 560 1.5× 284 1.7× 48 0.6× 26 0.4× 43 0.7× 13 809
Zhong Feng China 11 294 0.8× 89 0.5× 47 0.6× 59 1.0× 48 0.8× 46 569
Jean‐François Juranville Switzerland 17 546 1.5× 311 1.9× 54 0.7× 42 0.7× 54 0.9× 22 848
Valeria Righi Italy 18 597 1.6× 100 0.6× 64 0.8× 39 0.7× 37 0.6× 47 1.1k
Parul Mittal Australia 19 462 1.2× 191 1.2× 50 0.6× 21 0.3× 37 0.6× 49 865
Katrin Bäsell Germany 10 452 1.2× 91 0.5× 105 1.3× 25 0.4× 21 0.4× 10 813
Evelyne Maes New Zealand 17 366 1.0× 239 1.4× 28 0.3× 98 1.6× 32 0.5× 46 655
Johannes Hartl United Kingdom 15 504 1.3× 121 0.7× 62 0.8× 28 0.5× 29 0.5× 26 713
Sofia Guedes Portugal 17 390 1.0× 110 0.7× 48 0.6× 34 0.6× 37 0.6× 31 818

Countries citing papers authored by Florian Weiland

Since Specialization
Citations

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

Fields of papers citing papers by Florian Weiland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Weiland

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

All Works

20 of 20 papers shown
2.
Philips, Charlot, et al.. (2025). Addressing hurdles in cultured meat by exploring reduced myogenesis after bovine myoblast expansion. Communications Biology. 8(1). 1851–1851.
3.
Weiland, Florian, Sylvie M. Noordermeer, Thomas Carroll, et al.. (2024). Chemo-Phosphoproteomic Profiling with ATR Inhibitors Berzosertib and Gartisertib Uncovers New Biomarkers and DNA Damage Response Regulators. Molecular & Cellular Proteomics. 23(8). 100802–100802. 2 indexed citations
4.
Weiland, Florian, et al.. (2023). Liquid storage stability of the Class II hydrophobin HFBI: Effect of pH on functional properties. Process Biochemistry. 130. 455–463. 1 indexed citations
5.
6.
Muñoz, Iván, Florian Weiland, Thomas Carroll, et al.. (2021). CDKL5 kinase controls transcription‐coupled responses to DNA damage. The EMBO Journal. 40(23). e108271–e108271. 21 indexed citations
7.
Weiland, Florian, Noor A. Lokman, Manuela Klingler‐Hoffmann, et al.. (2020). Ovarian Blood Sampling Identifies Junction Plakoglobin as a Novel Biomarker of Early Ovarian Cancer. Frontiers in Oncology. 10. 1767–1767. 10 indexed citations
8.
Weiland, Florian, et al.. (2020). Differential proteome analysis of the leaves of lead hyperaccumulator, Rhoeo discolor (L. Her.) Hance. Journal of Mass Spectrometry. 56(4). e4689–e4689. 5 indexed citations
9.
Muñoz, Iván, Michael Morgan, Julien Peltier, et al.. (2018). Phosphoproteomic screening identifies physiological substrates of the CDKL 5 kinase. The EMBO Journal. 37(24). 53 indexed citations
10.
Weiland, Florian, et al.. (2017). Proteomic comparisons of opaque and transparent variants of Streptococcus pneumoniae by two dimensional-differential gel electrophoresis. Scientific Reports. 7(1). 2453–2453. 2 indexed citations
11.
Turvey, Michelle E., et al.. (2016). Identification of beer spoilage microorganisms using the MALDI Biotyper platform. Applied Microbiology and Biotechnology. 100(6). 2761–2773. 26 indexed citations
12.
Zammit, Carla M., Florian Weiland, Joël Brugger, et al.. (2016). Proteomic responses to gold(iii)-toxicity in the bacterium Cupriavidus metallidurans CH34. Metallomics. 8(11). 1204–1216. 30 indexed citations
13.
Schubert, Klaus Oliver, Florian Weiland, Bernhard T. Baune, & Peter Hoffmann. (2016). The use of MALDI‐MSI in the investigation of psychiatric and neurodegenerative disorders: A review. PROTEOMICS. 16(11-12). 1747–1758. 41 indexed citations
14.
Weiland, Florian, Georgia Arentz, Manuela Klingler‐Hoffmann, et al.. (2016). Novel IEF Peptide Fractionation Method Reveals a Detailed Profile of N-Terminal Acetylation in Chemotherapy-Responsive and -Resistant Ovarian Cancer Cells. Journal of Proteome Research. 15(11). 4073–4081. 8 indexed citations
15.
Humphries, Julia, Megan A. S. Penno, Florian Weiland, et al.. (2014). Identification and validation of novel candidate protein biomarkers for the detection of human gastric cancer. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1844(5). 1051–1058. 52 indexed citations
16.
Weiland, Florian, Karina Martin, Martin K. Oehler, & Peter Hoffmann. (2012). Deciphering the Molecular Nature of Ovarian Cancer Biomarker CA125. International Journal of Molecular Sciences. 13(8). 10568–10582. 30 indexed citations
17.
Görg, Angelika, Oliver Drews, Carsten Lück, Florian Weiland, & Walter Weiss. (2009). 2‐DE with IPGs. Electrophoresis. 30(S1). S122–32. 152 indexed citations
18.
Serra, Diego O., Genia Lücking, Florian Weiland, et al.. (2008). Proteome approaches combined with Fourier transform infrared spectroscopy revealed a distinctive biofilm physiology in Bordetella pertussis. PROTEOMICS. 8(23-24). 4995–5010. 36 indexed citations
19.
Weiland, Florian, et al.. (2007). A proteome analysis of Corynebacterium glutamicum after exposure to the herbicide 2,4-dichlorophenoxy acetic acid (2,4-D). Chemosphere. 69(1). 25–31. 20 indexed citations
20.
Weiland, Florian, Günther M. Keil, Matthias J. Reddehase, et al.. (1986). Subject Index, Vol. 26, 1986. Intervirology. 26(4). 235–236. 2 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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