H. Alexander Ebhardt

3.2k total citations
35 papers, 1.6k citations indexed

About

H. Alexander Ebhardt is a scholar working on Molecular Biology, Spectroscopy and Plant Science. According to data from OpenAlex, H. Alexander Ebhardt has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Spectroscopy and 5 papers in Plant Science. Recurrent topics in H. Alexander Ebhardt's work include Advanced Proteomics Techniques and Applications (12 papers), RNA modifications and cancer (9 papers) and Mass Spectrometry Techniques and Applications (8 papers). H. Alexander Ebhardt is often cited by papers focused on Advanced Proteomics Techniques and Applications (12 papers), RNA modifications and cancer (9 papers) and Mass Spectrometry Techniques and Applications (8 papers). H. Alexander Ebhardt collaborates with scholars based in Canada, Switzerland and Ireland. H. Alexander Ebhardt's co-authors include Patrick P. Dennis, Arina D. Omer, Peter J. Unrau, Ruedi Aebersold, Richard P. Fahlman, Anthony G. Russell, Todd M. Lowe, Sean R. Eddy, Chris Sander and Ryan D. Morin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

H. Alexander Ebhardt

34 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Alexander Ebhardt Canada 16 1.1k 407 327 188 85 35 1.6k
Claire Ramus France 13 892 0.8× 323 0.8× 127 0.4× 134 0.7× 49 0.6× 19 1.2k
Johana Chicher France 17 768 0.7× 282 0.7× 253 0.8× 41 0.2× 156 1.8× 34 1.1k
Anne-Marie Hesse France 16 710 0.6× 142 0.3× 83 0.3× 170 0.9× 60 0.7× 34 1.0k
Jörg Grigull Canada 17 1.4k 1.3× 115 0.3× 465 1.4× 67 0.4× 73 0.9× 24 1.7k
Pavel V. Shliaha Denmark 18 1.0k 0.9× 82 0.2× 63 0.2× 290 1.5× 105 1.2× 29 1.3k
Fiona Pachl Germany 15 814 0.7× 152 0.4× 42 0.1× 355 1.9× 37 0.4× 21 1.2k
Dhirendra Kumar India 18 730 0.6× 72 0.2× 82 0.3× 214 1.1× 183 2.2× 34 1.1k
Ursula Ryder Germany 15 2.0k 1.7× 89 0.2× 79 0.2× 170 0.9× 85 1.0× 17 2.1k
Poh Kuan Chong United Kingdom 12 560 0.5× 71 0.2× 53 0.2× 284 1.5× 48 0.6× 13 809
Ross Cocklin United States 14 800 0.7× 305 0.7× 48 0.1× 59 0.3× 88 1.0× 20 1.4k

Countries citing papers authored by H. Alexander Ebhardt

Since Specialization
Citations

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

Fields of papers citing papers by H. Alexander Ebhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Alexander Ebhardt. 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 H. Alexander Ebhardt. The network helps show where H. Alexander Ebhardt may publish in the future.

Co-authorship network of co-authors of H. Alexander Ebhardt

This figure shows the co-authorship network connecting the top 25 collaborators of H. Alexander Ebhardt. A scholar is included among the top collaborators of H. Alexander Ebhardt 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 H. Alexander Ebhardt. H. Alexander Ebhardt 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
1.
Galani, Aikaterini, et al.. (2024). Development of a RP-HPLC-UV method for polyamine quantification in an infant formula matrix. Journal of Food Composition and Analysis. 139. 107032–107032. 1 indexed citations
2.
Ebhardt, H. Alexander, et al.. (2022). Reduction of multiple reaction monitoring protein target list using correlation analysis. Journal of Dairy Science. 105(9). 7216–7229. 5 indexed citations
3.
Bringans, Scott, Tammy M. Casey, Sarah Thomas, et al.. (2020). A robust multiplex immunoaffinity mass spectrometry assay (PromarkerD) for clinical prediction of diabetic kidney disease. Clinical Proteomics. 17(1). 37–37. 6 indexed citations
4.
Bouchal, Pavel, Olga T. Schubert, Jakub Faktor, et al.. (2019). Breast Cancer Classification Based on Proteotypes Obtained by SWATH Mass Spectrometry. Cell Reports. 28(3). 832–843.e7. 66 indexed citations
5.
Grande, Rosalia, Melania Dovizio, Simone Marcone, et al.. (2019). Platelet-Derived Microparticles From Obese Individuals: Characterization of Number, Size, Proteomics, and Crosstalk With Cancer and Endothelial Cells. Frontiers in Pharmacology. 10. 7–7. 52 indexed citations
6.
Johnston, Dayle, et al.. (2018). Differences in the bovine milk whey proteome between early pregnancy and the estrous cycle. Theriogenology. 114. 301–307. 16 indexed citations
7.
Ebhardt, H. Alexander, et al.. (2018). Systems pharmacology using mass spectrometry identifies critical response nodes in prostate cancer. npj Systems Biology and Applications. 4(1). 26–26. 11 indexed citations
8.
Okada, Hirokazu, H. Alexander Ebhardt, Sibylle C. Vonesch, Ruedi Aebersold, & Ernst Hafen. (2016). Proteome-wide association studies identify biochemical modules associated with a wing-size phenotype in Drosophila melanogaster. Nature Communications. 7(1). 12649–12649. 37 indexed citations
9.
Chaulk, Steven G., H. Alexander Ebhardt, & Richard P. Fahlman. (2015). Correlations of microRNA:microRNA expression patterns reveal insights into microRNA clusters and global microRNA expression patterns. Molecular BioSystems. 12(1). 110–119. 23 indexed citations
10.
Ebhardt, H. Alexander. (2015). Applying Arginylation for Bottom-Up Proteomics. Methods in molecular biology. 1337. 129–138. 2 indexed citations
11.
Kiel, Christina, H. Alexander Ebhardt, Julia V. Burnier, et al.. (2013). Quantification of ErbB Network Proteins in Three Cell Types Using Complementary Approaches Identifies Cell-General and Cell-Type-Specific Signaling Proteins. Journal of Proteome Research. 13(1). 300–313. 10 indexed citations
12.
Fung, Angela W.S., et al.. (2011). An Alternative Mechanism for the Catalysis of Peptide Bond Formation by L/F Transferase: Substrate Binding and Orientation. Journal of Molecular Biology. 409(4). 617–629. 10 indexed citations
13.
14.
Ebhardt, H. Alexander, et al.. (2009). Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications. Nucleic Acids Research. 37(8). 2461–2470. 172 indexed citations
15.
16.
Ebhardt, H. Alexander, Zhizhong Xu, Angela W.S. Fung, & Richard P. Fahlman. (2009). Quantification of the Post-Translational Addition of Amino Acids to Proteins by MALDI-TOF Mass Spectrometry. Analytical Chemistry. 81(5). 1937–1943. 10 indexed citations
17.
Morin, Ryan D., Gozde Aksay, Elena V. Dolgosheina, et al.. (2008). Comparative analysis of the small RNA transcriptomes of Pinus contorta and Oryza sativa. Genome Research. 18(4). 571–584. 270 indexed citations
18.
Ebhardt, H. Alexander, Hartwig Kosmehl, & D. Katenkamp. (2001). Akrales myxoinflammatorisches fibroblastisches Sarkom. Der Pathologe. 22(2). 157–161. 15 indexed citations
19.
Eidner, Thorsten, Peter Oelzner, H. Alexander Ebhardt, et al.. (2001). Clinical Manifestation of POEMS Syndrome with Features of Connective Tissue Disease. Clinical Rheumatology. 20(1). 70–72. 2 indexed citations
20.
Ebhardt, H. Alexander, Thorsten Eidner, Angela Berndt, D. Katenkamp, & Hartwig Kosmehl. (2000). Das POEMS-Syndrom - Ein Fallbericht. Der Pathologe. 21(3). 255–259. 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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