Martina O’Flaherty

1.2k total citations · 1 hit paper
17 papers, 933 citations indexed

About

Martina O’Flaherty is a scholar working on Molecular Biology, Spectroscopy and Surgery. According to data from OpenAlex, Martina O’Flaherty has authored 17 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Spectroscopy and 3 papers in Surgery. Recurrent topics in Martina O’Flaherty's work include Biochemical and Molecular Research (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Martina O’Flaherty is often cited by papers focused on Biochemical and Molecular Research (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Martina O’Flaherty collaborates with scholars based in Netherlands, Ireland and Germany. Martina O’Flaherty's co-authors include Albert J. R. Heck, Shabaz Mohammed, Monique Slijper, Joris J. Benschop, Frank L.H. Menke, Patricia Mulcahy, Mary McMahon, Jeffrey H. Ringrose, Wouter W. van Solinge and Richard van Wijk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Molecular & Cellular Proteomics.

In The Last Decade

Martina O’Flaherty

17 papers receiving 924 citations

Hit Papers

Quantitative Phosphoproteomics of Early Elicitor Signalin... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martina O’Flaherty Netherlands 11 600 390 192 73 52 17 933
Omid Hekmat Canada 13 540 0.9× 112 0.3× 65 0.3× 70 1.0× 13 0.3× 17 709
C S Teng United States 14 683 1.1× 139 0.4× 44 0.2× 42 0.6× 22 0.4× 34 1.0k
Stephen C. Conroy United States 8 780 1.3× 88 0.2× 42 0.2× 78 1.1× 37 0.7× 9 906
Josephine Grass Austria 21 1000 1.7× 290 0.7× 91 0.5× 133 1.8× 26 0.5× 25 1.3k
Gal Masrati Israel 9 445 0.7× 212 0.5× 20 0.1× 73 1.0× 18 0.3× 18 694
Giada Marino Germany 18 538 0.9× 219 0.6× 114 0.6× 76 1.0× 21 0.4× 33 856
Johann Weser Germany 11 434 0.7× 80 0.2× 219 1.1× 50 0.7× 39 0.8× 11 698
A.J. MacGillivray United Kingdom 14 792 1.3× 60 0.2× 90 0.5× 58 0.8× 19 0.4× 40 974
Roger A. O’Neill United States 12 535 0.9× 176 0.5× 144 0.8× 63 0.9× 7 0.1× 16 816
F. Foury Belgium 19 1.5k 2.5× 162 0.4× 21 0.1× 80 1.1× 50 1.0× 27 1.6k

Countries citing papers authored by Martina O’Flaherty

Since Specialization
Citations

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

Fields of papers citing papers by Martina O’Flaherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martina O’Flaherty. 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 Martina O’Flaherty. The network helps show where Martina O’Flaherty may publish in the future.

Co-authorship network of co-authors of Martina O’Flaherty

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

All Works

17 of 17 papers shown
1.
Mundt, Filip, Nicolai J. Wewer Albrechtsen, Sebastian Porsdam Mann, et al.. (2023). Foresight in clinical proteomics: current status, ethical considerations, and future perspectives. SHILAP Revista de lepidopterología. 3. 59–59. 2 indexed citations
2.
Noort, Vera van, Jan Seebacher, Samuel L. Bader, et al.. (2012). Cross‐talk between phosphorylation and lysine acetylation in a genome‐reduced bacterium. Molecular Systems Biology. 8(1). 571–571. 148 indexed citations
3.
O’Flaherty, Martina, et al.. (2009). A chemical proteomics based enrichment technique targeting the interactome of the PDE5 inhibitorPF-4540124. Molecular BioSystems. 5(5). 472–482. 23 indexed citations
4.
Schaaij‐Visser, Tieneke B.M., Ruud H. Brakenhoff, Jeroen W. A. Jansen, et al.. (2009). Comparative proteome analysis to explore p53 pathway disruption in head and neck carcinogenesis. Journal of Proteomics. 72(5). 803–814. 10 indexed citations
5.
Gestel, Renske A. van, Silvia Šurinová, Martina O’Flaherty, et al.. (2009). The influence of the acyl chain composition of cardiolipin on the stability of mitochondrial complexes; An unexpected effect of cardiolipin in α-ketoglutarate dehydrogenase and prohibitin complexes. Journal of Proteomics. 73(4). 806–814. 24 indexed citations
6.
Tsaytler, Pavel, et al.. (2008). Immediate Protein Targets of Photodynamic Treatment in Carcinoma Cells. Journal of Proteome Research. 7(9). 3868–3878. 36 indexed citations
7.
Ringrose, Jeffrey H., Wouter W. van Solinge, Shabaz Mohammed, et al.. (2008). Highly Efficient Depletion Strategy for the Two Most Abundant Erythrocyte Soluble Proteins Improves Proteome Coverage Dramatically. Journal of Proteome Research. 7(7). 3060–3063. 65 indexed citations
8.
Gubbens, Jacob, Pieter Vader, J Damen, et al.. (2007). Probing the Membrane Interface-Interacting Proteome Using Photoactivatable Lipid Cross-Linkers. Journal of Proteome Research. 6(5). 1951–1962. 16 indexed citations
9.
Benschop, Joris J., Shabaz Mohammed, Martina O’Flaherty, et al.. (2007). Quantitative Phosphoproteomics of Early Elicitor Signaling in Arabidopsis. Molecular & Cellular Proteomics. 6(7). 1198–1214. 535 indexed citations breakdown →
10.
Mulcahy, Patricia, et al.. (2002). Application of kinetic-based biospecific affinity chromatographic systems to ATP-dependent enzymes: studies with yeast hexokinase. Analytical Biochemistry. 309(2). 279–292. 7 indexed citations
11.
Mulcahy, Patricia & Martina O’Flaherty. (2001). Kinetic Locking-On Strategy and Auxiliary Tactics for Bioaffinity Purification of NAD(P)+-Dependent Dehydrogenases. Analytical Biochemistry. 299(1). 1–18. 5 indexed citations
12.
Mulcahy, Patricia, et al.. (1999). Effect of Accessible Immobilized NAD+ Concentration on the Bioaffinity Chromatographic Behavior of NAD+-Dependent Dehydrogenases Using the Kinetic Locking-on Strategy. Protein Expression and Purification. 16(2). 261–275. 11 indexed citations
13.
O’Flaherty, Martina, Mary McMahon, & Patricia Mulcahy. (1999). A Kinetic Locking-On Strategy for Bioaffinity Purification: Further Studies with Alcohol Dehydrogenase. Protein Expression and Purification. 15(1). 127–145. 16 indexed citations
15.
O’Flaherty, Martina, Pádraig O'Carra, Mary McMahon, & Patricia Mulcahy. (1999). A “Stripping” Ligand Tactic for Use with the Kinetic Locking-on Strategy: Its Use in the Resolution and Bioaffinity Chromatographic Purification of NAD+-Dependent Dehydrogenases. Protein Expression and Purification. 16(3). 424–431. 8 indexed citations
16.
O’Flaherty, Martina, et al.. (1999). The Kinetic Locking-on Strategy for Bioaffinity Purification: Further Studies with Bovine Liver Glutamate Dehydrogenase. Protein Expression and Purification. 16(2). 276–297. 10 indexed citations
17.
O'Carra, Pádraig, et al.. (1996). Further studies on the bioaffinity chromatography of NAD+-dependent dehydrogenases using the locking-on effect. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1297(2). 235–243. 12 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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