David V. Tulumello

1.1k total citations
16 papers, 815 citations indexed

About

David V. Tulumello is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David V. Tulumello has authored 16 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David V. Tulumello's work include Lipid Membrane Structure and Behavior (6 papers), RNA and protein synthesis mechanisms (4 papers) and Protein Structure and Dynamics (2 papers). David V. Tulumello is often cited by papers focused on Lipid Membrane Structure and Behavior (6 papers), RNA and protein synthesis mechanisms (4 papers) and Protein Structure and Dynamics (2 papers). David V. Tulumello collaborates with scholars based in Canada, United States and France. David V. Tulumello's co-authors include Charles M. Deber, Shana O. Kelley, Sae Rin Jean, Guillaume Molinard, Aurélien Roux, Stefan Matile, Naomi Sakai, Giulio Gasparini, Sandra Ward and Eun‐Kyoung Bang and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry B and Biochemistry.

In The Last Decade

David V. Tulumello

16 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David V. Tulumello Canada 11 467 142 124 110 104 16 815
Shashank Pant United States 16 453 1.0× 126 0.9× 110 0.9× 73 0.7× 72 0.7× 30 753
Søren Roi Midtgaard Denmark 17 470 1.0× 83 0.6× 118 1.0× 81 0.7× 77 0.7× 25 721
Jennifer A. Whiles United States 10 611 1.3× 138 1.0× 99 0.8× 99 0.9× 152 1.5× 11 883
Christoph Allolio Germany 19 448 1.0× 209 1.5× 145 1.2× 103 0.9× 62 0.6× 39 987
Martin A. Case United States 20 657 1.4× 190 1.3× 126 1.0× 45 0.4× 117 1.1× 35 911
Jonas M. Dörr Netherlands 9 756 1.6× 107 0.8× 57 0.5× 153 1.4× 117 1.1× 11 918
Markus J. Weygand Denmark 17 489 1.0× 173 1.2× 119 1.0× 103 0.9× 116 1.1× 21 765
Diana C. F. Monteiro Germany 15 328 0.7× 89 0.6× 275 2.2× 117 1.1× 57 0.5× 23 718
Giorgia Brancolini Italy 17 390 0.8× 97 0.7× 332 2.7× 124 1.1× 195 1.9× 44 840
Xi Lin China 22 500 1.1× 99 0.7× 239 1.9× 263 2.4× 113 1.1× 66 1.4k

Countries citing papers authored by David V. Tulumello

Since Specialization
Citations

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

Fields of papers citing papers by David V. Tulumello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David V. Tulumello. 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 David V. Tulumello. The network helps show where David V. Tulumello may publish in the future.

Co-authorship network of co-authors of David V. Tulumello

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

All Works

16 of 16 papers shown
1.
Newman, E.M., et al.. (2021). Quantitative microcapillary electrophoresis immunoassay (mCE IA) for end-to-end analysis of pertactin within in-process samples and Quadracel® vaccine. Journal of Pharmaceutical and Biomedical Analysis. 204. 114284–114284. 2 indexed citations
2.
Choy, Christopher H., Liwei He, David V. Tulumello, et al.. (2021). Aggregation and Size Attributes Analysis of Unadsorbed and Adjuvant-adsorbed Antigens using a Multispectral Imaging Flow Cytometer Platform. Journal of Pharmaceutical Sciences. 111(3). 672–679. 1 indexed citations
3.
Huang, Shar-yin N., Ilaria Dalla Rosa, David V. Tulumello, et al.. (2018). Mitochondrial tyrosyl‐ DNA phosphodiesterase 2 and its TDP 2 S short isoform. EMBO Reports. 19(3). 19 indexed citations
4.
Jean, Sae Rin, et al.. (2015). Mitochondrial Targeting of Doxorubicin Eliminates Nuclear Effects Associated with Cardiotoxicity. ACS Chemical Biology. 10(9). 2007–2015. 63 indexed citations
5.
Gasparini, Giulio, Eun‐Kyoung Bang, Guillaume Molinard, et al.. (2014). Cellular Uptake of Substrate-Initiated Cell-Penetrating Poly(disulfide)s. Journal of the American Chemical Society. 136(16). 6069–6074. 242 indexed citations
6.
Jean, Sae Rin, David V. Tulumello, Simon Wisnovsky, et al.. (2014). Molecular Vehicles for Mitochondrial Chemical Biology and Drug Delivery. ACS Chemical Biology. 9(2). 323–333. 116 indexed citations
7.
Tulumello, David V., et al.. (2012). Design, expression, and purification of de novo transmembrane “hairpin” peptides. Biopolymers. 98(6). 546–556. 2 indexed citations
8.
Tulumello, David V. & Charles M. Deber. (2012). Efficiency of detergents at maintaining membrane protein structures in their biologically relevant forms. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(5). 1351–1358. 51 indexed citations
9.
Tulumello, David V., et al.. (2012). Effects of a polar amino acid substitution on helix formation and aggregate size along the detergent-induced peptide folding pathway. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1828(2). 373–381. 9 indexed citations
10.
Tulumello, David V. & Charles M. Deber. (2011). Positions of Polar Amino Acids Alter Interactions between Transmembrane Segments and Detergents. Biochemistry. 50(19). 3928–3935. 18 indexed citations
11.
Rath, Arianna, David V. Tulumello, & Charles M. Deber. (2009). Peptide Models of Membrane Protein Folding. Biochemistry. 48(14). 3036–3045. 40 indexed citations
12.
Tulumello, David V. & Charles M. Deber. (2009). SDS Micelles as a Membrane-Mimetic Environment for Transmembrane Segments. Biochemistry. 48(51). 12096–12103. 103 indexed citations
13.
Tulumello, David V., Glyn Cooper, Adam P. Hitchcock, et al.. (2005). Inner-Shell Excitation Spectroscopy and X-ray Photoemission Electron Microscopy of Adhesion Promoters. The Journal of Physical Chemistry B. 109(13). 6343–6354. 7 indexed citations
14.
Wang, Jian, Glyn Cooper, David V. Tulumello, & Adam P. Hitchcock. (2005). Inner Shell Excitation Spectroscopy of Biphenyl and Substituted Biphenyls:  Probing Ring−Ring Delocalization. The Journal of Physical Chemistry A. 109(48). 10886–10896. 35 indexed citations
15.
Cooper, Glyn, Michelle Gordon, David V. Tulumello, et al.. (2004). Inner shell excitation of glycine, glycyl-glycine, alanine and phenylalanine. Journal of Electron Spectroscopy and Related Phenomena. 137-140. 795–799. 72 indexed citations
16.
Gordon, Michelle, David V. Tulumello, Glyn Cooper, et al.. (2003). Inner-Shell Excitation Spectroscopy of Fused-Ring Aromatic Molecules by Electron Energy Loss and X-ray Raman Techniques. The Journal of Physical Chemistry A. 107(41). 8512–8520. 35 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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