Mark Del Campo

2.2k total citations
39 papers, 1.6k citations indexed

About

Mark Del Campo is a scholar working on Molecular Biology, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Mark Del Campo has authored 39 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, 10 papers in Materials Chemistry and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Mark Del Campo's work include RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (18 papers) and RNA Research and Splicing (12 papers). Mark Del Campo is often cited by papers focused on RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (18 papers) and RNA Research and Splicing (12 papers). Mark Del Campo collaborates with scholars based in United States, France and Japan. Mark Del Campo's co-authors include Alan M. Lambowitz, James Ofengand, Eckhard Jankowsky, Quansheng Yang, Yusuf Kaya, Sabine Mohr, Rick Russell, Pilar Tijerina, Arun Malhotra and Anna L. Mallam and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Mark Del Campo

37 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
Mark Del Campo United States 24 1.5k 172 130 111 45 39 1.6k
Kalim U. Mir United Kingdom 16 1.4k 1.0× 44 0.3× 100 0.8× 147 1.3× 17 0.4× 30 1.8k
Shuntaro Takahashi Japan 21 1.0k 0.7× 71 0.4× 59 0.5× 51 0.5× 23 0.5× 60 1.2k
Naoki Sugimoto Japan 22 1.6k 1.1× 41 0.2× 100 0.8× 40 0.4× 42 0.9× 56 1.7k
Seán E. O’Leary United States 18 1.0k 0.7× 36 0.2× 148 1.1× 47 0.4× 114 2.5× 27 1.2k
David H. J. Bunka United Kingdom 15 889 0.6× 76 0.4× 54 0.4× 90 0.8× 25 0.6× 20 1.1k
Julia E. Weigand Germany 22 1.4k 1.0× 78 0.5× 179 1.4× 26 0.2× 48 1.1× 50 1.5k
Aaron A. Hoskins United States 23 1.3k 0.9× 101 0.6× 94 0.7× 14 0.1× 25 0.6× 57 1.5k
Fiona M. Jucker United States 14 1.6k 1.1× 86 0.5× 125 1.0× 26 0.2× 61 1.4× 15 1.8k
Bettina Wolpensinger Germany 16 489 0.3× 128 0.7× 206 1.6× 245 2.2× 42 0.9× 28 922
Igor D. Vilfan United States 14 979 0.7× 47 0.3× 101 0.8× 86 0.8× 17 0.4× 16 1.3k

Countries citing papers authored by Mark Del Campo

Since Specialization
Citations

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

Fields of papers citing papers by Mark Del Campo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Del Campo. 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 Mark Del Campo. The network helps show where Mark Del Campo may publish in the future.

Co-authorship network of co-authors of Mark Del Campo

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Del Campo. A scholar is included among the top collaborators of Mark Del Campo 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 Mark Del Campo. Mark Del Campo 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.
Pitt, Tristan A., et al.. (2025). Controlled Growth and Interconversion of Photoluminescent Metal–Organic Frameworks under High-Concentration Conditions. Chemistry of Materials. 37(8). 2964–2975.
2.
Crawley, Matthew R., et al.. (2024). N-Oxide Coordination to Mn(III) Chloride. Molecules. 29(19). 4670–4670. 1 indexed citations
3.
Truong, Khai‐Nghi, Shô Itô, Jakub Wojciechowski, et al.. (2023). Making the Most of 3D Electron Diffraction: Best Practices to Handle a New Tool. Symmetry. 15(8). 1555–1555. 21 indexed citations
4.
Betts, Laurie, Rebecca M. Pollet, Stephen M. Kwong, et al.. (2013). Molecular basis of antibiotic multiresistance transfer in Staphylococcus aureus. Proceedings of the National Academy of Sciences. 110(8). 2804–2809. 40 indexed citations
5.
Finta, Csaba, Qianren Jin, Thomas Schwend, et al.. (2013). Structural basis of SUFU–GLI interaction in human Hedgehog signalling regulation. Acta Crystallographica Section D Biological Crystallography. 69(12). 2563–2579. 53 indexed citations
6.
Mohr, Georg, et al.. (2011). High-Throughput Genetic Identification of Functionally Important Regions of the Yeast DEAD-Box Protein Mss116p. Journal of Molecular Biology. 413(5). 952–972. 15 indexed citations
7.
Campo, Mark Del, et al.. (2011). ATP-Dependent Roles of the DEAD-Box Protein Mss116p in Group II Intron Splicing In Vitro and In Vivo. Journal of Molecular Biology. 411(3). 661–679. 27 indexed citations
8.
Savkina, M. V., et al.. (2009). Identification of proteins associated with the yeast mitochondrial RNA polymerase by tandem affinity purification. Yeast. 26(8). 423–440. 26 indexed citations
9.
Campo, Mark Del & Alan M. Lambowitz. (2009). Crystallization and preliminary X-ray diffraction of the DEAD-box protein Mss116p complexed with an RNA oligonucleotide and AMP-PNP. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 65(8). 832–835. 5 indexed citations
10.
Campo, Mark Del, Sabine Mohr, Yue Jiang, et al.. (2009). Unwinding by Local Strand Separation Is Critical for the Function of DEAD-Box Proteins as RNA Chaperones. Journal of Molecular Biology. 389(4). 674–693. 66 indexed citations
11.
Campo, Mark Del & Alan M. Lambowitz. (2009). Structure of the Yeast DEAD Box Protein Mss116p Reveals Two Wedges that Crimp RNA. Molecular Cell. 35(5). 598–609. 116 indexed citations
12.
Mohr, Georg, Mark Del Campo, Sabine Mohr, et al.. (2007). Function of the C-terminal Domain of the DEAD-box Protein Mss116p Analyzed in Vivo and in Vitro. Journal of Molecular Biology. 375(5). 1344–1364. 69 indexed citations
13.
Campo, Mark Del, Pilar Tijerina, Hari Bhaskaran, et al.. (2007). Do DEAD-Box Proteins Promote Group II Intron Splicing without Unwinding RNA?. Molecular Cell. 28(1). 159–166. 55 indexed citations
14.
15.
Yang, Quansheng, Mark Del Campo, Alan M. Lambowitz, & Eckhard Jankowsky. (2007). DEAD-Box Proteins Unwind Duplexes by Local Strand Separation. Molecular Cell. 28(2). 253–263. 134 indexed citations
16.
17.
Campo, Mark Del, Steven C. Pomerantz, Rebecca Guymon, et al.. (2005). Number, position, and significance of the pseudouridines in the large subunit ribosomal RNA of Haloarcula marismortui and Deinococcus radiodurans. RNA. 11(2). 210–219. 37 indexed citations
18.
Campo, Mark Del, James Ofengand, & Arun Malhotra. (2004). Crystal structure of the catalytic domain of RluD, the only rRNA pseudouridine synthase required for normal growth of Escherichia coli. RNA. 10(2). 231–239. 42 indexed citations
19.
Campo, Mark Del, James Ofengand, & Arun Malhotra. (2003). Purification and crystallization ofEscherichia colipseudouridine synthase RluD. Acta Crystallographica Section D Biological Crystallography. 59(10). 1871–1873. 3 indexed citations
20.
Campo, Mark Del, Yusuf Kaya, & James Ofengand. (2001). Identification and site of action of the remaining four putative pseudouridine synthases in Escherichia coli.. PubMed. 7(11). 1603–15. 71 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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