Mark Schreiber

2.4k total citations
30 papers, 1.7k citations indexed

About

Mark Schreiber is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Mark Schreiber has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Public Health, Environmental and Occupational Health, 11 papers in Infectious Diseases and 8 papers in Molecular Biology. Recurrent topics in Mark Schreiber's work include Mosquito-borne diseases and control (12 papers), Viral Infections and Vectors (7 papers) and RNA and protein synthesis mechanisms (5 papers). Mark Schreiber is often cited by papers focused on Mosquito-borne diseases and control (12 papers), Viral Infections and Vectors (7 papers) and RNA and protein synthesis mechanisms (5 papers). Mark Schreiber collaborates with scholars based in Singapore, United States and New Zealand. Mark Schreiber's co-authors include Martin L. Hibberd, Subhash G. Vasudevan, Thomas Tolfvenstam, Samiul Hasan, Maria D. Ermolaeva, Steven L. Salzberg, Barış Ethem Süzek, Eng Eong Ooi, Sabine Daugelat and P. S. Srinivasa Rao and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Mark Schreiber

30 papers receiving 1.7k 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 Schreiber Singapore 20 771 649 599 208 175 30 1.7k
Vas Dev India 30 1.8k 2.3× 391 0.6× 283 0.5× 226 1.1× 113 0.6× 95 2.2k
Mario Recker United Kingdom 25 1.2k 1.5× 623 1.0× 466 0.8× 75 0.4× 419 2.4× 53 2.2k
Hui‐Yee Chee Malaysia 16 551 0.7× 611 0.9× 444 0.7× 102 0.5× 39 0.2× 67 1.6k
Hyun Mo Yang Brazil 28 1.6k 2.1× 652 1.0× 283 0.5× 132 0.6× 432 2.5× 115 2.6k
Carlo Severini Italy 26 1.4k 1.9× 290 0.4× 352 0.6× 237 1.1× 104 0.6× 91 2.1k
Enrico Lavezzo Italy 27 708 0.9× 812 1.3× 754 1.3× 253 1.2× 111 0.6× 64 2.1k
John Frean South Africa 25 765 1.0× 637 1.0× 181 0.3× 59 0.3× 199 1.1× 107 1.9k
Rafael K. Campos United States 22 710 0.9× 629 1.0× 333 0.6× 212 1.0× 125 0.7× 47 1.7k
Kenneth S. Plante United States 26 1.2k 1.5× 2.1k 3.3× 469 0.8× 71 0.3× 111 0.6× 61 2.8k
Eric Martínez France 24 2.9k 3.8× 2.0k 3.1× 378 0.6× 153 0.7× 120 0.7× 51 3.6k

Countries citing papers authored by Mark Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by Mark Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Schreiber

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Schreiber. A scholar is included among the top collaborators of Mark Schreiber 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 Schreiber. Mark Schreiber 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.
Wilkins, Thad, et al.. (2023). Development of an Emergency Department Surge Plan Based on the NEDOCS score. PubMed. 21(Suppl 3). 4789–4789. 1 indexed citations
2.
Chang, David, Long Hoàng, Ahmad Nazri Mohamed Naim, et al.. (2016). Evasion of early innate immune response by 2′-O-methylation of dengue genomic RNA. Virology. 499. 259–266. 42 indexed citations
3.
Schreiber, Mark, et al.. (2015). Impact of prescription drug-monitoring program on controlled substance prescribing in the ED. The American Journal of Emergency Medicine. 33(6). 781–785. 28 indexed citations
4.
Sasmono, R. Tedjo, Isra Wahid, Hidayat Trimarsanto, et al.. (2015). Genomic analysis and growth characteristic of dengue viruses from Makassar, Indonesia. Infection Genetics and Evolution. 32. 165–177. 75 indexed citations
5.
Sessions, Paola Flórez de, Vivian Lim, Ahmad Nazri Mohamed Naim, et al.. (2013). Exploring the Mode of Action of Bioactive Compounds by Microfluidic Transcriptional Profiling in Mycobacteria. PLoS ONE. 8(7). e69191–e69191. 13 indexed citations
6.
Tolfvenstam, Thomas, Anna Lindblom, Mark Schreiber, et al.. (2011). Characterization of early host responses in adults with dengue disease. BMC Infectious Diseases. 11(1). 209–209. 52 indexed citations
7.
Christenbury, Joseph G., Pauline Aw, Swee Hoe Ong, et al.. (2010). A method for full genome sequencing of all four serotypes of the dengue virus. Journal of Virological Methods. 169(1). 202–206. 70 indexed citations
8.
Schreiber, Mark, Wouter Schul, Feng Gu, & Pei‐Yong Shi. (2010). Frontiers in Dengue Virus Research. Expert Review of Vaccines. 9(2). 133–136. 49 indexed citations
9.
Schreiber, Mark, et al.. (2009). Protein kinases as antibacterial targets. Current Opinion in Cell Biology. 21(2). 325–330. 47 indexed citations
10.
Schreiber, Mark, Edward C. Holmes, Swee Hoe Ong, et al.. (2009). Genomic Epidemiology of a Dengue Virus Epidemic in Urban Singapore. Journal of Virology. 83(9). 4163–4173. 83 indexed citations
11.
Kanagasabai, Rajaraman, et al.. (2008). Ontology-centric integration and navigation of the dengue literature. Journal of Biomedical Informatics. 41(5). 806–815. 14 indexed citations
12.
Tanner, Lukas B., Mark Schreiber, Jenny G. Low, et al.. (2008). Decision Tree Algorithms Predict the Diagnosis and Outcome of Dengue Fever in the Early Phase of Illness. PLoS neglected tropical diseases. 2(3). e196–e196. 178 indexed citations
13.
Ong, Swee Hoe, Yen‐Liang Chen, Wei Liu, et al.. (2007). Periodic re-emergence of endemic strains with strong epidemic potential—A proposed explanation for the 2004 Indonesian dengue epidemic. Infection Genetics and Evolution. 8(2). 191–204. 56 indexed citations
14.
Teo, Jeanette, Pamela Thayalan, David Beer, et al.. (2006). Peptide Deformylase Inhibitors as Potent Antimycobacterial Agents. Antimicrobial Agents and Chemotherapy. 50(11). 3665–3673. 47 indexed citations
15.
Lee, Michael A., Orla M. Keane, T. R. Manley, et al.. (2006). Establishment of a pipeline to analyse non-synonymous SNPs in Bos taurus. BMC Genomics. 7(1). 298–298. 19 indexed citations
16.
Hasan, Samiul & Mark Schreiber. (2006). Recovering motifs from biased genomes: application of signal correction. Nucleic Acids Research. 34(18). 5124–5132. 5 indexed citations
17.
Barrett, Brent, Andrew G. Griffiths, Mark Schreiber, et al.. (2004). A microsatellite map of white clover. Theoretical and Applied Genetics. 109(3). 596–608. 86 indexed citations
18.
Faville, Marty J., A. C. Vecchies, Mark Schreiber, et al.. (2004). Functionally associated molecular genetic marker map construction in perennial ryegrass (Lolium perenne L.). Theoretical and Applied Genetics. 110(1). 12–32. 93 indexed citations
19.
Brown, Chris M., et al.. (2003). Detection of signals in mRNAs that influence translation.. PubMed. 2(3 Suppl). S47–51. 1 indexed citations
20.
Süzek, Barış Ethem, Maria D. Ermolaeva, Mark Schreiber, & Steven L. Salzberg. (2001). A probabilistic method for identifying start codons in bacterial genomes. Bioinformatics. 17(12). 1123–1130. 143 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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