David S. Campo

1.4k total citations
46 papers, 827 citations indexed

About

David S. Campo is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, David S. Campo has authored 46 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Hepatology, 26 papers in Epidemiology and 11 papers in Molecular Biology. Recurrent topics in David S. Campo's work include Hepatitis C virus research (34 papers), Hepatitis B Virus Studies (22 papers) and Liver Disease Diagnosis and Treatment (14 papers). David S. Campo is often cited by papers focused on Hepatitis C virus research (34 papers), Hepatitis B Virus Studies (22 papers) and Liver Disease Diagnosis and Treatment (14 papers). David S. Campo collaborates with scholars based in United States, Brazil and Australia. David S. Campo's co-authors include Yury Khudyakov, Zoya Dimitrova, Sumathi Ramachandran, Guoliang Xia, Gilberto Vaughan, Joseph C. Forbi, Michael A. Purdy, Pavel Skums, Lilia Ganova‐Raeva and Hong Thai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

David S. Campo

46 papers receiving 814 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 S. Campo United States 15 497 474 189 126 123 46 827
Son Pham Australia 9 319 0.6× 291 0.6× 72 0.4× 87 0.7× 137 1.1× 21 513
Ryuichi Sugiyama Japan 15 309 0.6× 364 0.8× 259 1.4× 149 1.2× 215 1.7× 36 775
Christian Harak Germany 11 298 0.6× 259 0.5× 244 1.3× 65 0.5× 158 1.3× 14 683
Irina Sominskaya Latvia 18 415 0.8× 584 1.2× 233 1.2× 43 0.3× 191 1.6× 34 873
Lucy Beales United Kingdom 11 423 0.9× 429 0.9× 298 1.6× 42 0.3× 166 1.3× 14 958
Alexander S. Kekulé Germany 13 427 0.9× 767 1.6× 334 1.8× 37 0.3× 165 1.3× 27 1.1k
Rachel Trowbridge Australia 16 340 0.7× 308 0.6× 182 1.0× 38 0.3× 121 1.0× 26 691
Christophe Ramière France 18 518 1.0× 478 1.0× 200 1.1× 71 0.6× 305 2.5× 33 1.0k
Caroline Scholtès France 20 915 1.8× 867 1.8× 147 0.8× 72 0.6× 308 2.5× 46 1.2k
Natalia M. Araújo Brazil 18 459 0.9× 560 1.2× 70 0.4× 23 0.2× 112 0.9× 41 744

Countries citing papers authored by David S. Campo

Since Specialization
Citations

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

Fields of papers citing papers by David S. Campo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Campo

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Campo. A scholar is included among the top collaborators of David S. 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 David S. Campo. David S. 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.
Campo, David S., et al.. (2023). A Novel Information-Theory-Based Genetic Distance That Approximates Phenotypic Differences. Journal of Computational Biology. 30(4). 420–431. 3 indexed citations
2.
Campo, David S., et al.. (2022). Primary case inference in viral outbreaks through analysis of intra-host variant population. BMC Bioinformatics. 23(1). 62–62. 1 indexed citations
3.
Campo, David S. & Yury Khudyakov. (2020). Machine learning can accelerate discovery and application of cyber-molecular cancer diagnostics. PubMed. 3(7). 7–7. 1 indexed citations
4.
Campo, David S., Vishal Nayak, Ganesh Srinivasamoorthy, & Yury Khudyakov. (2019). Entropy of mitochondrial DNA circulating in blood is associated with hepatocellular carcinoma. BMC Medical Genomics. 12(S4). 74–74. 17 indexed citations
5.
Campo, David S. & Yury Khudyakov. (2018). Intelligent Network DisRuption Analysis (INDRA): A targeted strategy for efficient interruption of hepatitis C transmissions. Infection Genetics and Evolution. 63. 204–215. 9 indexed citations
6.
Campo, David S., et al.. (2018). Fast estimation of genetic relatedness between members of heterogeneous populations of closely related genomic variants. BMC Bioinformatics. 19(S11). 360–360. 2 indexed citations
7.
Campo, David S., Pavel Skums, Zoya Dimitrova, et al.. (2017). GHOST: global hepatitis outbreak and surveillance technology. BMC Genomics. 18(S10). 916–916. 30 indexed citations
8.
Campo, David S., Brian L. Pearlman, Daniel S. Fierer, et al.. (2016). Increased Mitochondrial Genetic Diversity in Persons Infected With Hepatitis C Virus. Cellular and Molecular Gastroenterology and Hepatology. 2(5). 676–684. 6 indexed citations
9.
Campo, David S., Guoliang Xia, Zoya Dimitrova, et al.. (2015). Accurate Genetic Detection of Hepatitis C Virus Transmissions in Outbreak Settings. The Journal of Infectious Diseases. 213(6). 957–965. 49 indexed citations
10.
Ganova‐Raeva, Lilia, Lili Punkova, David S. Campo, et al.. (2015). Cryptic Hepatitis B and E in Patients With Acute Hepatitis of Unknown Etiology. The Journal of Infectious Diseases. 212(12). 1962–1969. 10 indexed citations
11.
Forbi, Joseph C., Jennifer E. Layden, Richard Odame Phillips, et al.. (2015). Next-Generation Sequencing Reveals Frequent Opportunities for Exposure to Hepatitis C Virus in Ghana. PLoS ONE. 10(12). e0145530–e0145530. 7 indexed citations
12.
Ganova‐Raeva, Lilia, Zoya Dimitrova, David S. Campo, et al.. (2013). Detection of Hepatitis C Virus Transmission by Use of DNA Mass Spectrometry. The Journal of Infectious Diseases. 207(6). 999–1006. 6 indexed citations
13.
Dimitrova, Zoya, David S. Campo, Sumathi Ramachandran, et al.. (2012). Evaluation of viral heterogeneity using next-generation sequencing, end-point limiting-dilution and mass spectrometry. In Silico Biology. 11(5-6). 183–192. 14 indexed citations
14.
Skums, Pavel, David S. Campo, Zoya Dimitrova, et al.. (2012). Numerical detection, measuring and analysis of differential interferon resistance for individual HCV intra-host variants and its influence on the therapy response. In Silico Biology. 11(5-6). 263–269. 8 indexed citations
15.
Thai, Hong, David S. Campo, James Lara, et al.. (2012). Convergence and coevolution of Hepatitis B virus drug resistance. Nature Communications. 3(1). 789–789. 39 indexed citations
16.
Ganova‐Raeva, Lilia, Zoya Dimitrova, David S. Campo, & Yury Khudyakov. (2012). Application of mass spectrometry to molecular surveillance of hepatitis B and C viral infections. Antiviral Therapy. 17(7 Pt B). 1477–1482. 5 indexed citations
17.
Campo, David S., Zoya Dimitrova, Michael A. Purdy, et al.. (2012). Coordinated evolution of the Hepatitis B Virus Polymerase. In Silico Biology. 11(5-6). 175–182. 7 indexed citations
18.
Campo, David S., Zoya Dimitrova, Jonny Yokosawa, et al.. (2012). Hepatitis C Virus Antigenic Convergence. Scientific Reports. 2(1). 267–267. 22 indexed citations
19.
Ramachandran, Sumathi, Xiangjun Zhai, Hong Thai, et al.. (2011). Evaluation of Intra-Host Variants of the Entire Hepatitis B Virus Genome. PLoS ONE. 6(9). e25232–e25232. 20 indexed citations
20.
Yunis, Juan J., et al.. (2005). Population data of Y-STR minimal haplotypes in a sample of Caucasian-Mestizo and African descent individuals of Colombia. Forensic Science International. 151(2-3). 307–313. 21 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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