Bryan Frank

4.5k total citations
41 papers, 2.7k citations indexed

About

Bryan Frank is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Bryan Frank has authored 41 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Physiology and 7 papers in Genetics. Recurrent topics in Bryan Frank's work include Gene expression and cancer classification (8 papers), Molecular Biology Techniques and Applications (6 papers) and Bioinformatics and Genomic Networks (6 papers). Bryan Frank is often cited by papers focused on Gene expression and cancer classification (8 papers), Molecular Biology Techniques and Applications (6 papers) and Bioinformatics and Genomic Networks (6 papers). Bryan Frank collaborates with scholars based in United States, Germany and Israel. Bryan Frank's co-authors include John Quackenbush, Norman H. Lee, Jennie Larkin, Haralambos Gavras, Răzvan Sultana, Hary Soerijanto, Reinhard Schomäcker, Truong Luu, Robert Schlögl and Rosalyn Irby and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Neuroscience and Blood.

In The Last Decade

Bryan Frank

41 papers receiving 2.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bryan Frank 1.7k 377 272 258 240 41 2.7k
Tae‐Jin Kim 1.7k 1.0× 101 0.3× 337 1.2× 117 0.5× 176 0.7× 136 3.2k
Kouichi Ito 856 0.5× 249 0.7× 244 0.9× 49 0.2× 111 0.5× 78 3.0k
Salvatore Feo 1.6k 0.9× 184 0.5× 169 0.6× 27 0.1× 123 0.5× 76 2.6k
Jane Mellor 5.9k 3.6× 547 1.5× 108 0.4× 24 0.1× 241 1.0× 78 6.8k
Annette Draeger 2.6k 1.5× 137 0.4× 60 0.2× 39 0.2× 442 1.8× 87 4.0k
Tomoko Ishii 1.0k 0.6× 46 0.1× 372 1.4× 291 1.1× 116 0.5× 44 2.6k
Sumin Lee 1.4k 0.9× 55 0.1× 153 0.6× 74 0.3× 71 0.3× 95 3.0k
Guojian Jiang 939 0.6× 81 0.2× 255 0.9× 18 0.1× 260 1.1× 91 2.3k
Fang Fang 2.3k 1.4× 347 0.9× 138 0.5× 10 0.0× 169 0.7× 197 4.1k
Ayako Watanabe 481 0.3× 72 0.2× 77 0.3× 47 0.2× 150 0.6× 94 1.3k

Countries citing papers authored by Bryan Frank

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Frank

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Frank. A scholar is included among the top collaborators of Bryan Frank 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 Bryan Frank. Bryan Frank 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.
Rajagopala, Seesandra V., Harinder Singh, Yanbao Yu, et al.. (2019). Persistent Gut Microbial Dysbiosis in Children with Acute Lymphoblastic Leukemia (ALL) During Chemotherapy. Microbial Ecology. 79(4). 1034–1043. 51 indexed citations
2.
Brinkac, Lauren, Thomas H. Clarke, Harinder Singh, et al.. (2018). Spatial and Environmental Variation of the Human Hair Microbiota. Scientific Reports. 8(1). 9017–9017. 31 indexed citations
3.
Jones, Marcus B., William C. Nierman, Yue Shan, et al.. (2016). Reducing the Bottleneck in Discovery of Novel Antibiotics. Microbial Ecology. 73(3). 658–667. 25 indexed citations
4.
Tarabichi, Yasir, Scott Hu, C. Nguyen, et al.. (2015). The administration of intranasal live attenuated influenza vaccine induces changes in the nasal microbiota and nasal epithelium gene expression profiles. Microbiome. 3(1). 74–74. 61 indexed citations
5.
Kaiser, Brooke L. Deatherage, Jie Li, James Sanford, et al.. (2013). A Multi-Omic View of Host-Pathogen-Commensal Interplay in Salmonella-Mediated Intestinal Infection. PLoS ONE. 8(6). e67155–e67155. 69 indexed citations
6.
Ansong, Charles, Alexandra C. Schrimpe‐Rutledge, Hugh Mitchell, et al.. (2012). A multi-omic systems approach to elucidating Yersinia virulence mechanisms. Molecular BioSystems. 9(1). 44–54. 24 indexed citations
7.
Schrimpe‐Rutledge, Alexandra C., Marcus B. Jones, Sadhana Chauhan, et al.. (2012). Comparative Omics-Driven Genome Annotation Refinement: Application across Yersiniae. PLoS ONE. 7(3). e33903–e33903. 31 indexed citations
8.
House, Carrie D., Charles Vaske, Arnold M. Schwartz, et al.. (2010). Voltage-Gated Na+ Channel SCN5A Is a Key Regulator of a Gene Transcriptional Network That Controls Colon Cancer Invasion. Cancer Research. 70(17). 6957–6967. 205 indexed citations
9.
Wang, Bi‐Dar, C. Leah B. Kline, Danielle M. Pastor, et al.. (2010). Prostate apoptosis response protein 4 sensitizes human colon cancer cells to chemotherapeutic 5-FU through mediation of an NFκB and microRNA network. Molecular Cancer. 9(1). 98–98. 44 indexed citations
10.
Tapocik, Jenica D., Noah Letwin, Cheryl L. Mayo, et al.. (2009). Identification of Candidate Genes and Gene Networks Specifically Associated with Analgesic Tolerance to Morphine. Journal of Neuroscience. 29(16). 5295–5307. 28 indexed citations
11.
Vaske, Charles, Carrie D. House, Truong Luu, et al.. (2009). A Factor Graph Nested Effects Model To Identify Networks from Genetic Perturbations. PLoS Computational Biology. 5(1). e1000274–e1000274. 28 indexed citations
12.
Saad, Yasser, et al.. (2008). Closely linked non-additive blood pressure quantitative trait loci. Mammalian Genome. 19(3). 209–218. 13 indexed citations
13.
Letwin, Noah, Neri Kafkafi, Yoav Benjamini, et al.. (2006). Combined Application of Behavior Genetics and Microarray Analysis to Identify Regional Expression Themes and Gene–Behavior Associations. Journal of Neuroscience. 26(20). 5277–5287. 50 indexed citations
14.
Betenbaugh, Michael J., et al.. (2006). Application of microarrays to identify and characterize genes involved in attachment dependence in HeLa cells. Metabolic Engineering. 9(3). 241–251. 22 indexed citations
15.
Joe, Bina, Noah Letwin, Michael R. Garrett, et al.. (2005). Transcriptional profiling with a blood pressure QTL interval-specific oligonucleotide array. Physiological Genomics. 23(3). 318–326. 39 indexed citations
16.
Marko, Nicholas F., Bryan Frank, John Quackenbush, & Norman H. Lee. (2005). A robust method for the amplification of RNA in the sense orientation. BMC Genomics. 6(1). 27–27. 26 indexed citations
17.
Larkin, Jennie, Bryan Frank, Haralambos Gavras, Răzvan Sultana, & John Quackenbush. (2005). Independence and reproducibility across microarray platforms. Nature Methods. 2(5). 337–344. 319 indexed citations
18.
Teramoto, Hidemi, Maria Domenica Castellone, Renae L. Malek, et al.. (2004). Autocrine activation of an osteopontin-CD44-Rac pathway enhances invasion and transformation by H-RasV12. Oncogene. 24(3). 489–501. 76 indexed citations
19.
Malek, Renae L., Anne E. Kwitek, Andrew S. Greene, et al.. (2003). Assessing unmodified 70-mer oligonucleotide probe performance on glass-slide microarrays. Genome biology. 4(1). R5–R5. 122 indexed citations
20.
Malek, Renae L., Rosalyn Irby, Qingbin Guo, et al.. (2002). Identification of Src transformation fingerprint in human colon cancer. Oncogene. 21(47). 7256–7265. 70 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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