Anthony P. Orth

10.2k total citations · 4 hit papers
49 papers, 5.1k citations indexed

About

Anthony P. Orth is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anthony P. Orth has authored 49 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Anthony P. Orth's work include Neurobiology and Insect Physiology Research (8 papers), RNA Research and Splicing (6 papers) and Cancer Cells and Metastasis (5 papers). Anthony P. Orth is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), RNA Research and Splicing (6 papers) and Cancer Cells and Metastasis (5 papers). Anthony P. Orth collaborates with scholars based in United States, Switzerland and China. Anthony P. Orth's co-authors include Peter G. Schultz, Serge Batalov, John B. Hogenesch, Ardem Patapoutian, Sumit K. Chanda, Loren Miraglia, M. Cooke, John R. Walker, Andrew I. Su and Tim Wiltshire and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Anthony P. Orth

48 papers receiving 5.0k citations

Hit Papers

Large-scale analysis of the human and mouse transcriptomes 2002 2026 2010 2018 2002 2008 2005 2014 400 800 1.2k

Peers

Anthony P. Orth
Jing Huang United States
Bogdan Tanasă United States
Karin Rodland United States
Gray W. Pearson United States
Grace Gill United States
Edward Y. Chen United States
Wilbert Zwart Netherlands
Ran Elkon Israel
Keith A. Ching United States
Jing Huang United States
Anthony P. Orth
Citations per year, relative to Anthony P. Orth Anthony P. Orth (= 1×) peers Jing Huang

Countries citing papers authored by Anthony P. Orth

Since Specialization
Citations

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

Fields of papers citing papers by Anthony P. Orth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony P. Orth. 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 Anthony P. Orth. The network helps show where Anthony P. Orth may publish in the future.

Co-authorship network of co-authors of Anthony P. Orth

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony P. Orth. A scholar is included among the top collaborators of Anthony P. Orth 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 Anthony P. Orth. Anthony P. Orth 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.
Axelsson, G., Thor Aspelund, Joseph Loureiro, et al.. (2024). Proteomic associations with forced expiratory volume: a Mendelian randomisation study. Respiratory Research. 25(1). 44–44. 2 indexed citations
2.
Bill, Anke, Daniel Guthy, Jacob R. Haling, et al.. (2021). EndoBind detects endogenous protein-protein interactions in real time. Communications Biology. 4(1). 1085–1085. 2 indexed citations
3.
Groot‐Kormelink, Paul J., Sandrine Ferrand, Nicholas Kelley, et al.. (2016). High Throughput Random Mutagenesis and Single Molecule Real Time Sequencing of the Muscle Nicotinic Acetylcholine Receptor. PLoS ONE. 11(9). e0163129–e0163129. 4 indexed citations
4.
Bill, Anke, Elizabeth M. Rosethorne, Toby Kent, et al.. (2014). High Throughput Mutagenesis for Identification of Residues Regulating Human Prostacyclin (hIP) Receptor Expression and Function. PLoS ONE. 9(6). e97973–e97973. 8 indexed citations
5.
Qiu, Zhaozhu, Adrienne E. Dubin, Jayanti Mathur, et al.. (2014). SWELL1, a Plasma Membrane Protein, Is an Essential Component of Volume-Regulated Anion Channel. Cell. 157(2). 447–458. 450 indexed citations breakdown →
6.
Horman, Shane R., et al.. (2013). 3D High-Content Analysis of Spheroids. Genetic Engineering & Biotechnology News. 33(16). 18–19.
7.
Horman, Shane R., Jeremy To, & Anthony P. Orth. (2013). An HTS-Compatible 3D Colony Formation Assay to Identify Tumor-Specific Chemotherapeutics. SLAS DISCOVERY. 18(10). 1298–1308. 31 indexed citations
8.
Chiang, Chih-Yuan, Alex Engel, Amanda M. Opaluch, et al.. (2012). Cofactors Required for TLR7- and TLR9-Dependent Innate Immune Responses. Cell Host & Microbe. 11(3). 306–318. 42 indexed citations
9.
Wurdak, Heiko, Shoutian Zhu, Angélica Romero, et al.. (2010). An RNAi Screen Identifies TRRAP as a Regulator of Brain Tumor-Initiating Cell Differentiation. Cell stem cell. 6(1). 37–47. 94 indexed citations
10.
Wang, Jun, et al.. (2009). Juvenile hormone regulation of Drosophila Epac—A guanine nucleotide exchange factor. Molecular and Cellular Endocrinology. 305(1-2). 30–37. 4 indexed citations
11.
Li, Wei, Mário Henrique Bengtson, Akio Matsuda, et al.. (2008). Genome-Wide and Functional Annotation of Human E3 Ubiquitin Ligases Identifies MULAN, a Mitochondrial E3 that Regulates the Organelle's Dynamics and Signaling. PLoS ONE. 3(1). e1487–e1487. 625 indexed citations breakdown →
12.
Lorch, Jeffrey M., et al.. (2007). Effects of stress on the hemolymph juvenile hormone binding protein titers of Manduca sexta. Insect Biochemistry and Molecular Biology. 37(8). 847–854. 24 indexed citations
13.
Hancock, Michael K., et al.. (2006). Microplate Orbital Mixing Improves High-Throughput Cell-Based Reporter Assay Readouts. SLAS DISCOVERY. 12(1). 140–144. 11 indexed citations
14.
Cho, Charles Y., Seung‐Hoi Koo, Yan Wang, et al.. (2006). Identification of the tyrosine phosphatase PTP-MEG2 as an antagonist of hepatic insulin signaling. Cell Metabolism. 3(5). 367–378. 54 indexed citations
15.
Bandell, Michael, Adrienne E. Dubin, Matt Petrus, et al.. (2006). High-throughput random mutagenesis screen reveals TRPM8 residues specifically required for activation by menthol. Nature Neuroscience. 9(4). 493–500. 213 indexed citations
16.
Harada, Josephine N., Anthony P. Orth, Christian Nelson, et al.. (2005). Identification of novel mammalian growth regulatory factors by genome-scale quantitative image analysis. Genome Research. 15(8). 1136–1144. 38 indexed citations
17.
Orth, Anthony P., et al.. (2003). Embryonic expression of juvenile hormone binding protein and its relationship to the toxic effects of juvenile hormone in Manduca sexta. Insect Biochemistry and Molecular Biology. 33(12). 1275–1284. 18 indexed citations
18.
Orth, Anthony P., et al.. (2002). Sequence, structure and expression of the hemolymph juvenile hormone binding protein gene in the tobacco hornworm, Manduca sexta. Insect Biochemistry and Molecular Biology. 33(1). 93–102. 15 indexed citations
19.
Orth, Anthony P., Que Lan, & Walter G. Goodman. (1999). Ligand regulation of juvenile hormone binding protein mRNA in mutant Manduca sexta. Molecular and Cellular Endocrinology. 149(1-2). 61–69. 19 indexed citations
20.
Orth, Anthony P. & Walter G. Goodman. (1995). Juvenile hormone regulation of hemolymph juvenile hormone binding protein in the black strain of the tobacco hornworm, Manduca sexta. Archives of Insect Biochemistry and Physiology. 30(2-3). 165–176. 6 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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