Robert J. Ihry

1.7k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Robert J. Ihry is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Robert J. Ihry has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Robert J. Ihry's work include CRISPR and Genetic Engineering (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Animal Behavior and Reproduction (2 papers). Robert J. Ihry is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Animal Behavior and Reproduction (2 papers). Robert J. Ihry collaborates with scholars based in United States, Switzerland and China. Robert J. Ihry's co-authors include Daniel Ho, Ajamete Kaykas, Kathleen A. Worringer, Max R. Salick, Sravya Kommineni, Chaoyang Ye, Gregory McAllister, Ranjit Randhawa, Ricardo Dolmetsch and Kraig M. Theriault and has published in prestigious journals such as Nature Medicine, Nature Communications and Genetics.

In The Last Decade

Robert J. Ihry

9 papers receiving 1.1k citations

Hit Papers

p53 inhibits CRISPR–Cas9 engineering in human pluripotent... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert J. Ihry United States 7 847 237 162 116 112 9 1.1k
Sravya Kommineni United States 5 727 0.9× 221 0.9× 161 1.0× 112 1.0× 109 1.0× 5 1.0k
Jennifer Oki United States 5 1.2k 1.4× 191 0.8× 91 0.6× 80 0.7× 230 2.1× 5 1.5k
Xueqiu Lin United States 15 1.3k 1.6× 214 0.9× 81 0.5× 63 0.5× 186 1.7× 22 1.6k
Gianluca Petris Italy 17 857 1.0× 183 0.8× 46 0.3× 52 0.4× 48 0.4× 23 1.0k
Peter Lotfy United States 5 1.1k 1.3× 149 0.6× 62 0.4× 40 0.3× 47 0.4× 6 1.2k
Louis Y. Tee Singapore 5 827 1.0× 234 1.0× 40 0.2× 98 0.8× 37 0.3× 7 965
Michael C. Bassik United States 2 1.8k 2.1× 286 1.2× 68 0.4× 131 1.1× 27 0.2× 2 1.9k
Qunshan Huang China 5 880 1.0× 256 1.1× 48 0.3× 95 0.8× 26 0.2× 7 989
Heon Seok Kim South Korea 14 1.7k 2.1× 471 2.0× 98 0.6× 94 0.8× 28 0.3× 24 1.9k
Robin M. Meyers United States 14 1.6k 1.9× 302 1.3× 65 0.4× 188 1.6× 69 0.6× 21 2.0k

Countries citing papers authored by Robert J. Ihry

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Ihry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Ihry. 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 Robert J. Ihry. The network helps show where Robert J. Ihry may publish in the future.

Co-authorship network of co-authors of Robert J. Ihry

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Ihry. A scholar is included among the top collaborators of Robert J. Ihry 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 Robert J. Ihry. Robert J. Ihry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kostić, Miloš, Joseph J. Raymond, Tayfun Tumkaya, et al.. (2023). Patient Brain Organoids Identify a Link between the 16p11.2 Copy Number Variant and the RBFOX1 Gene. ACS Chemical Neuroscience. 14(22). 3993–4012. 3 indexed citations
2.
Ihry, Robert J., Kathleen A. Worringer, Max R. Salick, et al.. (2018). p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cells. Nature Medicine. 24(7). 939–946. 658 indexed citations breakdown →
3.
Ye, Chaoyang, Daniel Ho, Marilisa Neri, et al.. (2018). DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery. Nature Communications. 9(1). 4307–4307. 135 indexed citations
4.
Wells, Michael F., Max R. Salick, Ole Wiskow, et al.. (2016). Genetic Ablation of AXL Does Not Protect Human Neural Progenitor Cells and Cerebral Organoids from Zika Virus Infection. Cell stem cell. 19(6). 703–708. 211 indexed citations
5.
Neuman, Sarah D., et al.. (2014). INO80-dependent regression of ecdysone-induced transcriptional responses regulates developmental timing in Drosophila. Developmental Biology. 387(2). 229–239. 19 indexed citations
6.
Ihry, Robert J. & Arash Bashirullah. (2013). Genetic Control of Specificity to Steroid-Triggered Responses in Drosophila. Genetics. 196(3). 767–780. 15 indexed citations
7.
Ihry, Robert J., et al.. (2013). Rapid Recombination Mapping for High-Throughput Genetic Screens in Drosophila. G3 Genes Genomes Genetics. 3(12). 2313–2319. 5 indexed citations
8.
Ihry, Robert J., et al.. (2012). Translational Control by the DEAD Box RNA Helicase belle Regulates Ecdysone-Triggered Transcriptional Cascades. PLoS Genetics. 8(11). e1003085–e1003085. 38 indexed citations
9.
Storlie, Eric, Robert J. Ihry, Leslie M. Baehr, et al.. (2008). Genomic regions influencing gene expression of the HMW glutenins in wheat. Theoretical and Applied Genetics. 118(2). 295–303. 8 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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