Perrin H. Beatty

3.8k total citations · 1 hit paper
38 papers, 2.6k citations indexed

About

Perrin H. Beatty is a scholar working on Molecular Biology, Plant Science and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Perrin H. Beatty has authored 38 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Plant Science and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Perrin H. Beatty's work include Plant nutrient uptake and metabolism (9 papers), Prostate Cancer Treatment and Research (6 papers) and Microbial Natural Products and Biosynthesis (5 papers). Perrin H. Beatty is often cited by papers focused on Plant nutrient uptake and metabolism (9 papers), Prostate Cancer Treatment and Research (6 papers) and Microbial Natural Products and Biosynthesis (5 papers). Perrin H. Beatty collaborates with scholars based in Canada, United States and Oman. Perrin H. Beatty's co-authors include Allen G. Good, Susan E. Jensen, Chandra H. McAllister, Steven J. Rothstein, John D. Lewis, Mei Han, Ashraf El‐Kereamy, Mamoru Okamoto, Maryam Sartippour and Tong Zhu and has published in prestigious journals such as Science, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Perrin H. Beatty

37 papers receiving 2.5k citations

Hit Papers

Engineering nitrogen use efficient crop plants: the curre... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Perrin H. Beatty Canada 25 1.5k 780 308 223 204 38 2.6k
Ke Wang China 38 2.4k 1.6× 2.1k 2.7× 276 0.9× 176 0.8× 484 2.4× 236 4.9k
Chunsheng Liu China 25 695 0.5× 1.0k 1.3× 219 0.7× 297 1.3× 101 0.5× 154 2.6k
Prashant Kaushik India 28 1.8k 1.2× 642 0.8× 167 0.5× 246 1.1× 173 0.8× 216 3.4k
Gyuhwa Chung South Korea 30 2.4k 1.6× 1.1k 1.4× 156 0.5× 86 0.4× 375 1.8× 118 3.3k
Shuxian Li China 28 1.8k 1.2× 844 1.1× 151 0.5× 89 0.4× 63 0.3× 146 2.4k
Yingying Xing China 31 740 0.5× 815 1.0× 192 0.6× 452 2.0× 47 0.2× 79 2.7k
Xiufeng Yan China 31 1.7k 1.1× 1.6k 2.1× 112 0.4× 67 0.3× 160 0.8× 195 3.5k
Fang Liu China 38 3.6k 2.3× 1.9k 2.4× 133 0.4× 116 0.5× 313 1.5× 285 5.0k
Feng Zhang China 33 1.8k 1.2× 1.1k 1.5× 189 0.6× 64 0.3× 103 0.5× 153 2.8k

Countries citing papers authored by Perrin H. Beatty

Since Specialization
Citations

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

Fields of papers citing papers by Perrin H. Beatty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Perrin H. Beatty. 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 Perrin H. Beatty. The network helps show where Perrin H. Beatty may publish in the future.

Co-authorship network of co-authors of Perrin H. Beatty

This figure shows the co-authorship network connecting the top 25 collaborators of Perrin H. Beatty. A scholar is included among the top collaborators of Perrin H. Beatty 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 Perrin H. Beatty. Perrin H. Beatty 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.
Hyndman, M. Eric, Robert J. Paproski, Adam Kinnaird, et al.. (2024). Development of an effective predictive screening tool for prostate cancer using the ClarityDX machine learning platform. npj Digital Medicine. 7(1). 163–163. 3 indexed citations
2.
Pink, Desmond, Arghya Basu, Juliana Valencia, et al.. (2023). Antibody titrations are critical for microflow cytometric analysis of extracellular vesicles. Cytometry Part A. 103(8). 670–683.
3.
Fairey, Adrian, Robert J. Paproski, Desmond Pink, et al.. (2023). Clinical analysis of EV‐Fingerprint to predict grade group 3 and above prostate cancer and avoid prostate biopsy. Cancer Medicine. 12(15). 15797–15808. 4 indexed citations
4.
Brown, Douglas W., Perrin H. Beatty, & John D. Lewis. (2022). Molecular Targeting of the Most Functionally Complex Gene in Precision Oncology: p53. Cancers. 14(21). 5176–5176. 8 indexed citations
6.
Beatty, Perrin H. & John D. Lewis. (2019). Cowpea mosaic virus nanoparticles for cancer imaging and therapy. Advanced Drug Delivery Reviews. 145. 130–144. 60 indexed citations
7.
Han, Mei, et al.. (2016). Identification of Nitrogen Use Efficiency Genes in Barley: Searching for QTLs Controlling Complex Physiological Traits. Frontiers in Plant Science. 7. 1587–1587. 59 indexed citations
8.
Beatty, Perrin H., et al.. (2013). Manipulation of microRNA expression to improve nitrogen use efficiency. Plant Science. 210. 70–81. 64 indexed citations
9.
McAllister, Chandra H., Perrin H. Beatty, & Allen G. Good. (2012). Engineering nitrogen use efficient crop plants: the current status. Plant Biotechnology Journal. 10(9). 1011–1025. 306 indexed citations breakdown →
10.
Good, Allen G. & Perrin H. Beatty. (2011). Fertilizing Nature: A Tragedy of Excess in the Commons. PLoS Biology. 9(8). e1001124–e1001124. 352 indexed citations
11.
Beatty, Perrin H., Ashok K. Shrawat, Rebecka T. Carroll, Tong Zhu, & Allen G. Good. (2009). Transcriptome analysis of nitrogen‐efficient rice over‐expressing alanine aminotransferase. Plant Biotechnology Journal. 7(6). 562–576. 60 indexed citations
12.
Tahlan, Kapil, Roy H. Mosher, Perrin H. Beatty, et al.. (2007). 5S Clavam Biosynthetic Genes Are Located in Both the Clavam and Paralog Gene Clusters in Streptomyces clavuligerus. Chemistry & Biology. 14(2). 131–142. 33 indexed citations
13.
Audette, Gerald F., J. Manchak, Perrin H. Beatty, William Klimke, & Laura S. Frost. (2007). Entry exclusion in F-like plasmids requires intact TraG in the donor that recognizes its cognate TraS in the recipient. Microbiology. 153(2). 442–451. 56 indexed citations
14.
Shao, Zhi‐Ming, Perrin H. Beatty, Maryam Sartippour, et al.. (2003). The Use of Oxytocin in Nipple Fluid Aspiration. The Breast Journal. 9(4). 266–268. 12 indexed citations
15.
Jensen, Susan E., Ashish S. Paradkar, Roy H. Mosher, et al.. (2003). Five Additional Genes Are Involved in Clavulanic Acid Biosynthesis in Streptomyces clavuligerus. Antimicrobial Agents and Chemotherapy. 48(1). 192–202. 41 indexed citations
16.
Sartippour, Maryam, Zhi‐Ming Shao, Perrin H. Beatty, et al.. (2002). Green Tea Inhibits Vascular Endothelial Growth Factor (VEGF) Induction in Human Breast Cancer Cells. Journal of Nutrition. 132(8). 2307–2311. 192 indexed citations
17.
Liu, Canhui, Zuo‐Feng Zhang, Zhi‐Ming Shao, et al.. (2002). Identification of a Novel Endothelial-Derived Gene EG-1. Biochemical and Biophysical Research Communications. 290(1). 602–612. 23 indexed citations
18.
Beatty, Perrin H. & Susan E. Jensen. (2002). Paenibacillus polymyxaproduces fusaricidin-type antifungal antibiotics active againstLeptosphaeria maculans, the causative agent of blackleg disease of canola. Canadian Journal of Microbiology. 48(2). 159–169. 156 indexed citations
19.
Sartippour, Maryam, David Heber, Liping Zhang, et al.. (2002). Inhibition of fibroblast growth factors by green tea. International Journal of Oncology. 21(3). 487–91. 39 indexed citations
20.
Greene, Elizabeth A., Perrin H. Beatty, & Phillip M. Fedorak. (2000). Sulfolane degradation by mixed cultures and a bacterial isolate identified as a Variovorax sp.. Archives of Microbiology. 174(1-2). 111–119. 40 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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