Po-Hao Wang

453 total citations
10 papers, 170 citations indexed

About

Po-Hao Wang is a scholar working on Molecular Biology, Plant Science and General Economics, Econometrics and Finance. According to data from OpenAlex, Po-Hao Wang has authored 10 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 1 paper in General Economics, Econometrics and Finance. Recurrent topics in Po-Hao Wang's work include Plant Gene Expression Analysis (3 papers), CRISPR and Genetic Engineering (3 papers) and Plant Molecular Biology Research (3 papers). Po-Hao Wang is often cited by papers focused on Plant Gene Expression Analysis (3 papers), CRISPR and Genetic Engineering (3 papers) and Plant Molecular Biology Research (3 papers). Po-Hao Wang collaborates with scholars based in United States, China and Taiwan. Po-Hao Wang's co-authors include Shreedharan Sriram, Manju Gupta, Pudota B. Bhaskar, Surinder Chopra, Blake C. Meyers, Tzuu‐fen Lee, Rajandeep S. Sekhon, Iffa Gaffoor, Xiaozeng Yang and Stephen J. Novak and has published in prestigious journals such as PLoS ONE, The Plant Cell and Frontiers in Plant Science.

In The Last Decade

Po-Hao Wang

10 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Po-Hao Wang United States	7	110	108	26	14	12	10	170
Hussien F. Alameldin United States	8	90 0.8×	96 0.9×	31 1.2×	20 1.4×	10 0.8×	13	151
Min Young Yoon South Korea	7	94 0.9×	250 2.3×	9 0.3×	7 0.5×	6 0.5×	9	288
Dongquan Guo China	11	138 1.3×	255 2.4×	47 1.8×	6 0.4×	14 1.2×	18	305
Greg S. Goralogia United States	8	219 2.0×	239 2.2×	9 0.3×	8 0.6×	6 0.5×	12	285
Fanghe Zhu China	7	101 0.9×	215 2.0×	11 0.4×	3 0.2×	8 0.7×	9	246
Ying‐Dong Bi China	6	179 1.6×	350 3.2×	36 1.4×	4 0.3×	11 0.9×	10	385
Rodrigo Caroca‐Cáceres Ecuador	6	99 0.9×	97 0.9×	10 0.4×	10 0.7×	14 1.2×	10	169
Esteban D. Temporini Argentina	8	124 1.1×	167 1.5×	18 0.7×	7 0.5×	5 0.4×	9	248
Hala Badr Khalil Egypt	7	68 0.6×	134 1.2×	24 0.9×	8 0.6×	4 0.3×	23	175
Judith Owiti United States	5	172 1.6×	215 2.0×	5 0.2×	6 0.4×	23 1.9×	7	290

Countries citing papers authored by Po-Hao Wang

Since Specialization

Citations

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

Fields of papers citing papers by Po-Hao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po-Hao Wang. 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 Po-Hao Wang. The network helps show where Po-Hao Wang may publish in the future.

Co-authorship network of co-authors of Po-Hao Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Wang, Po-Hao, et al.. (2025). Exploring the Development Trajectory of Digital Transformation. Systems. 13(7). 568–568. 1 indexed citations

Wang, Po-Hao, Gurpreet Kaur Sidhu, Neela H. Yennawar, et al.. (2024). Maize unstable factor for orange1 encodes a nuclear protein that affects redox accumulation during kernel development. The Plant Cell. 37(1). 1 indexed citations

Liu, Xiang, et al.. (2023). Agrobacterial Transformation Enhancement by Improved Competent Cell Preparation and Optimized Electroporation. Life. 13(11). 2217–2217. 3 indexed citations

Wang, Po-Hao, et al.. (2020). Transcription Terminator-Mediated Enhancement in Transgene Expression in Maize: Preponderance of the AUGAAU Motif Overlapping With Poly(A) Signals. Frontiers in Plant Science. 11. 570778–570778. 13 indexed citations

Fishilevich, Elane, Andrew J. Bowling, Po-Hao Wang, et al.. (2018). RNAi targeting of rootworm Troponin I transcripts confers root protection in maize. Insect Biochemistry and Molecular Biology. 104. 20–29. 21 indexed citations

Lee, Tzuu‐fen, Weiya Xue, Yinping Jiao, et al.. (2018). The Dominant and Poorly Penetrant Phenotypes of Maize Unstable factor for orange1 Are Caused by DNA Methylation Changes at a Linked Transposon. The Plant Cell. 30(12). 3006–3023. 23 indexed citations

Wang, Po-Hao, et al.. (2018). RNase If -treated quantitative PCR for dsRNA quantitation of RNAi trait in genetically modified crops. BMC Biotechnology. 18(1). 3–3. 8 indexed citations

Sidorenko, Lyudmila, Tzuu‐fen Lee, William A. Moskal, et al.. (2017). GC-rich coding sequences reduce transposon-like, small RNA-mediated transgene silencing. Nature Plants. 3(11). 875–884. 31 indexed citations

Gupta, Manju, Pudota B. Bhaskar, Shreedharan Sriram, & Po-Hao Wang. (2016). Integration of omics approaches to understand oil/protein content during seed development in oilseed crops. Plant Cell Reports. 36(5). 637–652. 53 indexed citations

10.

Wang, Po-Hao, et al.. (2009). Gene Structure Induced Epigenetic Modifications of pericarp color1 Alleles of Maize Result in Tissue-Specific Mosaicism. PLoS ONE. 4(12). e8231–e8231. 16 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.

Explore authors with similar magnitude of impact