Hua Mo

1.9k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Hua Mo is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Hua Mo has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 3 papers in Molecular Biology and 3 papers in Agronomy and Crop Science. Recurrent topics in Hua Mo's work include Genetics and Plant Breeding (4 papers), Plant Molecular Biology Research (3 papers) and Plant nutrient uptake and metabolism (3 papers). Hua Mo is often cited by papers focused on Genetics and Plant Breeding (4 papers), Plant Molecular Biology Research (3 papers) and Plant nutrient uptake and metabolism (3 papers). Hua Mo collaborates with scholars based in United States, Australia and Chile. Hua Mo's co-authors include Jeffrey E. Habben, H.R. Lafïtte, Jinrui Shi, Hongyu Wang, Huirong Gao, Meizhu Yang, Jeffrey R. Schussler, Jason DeBruin, Mark Cooper and R. Lafitte and has published in prestigious journals such as The Plant Journal, Plant Molecular Biology and Field Crops Research.

In The Last Decade

Hua Mo

12 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ARGOS8 variants generated by CRISPR‐Cas9 improve maize grain yield under field drought stress conditions

2016 604 citations Jinrui Shi, Huirong Gao et al. Plant Biotechnology Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hua Mo United States	7	888	644	169	135	106	12	1.1k
Gothandapani Sellamuthu India	11	422 0.5×	317 0.5×	27 0.2×	60 0.4×	34 0.3×	29	598
Elise J. Tucker Australia	15	927 1.0×	642 1.0×	47 0.3×	127 0.9×	23 0.2×	17	1.0k
Caroline Bournaud France	14	574 0.6×	349 0.5×	76 0.4×	24 0.2×	31 0.3×	15	799
Inga Schmalenbach Germany	8	668 0.8×	291 0.5×	58 0.3×	265 2.0×	17 0.2×	8	724
Kerry Swartwood United States	4	491 0.6×	398 0.6×	45 0.3×	116 0.9×	30 0.3×	5	625
Peter E. Wittich Netherlands	12	777 0.9×	606 0.9×	56 0.3×	99 0.7×	29 0.3×	18	920
Reynante Lacsamana Ordonio Japan	15	546 0.6×	237 0.4×	154 0.9×	204 1.5×	25 0.2×	19	685
Xiujuan Su United States	8	868 1.0×	418 0.6×	65 0.4×	176 1.3×	36 0.3×	9	992
Qingzhen Jiang United States	15	711 0.8×	380 0.6×	129 0.8×	92 0.7×	35 0.3×	21	830
Kanako Kawaura Japan	20	1.5k 1.7×	556 0.9×	191 1.1×	209 1.5×	34 0.3×	44	1.6k

Countries citing papers authored by Hua Mo

Since Specialization

Citations

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

Fields of papers citing papers by Hua Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Mo. A scholar is included among the top collaborators of Hua Mo 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 Hua Mo. Hua Mo 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:

12 of 12 papers shown

1.

Coles, Nathan D., Hua Mo, Jeffrey E. Habben, et al.. (2024). Transgene effects vary among maize populations with implications for improving quantitative traits. Crop Science. 65(1). 1 indexed citations

2.

Mo, Hua, et al.. (2024). Utilizing Remote Sensing to Quantify the Performance of Soybean Insecticide Seed Treatments. Agronomy. 14(2). 340–340. 1 indexed citations

3.

Coles, Nathan D., Hua Mo, Jeffrey E. Habben, et al.. (2023). Methods for evaluating effects of transgenes for quantitative traits. Crop Science. 64(1). 141–148. 2 indexed citations

4.

Schussler, Jeffrey R., Ben Weers, Jingrui Wu, et al.. (2022). Novel Genetic Variation Through Altered zmm28 Expression Improves Maize Performance Under Abiotic Stress. Field Crops Research. 281. 108486–108486. 5 indexed citations

5.

Habben, Jeffrey E., Guangwu Chen, Min Liu, et al.. (2020). Knockouts of Drought Sensitive Genes Improve Rice Grain Yield under both Drought and Well-Watered Field Conditions. Advances in Crop Science and Technology. 4 indexed citations

6.

Wang, Changgui, Yang Gao, Jeffrey E. Habben, et al.. (2019). A cytokinin-activation enzyme-like gene improves grain yield under various field conditions in rice. Plant Molecular Biology. 102(4-5). 373–388. 54 indexed citations

7.

Fengler, Kevin, John L. Van Hemert, Rajeev Gupta, et al.. (2019). Identification and characterization of a novel stay‐green QTL that increases yield in maize. Plant Biotechnology Journal. 17(12). 2272–2285. 58 indexed citations

8.

Anand, Ajith, Steven Bass, Emily Wu, et al.. (2018). An improved ternary vector system for Agrobacterium-mediated rapid maize transformation. Plant Molecular Biology. 97(1-2). 187–200. 95 indexed citations

9.

Shi, Jinrui, Bruce J. Drummond, Jeffrey E. Habben, et al.. (2018). Ectopic expression of ARGOS8 reveals a role for ethylene in root‐lodging resistance in maize. The Plant Journal. 97(2). 378–390. 29 indexed citations

10.

DeBruin, Jason, Jeffrey R. Schussler, Hua Mo, & Mark Cooper. (2017). Grain Yield and Nitrogen Accumulation in Maize Hybrids Released during 1934 to 2013 in the US Midwest. Crop Science. 57(3). 1431–1446. 79 indexed citations

11.

Shi, Jinrui, Huirong Gao, Hongyu Wang, et al.. (2016). ARGOS8 variants generated by CRISPR‐Cas9 improve maize grain yield under field drought stress conditions. Plant Biotechnology Journal. 15(2). 207–216. 604 indexed citations breakdown →

12.

Habben, Jeffrey E., Nicholas J. Bate, Jason DeBruin, et al.. (2014). Transgenic alteration of ethylene biosynthesis increases grain yield in maize under field drought‐stress conditions. Plant Biotechnology Journal. 12(6). 685–693. 156 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