Ge Ding

542 total citations
9 papers, 289 citations indexed

About

Ge Ding is a scholar working on Plant Science, Pharmacology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ge Ding has authored 9 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Plant Science, 3 papers in Pharmacology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ge Ding's work include Biological and pharmacological studies of plants (3 papers), Plant and animal studies (3 papers) and Plant Stress Responses and Tolerance (2 papers). Ge Ding is often cited by papers focused on Biological and pharmacological studies of plants (3 papers), Plant and animal studies (3 papers) and Plant Stress Responses and Tolerance (2 papers). Ge Ding collaborates with scholars based in China, United States and Canada. Ge Ding's co-authors include Xiaoyu Ding, Xuexia Li, Qi Zhou, Hongying Yi, Ji‐Ming Gong, Jia‐Shi Peng, Shuan Meng, Dai-Zhen Zhang, Weichao Zhang and Jie Shen and has published in prestigious journals such as Nucleic Acids Research, Plant Cell & Environment and Agronomy Journal.

In The Last Decade

Ge Ding

9 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ge Ding China	7	159	122	100	96	66	9	289
Chuan‐Ming Yeh Taiwan	11	414 2.6×	214 1.8×	21 0.2×	59 0.6×	12 0.2×	17	500
Dianyun Hou China	13	309 1.9×	218 1.8×	19 0.2×	27 0.3×	41 0.6×	45	479
İlker Büyük Türkiye	13	388 2.4×	192 1.6×	16 0.2×	70 0.7×	8 0.1×	54	510
Zacharias Kypriotakis Greece	11	246 1.5×	90 0.7×	60 0.6×	56 0.6×	36 0.5×	18	381
Junxu Xu China	13	353 2.2×	146 1.2×	29 0.3×	58 0.6×	14 0.2×	20	459
Kabir Md Alamgir Japan	9	299 1.9×	220 1.8×	65 0.7×	86 0.9×	12 0.2×	9	495
Tuba Acet Türkiye	9	399 2.5×	179 1.5×	19 0.2×	21 0.2×	15 0.2×	23	499
Kheta Ram India	10	341 2.1×	378 3.1×	23 0.2×	54 0.6×	20 0.3×	14	434
Peipei Wei China	14	439 2.8×	252 2.1×	29 0.3×	19 0.2×	20 0.3×	32	565
Alexey М. Afonin Russia	11	240 1.5×	98 0.8×	37 0.4×	8 0.1×	13 0.2×	45	386

Countries citing papers authored by Ge Ding

Since Specialization

Citations

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

Fields of papers citing papers by Ge Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Ding

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

9 of 9 papers shown

Li, Shuyu, Ge Ding, Jie Xiong, et al.. (2021). Transcriptome analysis of cadmium‐treated Brassica varieties reveals different expression pattern. Agronomy Journal. 113(2). 943–955. 4 indexed citations

Zhao, Yongheng, Chengjiang Ruan, Ge Ding, & Kenneth Mopper. (2017). Genetic relationships in a germplasm collection of Camellia japonica and Camellia oleifera using SSR analysis. Genetics and Molecular Research. 16(1). 15 indexed citations

Peng, Jia‐Shi, Ge Ding, Shuan Meng, Hongying Yi, & Ji‐Ming Gong. (2017). Enhanced metal tolerance correlates with heterotypic variation in SpMTL, a metallothionein‐like protein from the hyperaccumulator Sedum plumbizincicola. Plant Cell & Environment. 40(8). 1368–1378. 59 indexed citations

Ding, Jian, Chengjiang Ruan, Youmei Bao, et al.. (2015). Analysis of genetic relationships in sea buckthorn (Hippophae rhamnoides) germplasm from China and other countries using ISSR markers. The Journal of Horticultural Science and Biotechnology. 90(6). 599–606. 7 indexed citations

Li, Yun, Pei Hao, Siyuan Zheng, et al.. (2008). Gene expression module-based chemical function similarity search. Nucleic Acids Research. 36(20). e137–e137. 21 indexed citations

Ding, Ge, Dai-Zhen Zhang, Xiaoyu Ding, et al.. (2008). Genetic variation and conservation of the endangered Chinese endemic herb Dendrobium officinale based on SRAP analysis. Plant Systematics and Evolution. 276(3-4). 149–156. 56 indexed citations

Li, Xuexia, et al.. (2007). Genetic diversity analysis and conservation of the endangered Chinese endemic herb Dendrobium officinale Kimura et Migo (Orchidaceae) based on AFLP. Genetica. 133(2). 159–166. 76 indexed citations

Shen, Jie, et al.. (2006). Intersimple Sequence Repeats (ISSR) Molecular Fingerprinting Markers for Authenticating Populations of Dendrobium officinale KIMURA et MIGO. Biological and Pharmaceutical Bulletin. 29(3). 420–422. 46 indexed citations

Duc, Gérard, et al.. (1999). Single gene mutation for green cotyledons as a marker for the embryonic genotype in faba bean, Vicia faba. Plant Breeding. 118(6). 577–578. 5 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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