Guohua Ding

680 total citations
50 papers, 521 citations indexed

About

Guohua Ding is a scholar working on Molecular Biology, Global and Planetary Change and Plant Science. According to data from OpenAlex, Guohua Ding has authored 50 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Global and Planetary Change and 14 papers in Plant Science. Recurrent topics in Guohua Ding's work include Amphibian and Reptile Biology (17 papers), Animal Behavior and Reproduction (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Guohua Ding is often cited by papers focused on Amphibian and Reptile Biology (17 papers), Animal Behavior and Reproduction (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Guohua Ding collaborates with scholars based in China, Singapore and India. Guohua Ding's co-authors include Xiang Ji, Nicholas Franki, Richard M. Hays, John S. Condeelis, Xuchu Wang, Zhi‐Hua Lin, Yun Tang, Quanliang Xie, Huajie Feng and Xiaoli Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Guohua Ding

48 papers receiving 500 citations

Peers

Guohua Ding
Comparison fields: 5 of 95
  • Molecular Biology 219
  • Plant Science 140
  • Global and Planetary Change 104
  • Ecology, Evolution, Behavior and Systematics 87
  • Genetics 69
Replace Stefania Bucci with:
Stefania Bucci Italy
Chris W. Coppin Australia
Annette Roth United States
Gunter M. Rothe Germany
Nabil Mansour Egypt
DA Day Australia
Ming‐Ling Liao China
Robert N. Chapman United States
Stefania Bucci Italy View profile →
Citations per field, relative to Guohua Ding
Guohua Ding · 1×
Citations per year, relative to Guohua Ding
Guohua Ding · 1×

Countries citing papers authored by Guohua Ding

Since Specialization
Citations

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

Fields of papers citing papers by Guohua Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohua Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Guohua Ding. A scholar is included among the top collaborators of Guohua 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 Guohua Ding. Guohua Ding 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
# Work Indexed citations
1 1
2 1
3 3
4 1
5 0
6 3
7 2
8 3
9 13
10 11
11 4
12 10
13 5
14 30
15 4
16 28
17 12
18 1
19 16
20
Expression analysis of the resistance gene analog in cucumber by semi-quantitative RT-PCR.
1

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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