Di Wang

2.4k total citations
94 papers, 1.7k citations indexed

About

Di Wang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Di Wang has authored 94 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 24 papers in Genetics and 21 papers in Cancer Research. Recurrent topics in Di Wang's work include RNA modifications and cancer (17 papers), Cancer-related molecular mechanisms research (16 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Di Wang is often cited by papers focused on RNA modifications and cancer (17 papers), Cancer-related molecular mechanisms research (16 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Di Wang collaborates with scholars based in China, United States and Philippines. Di Wang's co-authors include Baocheng Sun, Tianyu Wang, Zhizhai Liu, Yongxiang Li, Yunsu Shi, Cheng Liu, Bo Peng, Xianghui Zheng, Yang Wang and Jian Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and PLANT PHYSIOLOGY.

In The Last Decade

Di Wang

87 papers receiving 1.7k citations

Peers

Di Wang
Comparison fields: 5 of 121
  • Molecular Biology 974
  • Plant Science 499
  • Cancer Research 389
  • Genetics 376
  • Oncology 114
Replace Yi Jia with:
Yi Jia United States
Dennis W. Wolff United States
Min Jin China
Junmin Wang China
Hongjun Liu China
Ling Qiao China
Ying Hu United States
Zhiqiang Zhou China
Banu Gopalan United States
Yi Jia United States View profile →
Citations per field, relative to Di Wang
Di Wang · 1×
Citations per year, relative to Di Wang
Di Wang · 1×

Countries citing papers authored by Di Wang

Since Specialization
Citations

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

Fields of papers citing papers by Di Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Di Wang. A scholar is included among the top collaborators of Di 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 Di Wang. Di Wang 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 2
2 0
3 1
4 3
5 2
6 4
7 15
8 18
9 131
10 4
11 10
12 8
13
Relationship between preoperative serum thyrotropin(TSH) level and the nature of thyroid nodule
1
14
QTL Analysis of Ear Traits in Maize Across Multiple Environments
9
15
Correlation analysis and conditional QTL analysis of grain yield and yield components in maize.
5
16 9
17
QTL Analysis of Flowering-Related Traits in Maize (Zea mays L.) Using Two Connected Populations
4
18 34
19
Expression profiling of rice AP2/EREBP genes responsive to abiotic stresses.
5
20
Cloning and Prokaryotic Expression of glgC Gene of E. coli
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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