Degui Zhi

12.8k citations
131 papers · 3.8k indexed · 1 hit paper · h-index 33
Topics
Genetic Associations and Epidemiology (40 papers)Gene expression and cancer classification (16 papers)Epigenetics and DNA Methylation (16 papers)
Partner nations
United StatesChinaSpain

In The Last Decade

Degui Zhi

124 papers receiving 3.7k citations

Hit Papers

Med-BERT: pretrained contextualized embeddings on large-s...20212026202220242021100200300400

Peers

Degui Zhi
Comparison fields: 5 of 176
  • Molecular Biology 1.8k
  • Genetics 882
  • Artificial Intelligence 628
  • Epidemiology 321
  • Physiology 286
Replace Sharon L. R. Kardia with:
Sharon L. R. Kardia United States
Georgios V. Gkoutos United Kingdom
Mikael Lundin Finland
Sean D. Mooney United States
Ju Han Kim South Korea
Knut Liestøl Norway
Lynn M. Schriml United States
Catherine A. McCarty United States
Douglas J. Hartman United States
Degui Zhi relative to Sharon L. R. Kardia United States Sharon L. R. Kardia's profile →
Citations per field
00.5×3.0×
Sharon L. R. Kardia · 1×
Citations per year

Countries citing papers authored by Degui Zhi

Since Specialization
Citations

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

Fields of papers citing papers by Degui Zhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Degui Zhi

This figure shows the co-authorship network connecting the top 25 collaborators of Degui Zhi. A scholar is included among the top collaborators of Degui Zhi 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 Degui Zhi. Degui Zhi 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
#WorkIndexed citations
1 2
2 12
3 5
4 1
5 4
6 17
7 40
8 8
9 21
10 35
11 10
12 27
13 119
14 24
15 9
16 10
17 6
18 32
19 29
20 10

About Degui Zhi

Degui Zhi is a scholar working on Genetics, Health Informatics and Molecular Biology, having authored 131 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (40 papers), Gene expression and cancer classification (16 papers) and Epigenetics and DNA Methylation (16 papers). The work is most often cited by research in Health Informatics (104 citations), Health Information Management (173 citations) and Genetics (882 citations). Degui Zhi has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Cui Tao, Laila Rasmy, Ziqian Xie, Yang Xiang, Marguerite R. Irvin, Donna K. Arnett, Devin Absher, Lu Tang, Bijie Bie and Hemant K. Tiwari. Their work appears in journals such as Nucleic Acids Research, Circulation and Nature Communications.

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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