Dabao Zhang

2.5k citations
43 papers · 913 indexed · 1 hit paper · h-index 14
Topics
Statistical Methods and Inference (8 papers)Metabolomics and Mass Spectrometry Studies (7 papers)Gene expression and cancer classification (7 papers)

In The Last Decade

Dabao Zhang

41 papers receiving 887 citations

Hit Papers

A Coefficient of Determination for Generalized Linear Models2016202620192022201650100150200250

Peers

Dabao Zhang
Comparison fields: 5 of 173
  • Molecular Biology 276
  • Genetics 111
  • Spectroscopy 110
  • Plant Science 78
  • Physiology 65
Replace Benoît Liquet with:
Benoît Liquet France
S. Stanley Young United States
Emil Spjøtvoll Norway
Mohieddin Jafari Iran
Claudia Angelini Italy
Alan R. Dabney United States
Tatiana Benaglia Brazil
Dmitry Kobak Germany
Derek S. Young United States
Stefano Young United States
Dabao Zhang relative to Benoît Liquet France Benoît Liquet's profile →
Citations per field
00.5×6.9×
Benoît Liquet · 1×
Citations per year

Countries citing papers authored by Dabao Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dabao Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dabao Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Dabao Zhang. A scholar is included among the top collaborators of Dabao Zhang 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 Dabao Zhang. Dabao Zhang 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 3
2 2
3 8
4 6
5 10
6
A Coefficient of Determination for Generalized Linear Modelsbreakdown →
299
7 14
8 41
9 1
10 4
11 2
12 11
13 13
14 5
15 35
16 3
17 22
18 34
19 10
20 92

About Dabao Zhang

Dabao Zhang is a scholar working on Statistics and Probability, Biological Psychiatry and Genetics, having authored 43 papers that have together received 913 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Gene expression and cancer classification (7 papers). The work is most often cited by research in Virology (50 citations), Statistics and Probability (59 citations) and Spectroscopy (110 citations). Dabao Zhang has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Martin T. Wells, Min Zhang, Fred E. Regnier, Min Zhang, Xiaodong Huang, Liang Peng, Seth W. Perry, Stephen Dewhurst, Harris A. Gelbard and Yanzhu Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and The Journal of Immunology.

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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