Guihua Bai

16.7k total citations · 3 hit papers
323 papers, 10.4k citations indexed

About

Guihua Bai is a scholar working on Plant Science, Genetics and Cell Biology. According to data from OpenAlex, Guihua Bai has authored 323 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 305 papers in Plant Science, 74 papers in Genetics and 56 papers in Cell Biology. Recurrent topics in Guihua Bai's work include Wheat and Barley Genetics and Pathology (234 papers), Genetics and Plant Breeding (110 papers) and Plant Disease Resistance and Genetics (78 papers). Guihua Bai is often cited by papers focused on Wheat and Barley Genetics and Pathology (234 papers), Genetics and Plant Breeding (110 papers) and Plant Disease Resistance and Genetics (78 papers). Guihua Bai collaborates with scholars based in United States, China and Australia. Guihua Bai's co-authors include Gregory Shaner, Brett F. Carver, F. L. Kolb, Peiguo Guo, Jianming Yu, Amy Bernardo, Anne E. Desjardins, Ronald D. Plattner, Zhenqi Su and Shibin Cai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Guihua Bai

315 papers receiving 10.1k citations

Hit Papers

MANAGEMENT AND RESISTANCE IN WHEAT AND BARLEY TO FUSARIUM... 2004 2026 2011 2018 2004 2012 2019 200 400 600

Peers

Guihua Bai
Comparison fields: 5 of 137
  • Plant Science 9.6k
  • Cell Biology 2.5k
  • Genetics 2.4k
  • Molecular Biology 1.6k
  • Agronomy and Crop Science 1.2k
Viktor Korzun Germany
P. K. Singh India
Gary J. Muehlbauer United States
Marion S. Röder Germany
Perry B. Cregan United States
James B. Holland United States
Steven J. Knapp United States
Brian J. Steffenson United States
M. A. Saghai Maroof United States
Martin W. Ganal Germany
Viktor Korzun Germany View profile →
Citations per field, relative to Guihua Bai
Guihua Bai · 1×
Citations per year, relative to Guihua Bai
Guihua Bai · 1×

Countries citing papers authored by Guihua Bai

Since Specialization
Citations

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

Fields of papers citing papers by Guihua Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guihua Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Guihua Bai. A scholar is included among the top collaborators of Guihua Bai 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 Guihua Bai. Guihua Bai 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 0
2 1
3 10
4 3
5 8
6 1
7 1
8 2
9 39
10 13
11 2
12 25
13 66
14 10
15 35
16 8
17 48
18 22
19 28
20 28

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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2026