Kaiming Cao

811 total citations
28 papers, 652 citations indexed

About

Kaiming Cao is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Kaiming Cao has authored 28 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Plant Science and 3 papers in Immunology. Recurrent topics in Kaiming Cao's work include Plant Molecular Biology Research (8 papers), Photosynthetic Processes and Mechanisms (6 papers) and Plant Gene Expression Analysis (5 papers). Kaiming Cao is often cited by papers focused on Plant Molecular Biology Research (8 papers), Photosynthetic Processes and Mechanisms (6 papers) and Plant Gene Expression Analysis (5 papers). Kaiming Cao collaborates with scholars based in China, United States and France. Kaiming Cao's co-authors include Xiping Wang, Wen‐Hui Shen, Aiwu Dong, Huaishun Shen, Chongrong Sun, Olivier Pichon, Jean‐Pierre Renou, Yan Zhu, Yan Zhu and Denise Meyer and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and Biochemical and Biophysical Research Communications.

In The Last Decade

Kaiming Cao

28 papers receiving 640 citations

Peers

Kaiming Cao
Comparison fields: 5 of 68
  • Molecular Biology 514
  • Plant Science 425
  • Biotechnology 58
  • Cell Biology 36
  • Immunology 21
Replace Georgina E. Drury with:
Georgina E. Drury United Kingdom
Dmitry A. Belostotsky United States
Sharon K. Marr United States
Marisa Müller Germany
Josep Vilardell Spain
Yasuko Tomo Japan
Dennis A. Schaff United States
Esmeralda Woestenenk Sweden
Goro Terai Japan
Е. В. Дейнеко Russia
Georgina E. Drury United Kingdom View profile →
Citations per field, relative to Kaiming Cao
Kaiming Cao · 1×
Citations per year, relative to Kaiming Cao
Kaiming Cao · 1×

Countries citing papers authored by Kaiming Cao

Since Specialization
Citations

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

Fields of papers citing papers by Kaiming Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiming Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiming Cao. A scholar is included among the top collaborators of Kaiming Cao 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 Kaiming Cao. Kaiming Cao 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 6
2 42
3 41
4 6
5 9
6 52
7 14
8
OsCOI1, a Putative COI1 in Rice, Show MeJA and ABA Dependent Expression
4
9 11
10 7
11 39
12 32
13 28
14
Molecular Cloning and Analysis of Nucleotide Binding Site Homologues in Oryza rufipogon
1
15
Cloning and expression of a new MADS-box gene from rice
1
16 13
17 1
18
Cloning and Structure Analysis of rbcS Gene from Wild Soybean
2
19
Identification of A Ribonucleoprotein Gene from Rice Seedlings
1
20 30

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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