Rui Dong

4.2k total citations · 1 hit paper
50 papers, 1.9k citations indexed

About

Rui Dong is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Rui Dong has authored 50 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Immunology and 12 papers in Plant Science. Recurrent topics in Rui Dong's work include Plant Molecular Biology Research (8 papers), Salmonella and Campylobacter epidemiology (5 papers) and Immune Cell Function and Interaction (4 papers). Rui Dong is often cited by papers focused on Plant Molecular Biology Research (8 papers), Salmonella and Campylobacter epidemiology (5 papers) and Immune Cell Function and Interaction (4 papers). Rui Dong collaborates with scholars based in China, United States and Japan. Rui Dong's co-authors include Pietro De Camilli, Louise Lucast, Yasunori Saheki, J. Wade Harper, Sharan Swarup, Ronald D. Vale, Xiaorong Zhang, Xiaodong Xia, Yifei Chen and Chao Shi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Rui Dong

49 papers receiving 1.9k citations

Hit Papers

Tuning the Antigen Density Requirement for CAR T-cell Act... 2020 2026 2022 2024 2020 100 200 300

Peers

Rui Dong
Comparison fields: 5 of 112
  • Molecular Biology 813
  • Plant Science 513
  • Oncology 396
  • Cell Biology 247
  • Immunology 241
Replace Tianyuan Zhang with:
Tianyuan Zhang China
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Xuezhi Bi Singapore
Jianqing Yu China
Qi Su China
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Anabelle Decottignies Belgium
Ning Ma China
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Tianyuan Zhang China View profile →
Citations per field, relative to Rui Dong
Rui Dong · 1×
Citations per year, relative to Rui Dong
Rui Dong · 1×

Countries citing papers authored by Rui Dong

Since Specialization
Citations

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

Fields of papers citing papers by Rui Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Dong. A scholar is included among the top collaborators of Rui Dong 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 Rui Dong. Rui Dong 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 2
3 1
4 1
5 35
6 7
7 48
8 44
9
Tuning the Antigen Density Requirement for CAR T-cell Activity breakdown →
319
10 4
11 14
12 3
13 19
14 8
15 23
16 110
17 83
18 165
19
Prevention of co-stimulation molecule expression using intracellular CTLA4: A novel strategy for induction of T cell anergy
1
20 27

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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