Yi Cai

2.0k citations
62 papers · 1.2k · h-index 22

Impact in

    • Tuberculosis Research and Epidemiology
    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
  • Immunology top 10%
    • Immune Cell Function and Interaction

Papers in

Yi Cai

60 papers receiving 1.2k citations

Peers

Yi Cai
Comparison fields: 5 of 92
  • Infectious Diseases 477
  • Immunology 240
  • Cancer Research 134
  • Epidemiology 260
  • Molecular Biology 477
Replace Sugata Roy with:
Sugata Roy South Africa
Smriti Mehra United States
Lele Zhu United States
Daniel J. Slade United States
Yong‐Joon Chwae South Korea
Fiachra Humphries United States
Kara L. Conway United States
René Daniel United States
Yao Chang Taiwan
Ai‐Yu Gong United States
Yi Cai relative to Sugata Roy South Africa Sugata Roy's profile →
Citations per field
00.5×11×
Sugata Roy · 1×
Citations per year

Countries citing papers authored by Yi Cai

Since Specialization
Citations

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

Fields of papers citing papers by Yi Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yi Cai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yi Cai Line = papers co-authored together Yi Cai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020104
2 201492
3 202089
4 201648
5 201846
6 202044
7 201441
8 201638
9 201937
10 202037
11 202337
12 202236
13 202035
14 200935
15 202032
16 201630
17 201228
18 201425
19 200925
20 201524

About Yi Cai

Yi Cai is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Immunology and Surgery, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (28 papers), Mycobacterium research and diagnosis (8 papers), Diagnosis and treatment of tuberculosis (6 papers), Immune Cell Function and Interaction (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Insect Resistance and Genetics (4 papers), Autophagy in Disease and Therapy (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Infectious Diseases (477 citations), Immunology (240 citations), Cancer Research (134 citations), Epidemiology (260 citations) and Molecular Biology (477 citations). Yi Cai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xinchun Chen, Qianting Yang, Carl G. Feng, Jiubiao Guo, Dachuan Lin, Guofang Deng, Youchao Dai, Boping Zhou, Jialou Zhu and Mingxia Zhang. Their work appears in journals such as mBio, Tuberculosis, mSphere, Scientific Reports and Thorax.

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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