Maiying Kong
- Molecular Biology top 10%
- Pathology and Forensic Medicine top 2%
- Epidemiology top 5%
- Cancer Research top 5%
- Surgery top 10%
- Co-authors
- J. Jack LeeCraig J. McClainMaxwell BoakyeWenke FengLu CaiLeila GobejishviliBeatrice UgiliwenezaShirish Barve
- Topics
- Alcohol Consumption and Health Effects (15 papers)Liver Disease Diagnosis and Treatment (13 papers)Statistical Methods in Clinical Trials (10 papers)
- Journals
- Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Maiying Kong
119 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Molecular Biology 1.2k
- Pathology and Forensic Medicine 587
- Epidemiology 555
- Cancer Research 376
- Surgery 362
Countries citing papers authored by Maiying Kong
This map shows the geographic impact of Maiying Kong'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 Maiying Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maiying Kong more than expected).
Fields of papers citing papers by Maiying Kong
This network shows the impact of papers produced by Maiying Kong. 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 Maiying Kong. The network helps show where Maiying Kong may publish in the future.
Co-authorship network of co-authors of Maiying Kong
This figure shows the co-authorship network connecting the top 25 collaborators of Maiying Kong. A scholar is included among the top collaborators of Maiying Kong 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 Maiying Kong. Maiying Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Plant-nanoparticles enhance anti-PD-L1 efficacy by shaping human commensal microbiota metabolitesbreakdown → | 28 |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 40 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 15 | |
| 16 | 11 | |
| 17 | 38 | |
| 18 | 23 | |
| 19 | 4 | |
| 20 | 49 |
About Maiying Kong
Maiying Kong is a scholar working on Statistics and Probability, Applied Microbiology and Biotechnology and Pathology and Forensic Medicine, having authored 128 papers that have together received 3.2k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (15 papers), Liver Disease Diagnosis and Treatment (13 papers) and Statistical Methods in Clinical Trials (10 papers). The work is most often cited by research in Pathology and Forensic Medicine (587 citations), Biological Psychiatry (74 citations) and Cancer Research (376 citations). Maiying Kong has collaborated with scholars based in United States, China and Australia. Frequent co-authors include J. Jack Lee, Craig J. McClain, Maxwell Boakye, Wenke Feng, Lu Cai, Leila Gobejishvili, Beatrice Ugiliweneza, Shirish Barve, Swati Joshi‐Barve and Irina Kirpich. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.