Tingting Jiang
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Co-authors
- Yuval KlugerAlexander CloningerJared KatzmanUri ShahamJonathan BatesWen XueZhiping WengXiao‐Ou Zhang
- Topics
- Cancer Genomics and Diagnostics (20 papers)Reproductive tract infections research (9 papers)Adipose Tissue and Metabolism (7 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Tingting Jiang
108 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 1.4k
- Oncology 632
- Cancer Research 590
- Pulmonary and Respiratory Medicine 441
- Artificial Intelligence 432
Countries citing papers authored by Tingting Jiang
This map shows the geographic impact of Tingting Jiang'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 Tingting Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingting Jiang more than expected).
Fields of papers citing papers by Tingting Jiang
This network shows the impact of papers produced by Tingting Jiang. 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 Tingting Jiang. The network helps show where Tingting Jiang may publish in the future.
Co-authorship network of co-authors of Tingting Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Jiang. A scholar is included among the top collaborators of Tingting Jiang 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 Tingting Jiang. Tingting Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural networkbreakdown → | 973 |
| 18 | 108 | |
| 19 | 26 | |
| 20 | [Analysis of dietary iron intakes of pregnant and lactating women based on food composition databases from China and US]. | 2 |
About Tingting Jiang
Tingting Jiang is a scholar working on Cancer Research, Microbiology and Physiology, having authored 128 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Reproductive tract infections research (9 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Cancer Research (590 citations), Oncology (632 citations) and Molecular Biology (1.4k citations). Tingting Jiang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuval Kluger, Alexander Cloninger, Jared Katzman, Uri Shaham, Jonathan Bates, Wen Xue, Zhiping Weng, Xiao‐Ou Zhang, Lajos Pusztai and Christos Hatzis. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.
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.