Tingting Jiang

5.6k citations
128 papers · 3.2k indexed · 1 hit paper · h-index 26

Tingting Jiang

108 papers receiving 3.2k citations

Hit Papers

DeepSurv: personalized treatment recommender system using...9732018202620202023250500750

Peers

Tingting Jiang
Comparison fields: 5 of 167
  • Cancer Research 590
  • Oncology 632
  • Molecular Biology 1.4k
  • Health Informatics 25
  • Radiology, Nuclear Medicine and Imaging 424
Replace Pingzhao Hu with:
Pingzhao Hu Canada
Zixian Wang China
Paolo Magni Italy
Hua Xu China
Ju Han Kim South Korea
Balasubramanian Narasimhan United States
Momiao Xiong United States
Kevin K. Dobbin United States
Chiang‐Ching Huang United States
Lana X. Garmire United States
Tingting Jiang relative to Pingzhao Hu Canada Pingzhao Hu's profile →
Citations per field
00.5×1.7×
Pingzhao Hu · 1×
Citations per year

Countries citing papers authored by Tingting Jiang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Tingting Jiang, 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 Tingting Jiang Line = papers co-authored together Tingting Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 202415
4 20241
5 20244
6 20241
7 20245
8 20240
9 20241
10 20234
11 20233
12 20234
13 20233
14 20228
15 20222
16 20203
17
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural networkbreakdown →
2018973
18 2017108
19 201626
20
[Analysis of dietary iron intakes of pregnant and lactating women based on food composition databases from China and US].
20142

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), Adipose Tissue and Metabolism (7 papers), Syphilis Diagnosis and Treatment (5 papers), CRISPR and Genetic Engineering (5 papers), Genetic factors in colorectal cancer (5 papers), RNA modifications and cancer (5 papers) and Nutrition and Health in Aging (5 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.

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