Jie Tian

3.7k citations
63 papers · 2.9k indexed · 3 hit papers · h-index 24

Jie Tian

59 papers receiving 2.8k citations

Hit Papers

Radiomics of Multiparametric MRI for Pretreatment Predict...3542017202620202023100200300400

Peers

Jie Tian
Comparison fields: 5 of 138
  • Health Informatics 103
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Oncology 597
  • Biomaterials 248
  • Biomedical Engineering 675
Replace Alexander R. Guimarães with:
Alexander R. Guimarães United States
Raymond Y. Huang United States
James P.B. O’Connor United Kingdom
Brett Marinelli United States
Luitpold Distel Germany
Brent D. Weinberg United States
Yikai Xu China
Tessa Buckle Netherlands
Farid Jalali Canada
Virendra Kumar India
Jie Tian relative to Alexander R. Guimarães United States Alexander R. Guimarães's profile →
Citations per field
00.5×4.0×
Alexander R. Guimarães · 1×
Citations per year

Countries citing papers authored by Jie Tian

Since Specialization
Citations

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

Fields of papers citing papers by Jie Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20254
4 20241
5 20248
6 20242
7 202111
8 202134
9 2020339
10
Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Studybreakdown →
2019354
11 201919
12 201942
13
Ferritin Nanocarrier Traverses the Blood Brain Barrier and Kills Gliomabreakdown →
2018315
14
Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancerbreakdown →
2017425
15 20154
16 201511
17 201575
18 200718
19 200019
20 199891

About Jie Tian

Jie Tian is a scholar working on Radiology, Nuclear Medicine and Imaging, Toxicology and Hepatology, having authored 63 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), RNA Interference and Gene Delivery (8 papers), Medical Imaging Techniques and Applications (5 papers), Luminescence Properties of Advanced Materials (5 papers), Virus-based gene therapy research (4 papers), Colorectal Cancer Surgical Treatments (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Health Informatics (103 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Oncology (597 citations). Jie Tian has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Zhenyu Liu, Zhenchao Tang, Yan‐Jie Shi, Ying‐Shi Sun, Xiao-Ting Li, Kun Wang, Shuo Wang, Haitao Zhu, Xiaoyan Zhang and Lin Wang. Their work appears in journals such as Journal of Biological Chemistry, ACS Nano and Advanced Functional Materials.

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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