Ting Bei

587 citations
16 papers · 235 · h-index 7

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • PARP inhibition in cancer therapy 2
    • DNA Repair Mechanisms 1

Ting Bei

14 papers receiving 234 citations

Peers

Ting Bei
Comparison fields: 5 of 40
  • Cancer Research 49
  • Oncology 82
  • Pulmonary and Respiratory Medicine 72
  • Immunology 30
  • Infectious Diseases 25
Replace Justine Decroocq with:
Justine Decroocq France
Samantha Armstrong United States
Qingsong Lei China
Gemma Caliendo Italy
Carolina Alves Costa Silva France
Tamara Caniego-Casas Spain
Qiaoqiao Huang China
Guangyu Sun China
Vishal Navani Canada
Manuel Sierra Montesinos Spain
Ting Bei relative to Justine Decroocq France Justine Decroocq's profile →
Citations per field
00.5×1.5×
Justine Decroocq · 1×
Citations per year

Countries citing papers authored by Ting Bei

Since Specialization
Citations

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

Fields of papers citing papers by Ting Bei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202170
2 202263
3 202134
4 202319
5 202210
6 20239
7 20238
8 20225
9 20224
10 20233
11 20233
12 20213
13 20223
14 20211
15 20210
16 20210

About Ting Bei

Ting Bei is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Immunology, having authored 16 papers that have together received 235 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Esophageal Cancer Research and Treatment (2 papers), PARP inhibition in cancer therapy (2 papers), Lung Cancer Treatments and Mutations (2 papers), DNA Repair Mechanisms (1 paper), Ferroptosis and cancer prognosis (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Cancer Research (49 citations), Oncology (82 citations), Pulmonary and Respiratory Medicine (72 citations), Immunology (30 citations) and Infectious Diseases (25 citations). Ting Bei has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Xiaochen Zhao, Yuezong Bai, Shiqing Chen, Bei Zhang, Fengxia Ma, Dongsheng Yue, Julia R. Köhler, Apurva Kanneganti, Xiaoyu Zhang and Jiajia Li. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Immunology, International Journal of Cancer, Clinical Cancer Research and Frontiers in Oncology.

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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