Tingyan Shi

2.0k citations
55 papers · 861 indexed · 2 hit papers · h-index 16

Impact in

Papers in

Tingyan Shi

54 papers receiving 855 citations

Hit Papers

Rational multienzyme architecture design with iMARS 2025 · 15 citations
1520212026202220244080120

Peers

Tingyan Shi
Comparison fields: 5 of 89
  • Reproductive Medicine 259
  • Cancer Research 212
  • Obstetrics and Gynecology 83
  • Oncology 214
  • Molecular Biology 371
Replace Ilary Ruscito with:
Ilary Ruscito Italy
Ilze Štrumfa Latvia
Je Ho Lee South Korea
Ross S. Berkowitz United States
Stacey N. Akers United States
Shinichi Komiyama Japan
Kazunobu Sueyoshi Japan
Hualin Chen China
Laureano Simón Spain
Alessandra Filosa Italy
Tingyan Shi relative to Ilary Ruscito Italy Ilary Ruscito's profile →
Citations per field
00.5×1.5×2.2×
Ilary Ruscito · 1×
Citations per year

Countries citing papers authored by Tingyan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Tingyan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Rational multienzyme architecture design with iMARS
Hit paper breakdown →
202515
2 20251
3 202416
4 20248
5 20243
6 202414
7 20245
8 20244
9 20239
10 20232
11 202328
12
Secondary cytoreduction followed by chemotherapy versus chemotherapy alone in platinum-sensitive relapsed ovarian cancer (SOC-1): a multicentre, open-label, randomised, phase 3 trial
Hit paper breakdown →
2021131
13 20196
14 20187
15 201810
16 201712
17 20145
18 201313
19 201225
20 20106

About Tingyan Shi

Tingyan Shi is a scholar working on Reproductive Medicine, Cancer Research, Obstetrics and Gynecology, Molecular Biology and Oncology, having authored 55 papers that have together received 861 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (15 papers), DNA Repair Mechanisms (7 papers), Intraperitoneal and Appendiceal Malignancies (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer-related molecular mechanisms research (5 papers), Endometrial and Cervical Cancer Treatments (5 papers), Genetic factors in colorectal cancer (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Reproductive Medicine (259 citations), Cancer Research (212 citations), Obstetrics and Gynecology (83 citations), Oncology (214 citations) and Molecular Biology (371 citations). Tingyan Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qingyi Wei, Rongyu Zang, Jing He, Sheng Yin, Xi Cheng, Mengyun Wang, Rong Jiang, Huixun Jia, Dongsheng Tu and Huijuan Yang. Their work appears in journals such as Oncotarget, Carcinogenesis, Journal of Clinical Oncology, Journal of Cancer and OncoTargets and Therapy.

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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