Tiejun Yin

403 citations
20 papers · 305 · h-index 8

Impact in

Papers in

Tiejun Yin

18 papers receiving 304 citations

Peers

Tiejun Yin
Comparison fields: 5 of 59
  • Geriatrics and Gerontology 13
  • Cancer Research 47
  • Oncology 69
  • Molecular Biology 160
  • Pulmonary and Respiratory Medicine 58
Replace Victoria Heredia-Soto with:
Victoria Heredia-Soto Spain
Hong‐Beom Park South Korea
Mitsuyo Yoshida Japan
Jiamin Zhu China
Kazunori Tokuda Japan
Jade Peres South Africa
Ok‐Hee Kim South Korea
Liangliang Xu Hong Kong
Yaqi Cheng China
Sweta Parik Belgium
Tiejun Yin relative to Victoria Heredia-Soto Spain Victoria Heredia-Soto's profile →
Citations per field
00.5×7.4×
Victoria Heredia-Soto · 1×
Citations per year

Countries citing papers authored by Tiejun Yin

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201570
2 201346
3 201041
4 201537
5 201428
6 200823
7 201918
8 20207
9 20186
10 20166
11 20246
12 20235
13 20144
14
[Diagnosis and prognosis of ovarian epithelial tumor with morphometry].
20023
15 20212
16 20241
17 20071
18
[Correlation of aquaporin 1 with hypoxia-inducible factor 1 in breast cancer].
20081
19 20220
20 20180

About Tiejun Yin

Tiejun Yin is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Immunology and Cancer Research, having authored 20 papers that have together received 305 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), HER2/EGFR in Cancer Research (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Urologic and reproductive health conditions (1 paper), FOXO transcription factor regulation (1 paper), Protein Degradation and Inhibitors (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Geriatrics and Gerontology (13 citations), Cancer Research (47 citations), Oncology (69 citations), Molecular Biology (160 citations) and Pulmonary and Respiratory Medicine (58 citations). Tiejun Yin has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Rong Zhou, Kongming Wu, Xun Yuan, Na Han, Hanxiao Xu, Cuntai Zhang, Yu Liu, Shiying Yu, Yajun Liang and Shunfang Liu. Their work appears in journals such as Journal of Clinical Oncology, Medicine, Oxidative Medicine and Cellular Longevity, Frontiers in Microbiology and Cancer Chemotherapy and Pharmacology.

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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