I‐Ping Yang

836 citations
23 papers · 695 · h-index 14

Impact in

Papers in

    • Circular RNAs in diseases 8
    • Metabolism, Diabetes, and Cancer 3
    • Cancer-related molecular mechanisms research 10
    • MicroRNA in disease regulation 9

I‐Ping Yang

23 papers receiving 684 citations

Peers

I‐Ping Yang
Comparison fields: 5 of 72
  • Cancer Research 318
  • Endocrine and Autonomic Systems 66
  • Oncology 193
  • Molecular Biology 419
  • Biological Psychiatry 15
Replace Brittany K. Matlock with:
Brittany K. Matlock United States
Ken C. Walls United States
Min-Liang Si United States
Natarajan Mohan United States
Kewen Zhou China
Wanfu Wu United States
Saori Toyoda Japan
Evan E. Santo United States
I‐Ping Yang relative to Brittany K. Matlock United States Brittany K. Matlock's profile →
Citations per field
00.5×3.8×
Brittany K. Matlock · 1×
Citations per year

Countries citing papers authored by I‐Ping Yang

Since Specialization
Citations

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

Fields of papers citing papers by I‐Ping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Ping Yang. 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 I‐Ping Yang. The network helps show where I‐Ping Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007122
2 201277
3 201256
4 201354
5 201347
6 201645
7 201340
8 201636
9 201636
10 201935
11 201228
12 201021
13 201217
14 201916
15 201412
16 201312
17
Decreased peritherapeutic VEGF expression could be a predictor of responsiveness to first-line FOLFIRI plus bevacizumab in mCRC patients.
201512
18 202211
19 20239
20 20125

About I‐Ping Yang

I‐Ping Yang is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 695 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (8 papers), Colorectal Cancer Treatments and Studies (6 papers), Colorectal Cancer Surgical Treatments (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Genetic factors in colorectal cancer (3 papers) and Gastric Cancer Management and Outcomes (3 papers). The work is most often cited by research in Cancer Research (318 citations), Endocrine and Autonomic Systems (66 citations), Oncology (193 citations), Molecular Biology (419 citations) and Biological Psychiatry (15 citations). I‐Ping Yang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Jaw‐Yuan Wang, Suh‐Hang Hank Juo, Hsiang‐Lin Tsai, Ching‐Wen Huang, Hsiang‐Lin Tsai, Pei‐Chien Tsai, Ming‐Feng Hou, Zhi‐Feng Miao, Chien‐Yu Lu and Yung‐Sung Yeh. Their work appears in journals such as PLoS ONE, Journal of Pineal Research, Cancer Biomarkers, Translational research and European Journal of Cancer.

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.

Explore authors with similar magnitude of impact