I‐Ching Wang
Impact in
- Aging top 2%
- Molecular Biology top 2%
- FOXO transcription factor regulation
- Circular RNAs in diseases
- Signaling Pathways in Disease
Papers in
-
- FOXO transcription factor regulation 29
- Circular RNAs in diseases 5
- Cell death mechanisms and regulation 4
- Renal and related cancers 4
- Epigenetics and DNA Methylation 4
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- Cancer-related molecular mechanisms research 4
- Co-authors
- Robert H. Costa (12 shared papers)Vladimir V. Kalinichenko (21 shared papers)Michael L. Major (6 shared papers)Timothy Ackerson (6 shared papers)Tanya V. Kalin (12 shared papers)Douglas E. Hughes (3 shared papers)Vladimír Petrovič (3 shared papers)Helena M. Yoder (4 shared papers)
- Journals
- Developmental Biology (4 papers)Oncogene (3 papers)PLoS ONE (3 papers)Cancer Research (3 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
I‐Ching Wang
43 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Aging 98
- Molecular Biology 2.7k
- Cancer Research 494
- Pathology and Forensic Medicine 497
- Cell Biology 348
Countries citing papers authored by I‐Ching Wang
This map shows the geographic impact of I‐Ching Wang'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‐Ching Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Ching Wang more than expected).
Fields of papers citing papers by I‐Ching Wang
This network shows the impact of papers produced by I‐Ching Wang. 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‐Ching Wang. The network helps show where I‐Ching Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Ching Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Forkhead Box M1 Regulates the Transcriptional Network of Genes Essential for Mitotic Progression and Genes Encoding the SCF (Skp2-Cks1) Ubiquitin Ligase Hit paper breakdown → | 2005 | 538 |
| 2 | 2006 | 284 | |
| 3 | 2006 | 232 | |
| 4 | 2000 | 221 | |
| 5 | 2006 | 191 | |
| 6 | 2004 | 176 | |
| 7 | 2006 | 144 | |
| 8 | 2013 | 141 | |
| 9 | 2007 | 135 | |
| 10 | 2006 | 131 | |
| 11 | 2008 | 114 | |
| 12 | 2003 | 93 | |
| 13 | 2013 | 70 | |
| 14 | 2011 | 68 | |
| 15 | 2017 | 67 | |
| 16 | 2008 | 67 | |
| 17 | 2009 | 63 | |
| 18 | 2007 | 63 | |
| 19 | 2008 | 62 | |
| 20 | 2010 | 60 |
About I‐Ching Wang
I‐Ching Wang is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Health, Toxicology and Mutagenesis and Surgery, having authored 44 papers that have together received 3.4k indexed citations. Recurring topics across this work include FOXO transcription factor regulation (29 papers), Cancer Mechanisms and Therapy (6 papers), Circular RNAs in diseases (5 papers), Toxic Organic Pollutants Impact (4 papers), Cell death mechanisms and regulation (4 papers), Renal and related cancers (4 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Aging (98 citations), Molecular Biology (2.7k citations), Cancer Research (494 citations), Pathology and Forensic Medicine (497 citations) and Cell Biology (348 citations). I‐Ching Wang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Robert H. Costa, Vladimir V. Kalinichenko, Michael L. Major, Timothy Ackerson, Tanya V. Kalin, Douglas E. Hughes, Vladimír Petrovič, Helena M. Yoder, Show‐Mei Chuang and Jia‐Ling Yang. Their work appears in journals such as Developmental Biology, Oncogene, PLoS ONE, Cancer Research and Molecular and Cellular Biology.
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.