Hongcang Gu
- Molecular Biology top 0.2%
- Epigenetics and DNA Methylation 39
- RNA modifications and cancer 15
- Cancer-related gene regulation 13
- Genomics and Chromatin Dynamics 11
- Pluripotent Stem Cells Research 9
- CRISPR and Genetic Engineering 7
- Aging top 1%
- Genetics top 0.5%
- Genetic Syndromes and Imprinting 6
- Hematology top 1%
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 7
- Co-authors
- Alexander MeissnerAndreas GnirkeChristoph BockZachary D. SmithTarjei S. MikkelsenB BernsteinMichael J. ZillerEric S. Lander
- Cited by
- Molecular BiologyAgingGenetics
- Partner nations
- United StatesChinaGermany
In The Last Decade
Hongcang Gu
67 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 10.5k
- Aging 254
- Genetics 2.6k
- Hematology 1.0k
- Cancer Research 1.2k
Countries citing papers authored by Hongcang Gu
This map shows the geographic impact of Hongcang Gu'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 Hongcang Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongcang Gu more than expected).
Fields of papers citing papers by Hongcang Gu
This network shows the impact of papers produced by Hongcang Gu. 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 Hongcang Gu. The network helps show where Hongcang Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hongcang Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 31 | |
| 8 | 2022 | 17 | |
| 9 | 2020 | 8 | |
| 10 | 2018 | 28 | |
| 11 | 2018 | 52 | |
| 12 | 2017 | 1 | |
| 13 | 2016 | 145 | |
| 14 | 2015 | 357 | |
| 15 | 2015 | 103 | |
| 16 | DNA methylation signatures link prenatal famine exposure to growth and metabolismbreakdown → | 2014 | 392 |
| 17 | Epigenomic Profiling of Young and Aged HSCs Reveals Concerted Changes during Aging that Reinforce Self-Renewalbreakdown → | 2014 | 486 |
| 18 | 2013 | 62 | |
| 19 | Cellular Source and Mechanisms of High Transcriptome Complexity in the Mammalian Testisbreakdown → | 2013 | 419 |
| 20 | Paternally Induced Transgenerational Environmental Reprogramming of Metabolic Gene Expression in Mammalsbreakdown → | 2010 | 836 |
About Hongcang Gu
Hongcang Gu is a scholar working on Molecular Biology, Cancer Research and Aging, having authored 73 papers that have together received 12.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (39 papers), RNA modifications and cancer (15 papers), Cancer-related gene regulation (13 papers), Genomics and Chromatin Dynamics (11 papers), Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (7 papers), Cancer Genomics and Diagnostics (7 papers) and Genetic Syndromes and Imprinting (6 papers). The work is most often cited by research in Molecular Biology (10.5k citations), Aging (254 citations) and Genetics (2.6k citations). Hongcang Gu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Alexander Meissner, Andreas Gnirke, Christoph Bock, Zachary D. Smith, Tarjei S. Mikkelsen, B Bernstein, Michael J. Ziller, Eric S. Lander, Fabian Müller and Julie Donaghey. Their work appears in journals such as Nature, Cell and Nature Communications.
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.