Shenghui He
- Molecular Biology top 5%
- Physiology top 2%
- Oncology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Co-authors
- Norman E. SharplessSean J. MorrisonAnna V. MolofskyRicardo PardalDaisuke NakadaNancy M. JosephShalom Guy SlutskyJanakiraman Krishnamurthy
- Topics
- Epigenetics and DNA Methylation (5 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)Pluripotent Stem Cells Research (3 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Shenghui He
20 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 2.4k
- Physiology 973
- Oncology 709
- Immunology 573
- Cancer Research 504
Countries citing papers authored by Shenghui He
This map shows the geographic impact of Shenghui He'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 Shenghui He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shenghui He more than expected).
Fields of papers citing papers by Shenghui He
This network shows the impact of papers produced by Shenghui He. 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 Shenghui He. The network helps show where Shenghui He may publish in the future.
Co-authorship network of co-authors of Shenghui He
This figure shows the co-authorship network connecting the top 25 collaborators of Shenghui He. A scholar is included among the top collaborators of Shenghui He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shenghui He. Shenghui He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 6 | |
| 3 | 28 | |
| 4 | 67 | |
| 5 | 3 | |
| 6 | Senescence in Health and Diseasebreakdown → | 1253 |
| 7 | 112 | |
| 8 | 1 | |
| 9 | 193 | |
| 10 | 97 | |
| 11 | Auto Antibodies Against Retinal Pigment Epithelium in Patients with Atypical Retinopathies | 1 |
| 12 | 66 | |
| 13 | 414 | |
| 14 | 307 | |
| 15 | Increasing p16INK4a expression decreases forebrain progenitors and neurogenesis during ageingbreakdown → | 733 |
| 16 | 165 | |
| 17 | 102 | |
| 18 | 93 | |
| 19 | 491 | |
| 20 | RPGR Interacts With a Novel Ciliary IQ Domain Protein Nephrocystin 5, Mutated in Senior–Loken Syndrome (Nephronophthisis With Retinitis Pigmentosa) | 1 |
About Shenghui He
Shenghui He is a scholar working on Developmental Neuroscience, Aging and Hematology, having authored 20 papers that have together received 4.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Aging (277 citations), Developmental Neuroscience (408 citations) and Physiology (973 citations). Shenghui He has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Norman E. Sharpless, Sean J. Morrison, Anna V. Molofsky, Ricardo Pardal, Daisuke Nakada, Nancy M. Joseph, Shalom Guy Slutsky, Janakiraman Krishnamurthy, Mark J. Kiel and Injune Kim. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.
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.