Shenghong Yang

2.9k citations
12 papers · 2.1k indexed · 1 hit paper · h-index 11

Shenghong Yang

12 papers receiving 2.0k citations

Hit Papers

Pancreatic cancers require autophagy for tumor growth1.2k20112026201620212505007501000

Peers

Shenghong Yang
Comparison fields: 5 of 95
  • Physiology 189
  • Cancer Research 462
  • Epidemiology 1.0k
  • Molecular Biology 1.2k
  • Geriatrics and Gerontology 68
Replace Maria A. Christophorou with:
Maria A. Christophorou United Kingdom
Kris Van Moer Luxembourg
Maximilien Tailler France
Kefeng Lu China
Benoit Pasquier France
Tony Avril France
Chih‐Chi Andrew Hu United States
David E. Solow-Cordero United States
Liyun Zou China
Claudia M. Espitia United States
Shenghong Yang relative to Maria A. Christophorou United Kingdom Maria A. Christophorou's profile →
Citations per field
00.5×1.5×2.3×
Maria A. Christophorou · 1×
Citations per year

Countries citing papers authored by Shenghong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shenghong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 2018240
2 201676
3 201427
4 201355
5 2013167
6
Pancreatic cancers require autophagy for tumor growthbreakdown →
20111163
7 201175
8 2010151
9 201051
10 200817
11 200631
12
Study on the thylakoid membranes from a chlorophyll-deficient oilseed rape mutant at the bolting stage
20013

About Shenghong Yang

Shenghong Yang is a scholar working on Biomaterials, Molecular Biology and Immunology, having authored 12 papers that have together received 2.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Phagocytosis and Immune Regulation (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Interference and Gene Delivery (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Physiology (189 citations), Cancer Research (462 citations) and Epidemiology (1.0k citations). Shenghong Yang has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Alec C. Kimmelman, Xiaoxu Wang, Marc Liesa, Yinghua Li, Giovanni Tonon, Jayne M. Stommel, Haoqiang Ying, Orian S. Shirihai, Gianmarco Contino and Giacomo DellʼAntonio. Their work appears in journals such as Genes & Development, The Journal of Cell Biology and Cell Reports.

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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