Hongying Yang

4.4k citations
50 papers · 2.2k indexed · 1 hit paper · h-index 20
Topics
Sirtuins and Resveratrol in Medicine (7 papers)Phytase and its Applications (5 papers)Enzyme Production and Characterization (4 papers)
Partner nations
ChinaUnited StatesNorway

In The Last Decade

Hongying Yang

46 papers receiving 2.2k citations

Hit Papers

Nutrient-Sensitive Mitochondrial NAD+ Levels Dictate Cell...20072026201320192007250500750

Peers

Hongying Yang
Comparison fields: 5 of 115
  • Molecular Biology 1.1k
  • Geriatrics and Gerontology 708
  • Physiology 445
  • Epidemiology 391
  • Oncology 376
Replace Sameer S. Kulkarni with:
Sameer S. Kulkarni Australia
Ryan W. Dellinger United States
Boris A. Chrunyk United States
Kheem S. Bisht United States
Margie T. Borra United States
Tishan Williams United States
Jintang Du China
Katrina L. Bogan United States
Anne Kisielewski United States
Maureen Higgins United Kingdom
Hongying Yang relative to Sameer S. Kulkarni Australia Sameer S. Kulkarni's profile →
Citations per field
00.5×1.5×
Sameer S. Kulkarni · 1×
Citations per year

Countries citing papers authored by Hongying Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hongying Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongying Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongying Yang. A scholar is included among the top collaborators of Hongying Yang 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 Hongying Yang. Hongying Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 0
4 4
5 6
6 37
7 5
8 9
9 13
10 110
11 45
12 46
13 36
14 297
15 15
16 14
17 83
18 92
19 45
20 73

About Hongying Yang

Hongying Yang is a scholar working on Geriatrics and Gerontology, Aging and Biotechnology, having authored 50 papers that have together received 2.2k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (7 papers), Phytase and its Applications (5 papers) and Enzyme Production and Characterization (4 papers). The work is most often cited by research in Geriatrics and Gerontology (708 citations), Physiology (239 citations) and Aging (67 citations). Hongying Yang has collaborated with scholars based in China, United States and Norway. Frequent co-authors include David Sinclair, Mary F. Roberts, Joseph A. Baur, Vilhelm A. Bohr, Evelyn Perez, Tianle Yang, Rafael de Cabo, Anthony Rosenzweig, Anthony A. Sauve and Juan J. Carmona. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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