Feifei Cheng

1.2k citations
21 papers · 318 indexed · h-index 8

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Telomeres, Telomerase, and Senescence
    • Nutrition and Health in Aging

Papers in

Feifei Cheng

20 papers receiving 313 citations

Peers

Feifei Cheng
Comparison fields: 5 of 72
  • Aging 34
  • Physiology 170
  • Geriatrics and Gerontology 14
  • Clinical Biochemistry 21
  • Reproductive Medicine 25
Replace Steven Smit with:
Steven Smit Estonia
Kimberley C. W. Wang Australia
Romy Kirsten Germany
Pietro Lazzeroni Italy
Athanasios Zikopoulos Greece
Ninna S. Hansen Denmark
Orit Shevah Israel
Keitaro Okamoto Japan
Xiaoxia Shen China
Susan Marczewski United States
Feifei Cheng relative to Steven Smit Estonia Steven Smit's profile →
Citations per field
00.5×6.3×
Steven Smit · 1×
Citations per year

Countries citing papers authored by Feifei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20241
4 202314
5 20234
6 20223
7 20223
8 20221
9 20226
10 20221
11 20215
12 202110
13 202112
14 20217
15 202041
16 202042
17 2020136
18 20182
19 20167
20 201519

About Feifei Cheng

Feifei Cheng is a scholar working on Reproductive Medicine, Aging, Geriatrics and Gerontology, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 318 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), Ovarian function and disorders (4 papers), Birth, Development, and Health (4 papers), Health, Environment, Cognitive Aging (2 papers), Pregnancy and preeclampsia studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Cardiovascular Disease and Adiposity (1 paper) and Workplace Health and Well-being (1 paper). The work is most often cited by research in Aging (34 citations), Physiology (170 citations), Geriatrics and Gerontology (14 citations), Clinical Biochemistry (21 citations) and Reproductive Medicine (25 citations). Feifei Cheng has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Ronald C.W., Mugdha V. Joglekar, Anandwardhan A. Hardikar, Alicia J. Jenkins, Luke Carroll, Andrzej S. Januszewski, Wilson K. M. Wong, Cadmon K.P. Lim, Alex C.W. Ng and Juliana C.N. Chan. Their work appears in journals such as Journal of Affective Disorders, Value in Health, The Lancet Diabetes & Endocrinology, Medicine and Endocrine Connections.

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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