Hanping Shi

11.9k citations
326 papers · 4.8k · h-index 35

Impact in

Papers in

    • Nutrition and Health in Aging 96
    • Body Composition Measurement Techniques 10
    • Inflammatory Biomarkers in Disease Prognosis 40

Hanping Shi

306 papers receiving 4.8k citations

Peers

Hanping Shi
Comparison fields: 5 of 141
  • Geriatrics and Gerontology 189
  • Physiology 1.4k
  • Rehabilitation 223
  • Oncology 700
  • Critical Care and Intensive Care Medicine 117
Replace Richard C. Woodman with:
Richard C. Woodman United States
Flávio Reis Portugal
Ettore Capoluongo Italy
Fuqiang Wen China
Anders Thorell Sweden
Carmela Rita Balistreri Italy
Éric Boulanger France
Riccardo Caccialanza Italy
Giovanni Ricevuti Italy
Michael Williams New Zealand
Hanping Shi relative to Richard C. Woodman United States Richard C. Woodman's profile →
Citations per field
00.5×7.5×
Richard C. Woodman · 1×
Citations per year

Countries citing papers authored by Hanping Shi

Since Specialization
Citations

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

Fields of papers citing papers by Hanping Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 326 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020146
2 2000144
3 2002102
4 2022100
5 202099
6 200199
7 200391
8 200388
9 202183
10 200382
11 200279
12 200878
13 201878
14 202174
15 201674
16 202069
17 202265
18
Cytochrome P450 2E1 DraI polymorphisms in lung cancer in minority populations.
199865
19 202256
20 202051

About Hanping Shi

Hanping Shi is a scholar working on Physiology, Oncology, Epidemiology, Molecular Biology and Nutrition and Dietetics, having authored 326 papers that have together received 4.8k indexed citations. Recurring topics across this work include Nutrition and Health in Aging (96 papers), Inflammatory Biomarkers in Disease Prognosis (40 papers), Frailty in Older Adults (14 papers), Folate and B Vitamins Research (12 papers), Body Composition Measurement Techniques (10 papers), Nutritional Studies and Diet (10 papers), Clinical Nutrition and Gastroenterology (8 papers) and Wound Healing and Treatments (7 papers). The work is most often cited by research in Geriatrics and Gerontology (189 citations), Physiology (1.4k citations), Rehabilitation (223 citations), Oncology (700 citations) and Critical Care and Intensive Care Medicine (117 citations). Hanping Shi has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Mengmeng Song, Adrian Barbul, David T. Efron, Chunhua Song, Guo‐Tian Ruan, Yi‐Zhong Ge, Hongxia Xu, Daniel Most, Meng Tang and Hailun Xie. Their work appears in journals such as Nutrition, Clinical Nutrition, Journal of Cachexia Sarcopenia and Muscle, Frontiers in Nutrition and Frontiers in 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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