Hanping Shi

11.9k citations
325 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 4.7k citations

Peers

Hanping Shi
Comparison fields: 5 of 138
  • Geriatrics and Gerontology 186
  • Physiology 1.4k
  • Rehabilitation 210
  • Oncology 696
  • Critical Care and Intensive Care Medicine 116
Replace Richard C. Woodman with:
Richard C. Woodman United States
Fuqiang Wen China
Anders Thorell Sweden
Éric Boulanger France
Giovanni Ricevuti Italy
Carmela Rita Balistreri Italy
Michael Williams New Zealand
Brian S. Zuckerbraun United States
Giovanni Mantovani Italy
Michela Zanetti Italy
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 325 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020146
2 2000133
3 2022100
4 202097
5 200297
6 200192
7 200387
8 200384
9 202183
10 200381
11 200877
12 200277
13 202174
14 201674
15 202069
16 201866
17 202265
18
Cytochrome P450 2E1 DraI polymorphisms in lung cancer in minority populations.
199864
19 202253
20 202051

About Hanping Shi

Hanping Shi is a scholar working on Physiology, Oncology, Epidemiology, Molecular Biology and Nutrition and Dietetics, having authored 325 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 (186 citations), Physiology (1.4k citations), Rehabilitation (210 citations), Oncology (696 citations) and Critical Care and Intensive Care Medicine (116 citations). Hanping Shi has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Mengmeng Song, Adrian Barbul, Chunhua Song, David T. Efron, Guo‐Tian Ruan, Yi‐Zhong Ge, Hongxia Xu, Meng Tang, Daniel Most 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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