Long Shu

1.6k citations
56 papers · 1.1k · h-index 20

Impact in

Papers in

Long Shu

54 papers receiving 1.1k citations

Peers

Long Shu
Comparison fields: 5 of 102
  • Public Health, Environmental and Occupational Health 445
  • Physiology 235
  • Nephrology 61
  • Endocrinology, Diabetes and Metabolism 130
  • Nutrition and Dietetics 106
Replace Paulette D. Chandler with:
Paulette D. Chandler United States
Katharina Lechner Germany
Xiang Shu United States
Hedong Han China
Yahya Mahamat‐Saleh France
Hyosoon Park South Korea
Lisa Fosdick United States
Jasper J. van Doormaal Netherlands
Mireia Junyent Spain
María Marqués Spain
Long Shu relative to Paulette D. Chandler United States Paulette D. Chandler's profile →
Citations per field
00.5×2.5×
Paulette D. Chandler · 1×
Citations per year

Countries citing papers authored by Long Shu

Since Specialization
Citations

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

Fields of papers citing papers by Long Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201686
2 201577
3 201574
4 201460
5 201755
6 201554
7 201753
8 201646
9 201538
10 202135
11 202030
12 202329
13 201727
14 201923
15 202422
16 202321
17 202021
18 201321
19 201420
20 201919

About Long Shu

Long Shu is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Physiology, Pulmonary and Respiratory Medicine and Oncology, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (29 papers), Diet and metabolism studies (12 papers), Consumer Attitudes and Food Labeling (12 papers), Obesity, Physical Activity, Diet (9 papers), Ferroptosis and cancer prognosis (6 papers), Cancer-related molecular mechanisms research (5 papers), Alcohol Consumption and Health Effects (4 papers) and Nutrition, Genetics, and Disease (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (445 citations), Physiology (235 citations), Nephrology (61 citations), Endocrinology, Diabetes and Metabolism (130 citations) and Nutrition and Dietetics (106 citations). Long Shu has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Xiaoyan Zhang, Pei-Fen Zheng, Caijuan Si, Xiaolong Yu, Wei Gao, Xiaoming Shen, Fang Wu, Sufang Wang, Lun Zhang and Min Mu. Their work appears in journals such as Frontiers in Nutrition, Nutrients, Nutrition Journal, European Journal of Cancer Prevention and Public Health Nutrition.

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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