Long Che

551 citations
26 papers · 418 · h-index 13

Impact in

    • Animal Behavior and Welfare Studies
    • Animal Nutrition and Physiology
    • Meat and Animal Product Quality
    • Effects of Environmental Stressors on Livestock

Papers in

    • Adipose Tissue and Metabolism 6
    • Diet and metabolism studies 3
    • Metabolomics and Mass Spectrometry Studies 3

Long Che

24 papers receiving 411 citations

Peers

Long Che
Comparison fields: 5 of 61
  • Small Animals 118
  • Animal Science and Zoology 161
  • Agronomy and Crop Science 62
  • Nutrition and Dietetics 64
  • Pediatrics, Perinatology and Child Health 77
Replace K. R. Maddock Carlin with:
K. R. Maddock Carlin United States
P. M. Nissen Denmark
Cuiping Feng China
Rodrigo Manjarín United States
Sanggun Roh Japan
A. Giguère Canada
Lun Hua China
Arantzatzu Lassala United States
Angelina Swali United Kingdom
Long Che relative to K. R. Maddock Carlin United States K. R. Maddock Carlin's profile →
Citations per field
00.5×3.2×
K. R. Maddock Carlin · 1×
Citations per year

Countries citing papers authored by Long Che

Since Specialization
Citations

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

Fields of papers citing papers by Long Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201358
2 201949
3 201746
4 201038
5 201330
6 201627
7 201917
8 201617
9 202317
10 201916
11 202015
12 201715
13 202313
14 202112
15 201411
16 20169
17 20159
18 20255
19 20165
20 20155

About Long Che

Long Che is a scholar working on Physiology, Molecular Biology, Small Animals, Animal Science and Zoology and Agronomy and Crop Science, having authored 26 papers that have together received 418 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (7 papers), Adipose Tissue and Metabolism (6 papers), Reproductive Physiology in Livestock (6 papers), Animal Behavior and Welfare Studies (5 papers), Birth, Development, and Health (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Reproductive Biology and Fertility (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Small Animals (118 citations), Animal Science and Zoology (161 citations), Agronomy and Crop Science (62 citations), Nutrition and Dietetics (64 citations) and Pediatrics, Perinatology and Child Health (77 citations). Long Che has collaborated with scholars based in China, Indonesia and United States. Frequent co-authors include De Wu, Mengmeng Xu, Zhengfeng Fang, Zongyong Jiang, Xuefen Yang, Kaiguo Gao, Xiaolu Wen, Yan Lin, Bin Feng and Zhenguo Yang. Their work appears in journals such as Frontiers in Veterinary Science, PLoS ONE, Food Science & Nutrition, Nutrients and Poultry Science.

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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