Long Che

583 citations
26 papers · 465 · h-index 14

Impact in

Papers in

Long Che

25 papers receiving 457 citations

Peers

Long Che
Comparison fields: 5 of 51
  • Animal Science and Zoology 212
  • Agronomy and Crop Science 126
  • Pediatrics, Perinatology and Child Health 81
  • Small Animals 44
  • Biochemistry 16
Replace Rodrigo Manjarín with:
Rodrigo Manjarín United States
Cuiping Feng China
Z. C. T. R. Daniel United Kingdom
C. Parys United States
Quentin L. Sciascia Germany
Fernanda Batistel United States
Jinghui Heng China
Louis L. Lefaucheur France
Marie-Christine Pére France
P. M. Nissen Denmark
Long Che relative to Rodrigo Manjarín United States Rodrigo Manjarín's profile →
Citations per field
00.5×2×3×3.5×
Rodrigo Manjarín · 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 201366
2 201754
3 201951
4 201038
5 201332
6 201628
7 201619
8 202319
9 201918
10 201918
11 202016
12 201715
13 202315
14 202114
15 201412
16 201610
17 20159
18 20258
19 20256
20 20155

About Long Che

Long Che is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Pediatrics, Perinatology and Child Health, Biochemistry and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 465 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (16 papers), Birth, Development, and Health (8 papers), Reproductive Physiology in Livestock (7 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Lipid metabolism and biosynthesis (2 papers), Reproductive Biology and Fertility (2 papers), Genomics, phytochemicals, and oxidative stress (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Animal Science and Zoology (212 citations), Agronomy and Crop Science (126 citations), Pediatrics, Perinatology and Child Health (81 citations), Small Animals (44 citations) and Biochemistry (16 citations). Long Che has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Mengmeng Xu, De Wu, Zhengfeng Fang, Zongyong Jiang, Kaiguo Gao, Xuefen Yang, Xiaolu Wen, Liangqiang Che, Shengyu Xu and Zhenguo Yang. Their work appears in journals such as Frontiers in Veterinary Science, Food Science & Nutrition, Nutrients, PLoS ONE and Animals.

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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