Sifa Dai

676 citations
22 papers · 537 indexed · h-index 11

Impact in

    • Animal Nutrition and Physiology
    • Meat and Animal Product Quality
    • Effects of Environmental Stressors on Livestock
    • Rabbits: Nutrition, Reproduction, Health
    • Aquaculture Nutrition and Growth

Papers in

    • Animal Nutrition and Physiology 14
    • Effects of Environmental Stressors on Livestock 4
    • Meat and Animal Product Quality 4
    • Rabbits: Nutrition, Reproduction, Health 3
    • Moringa oleifera research and applications 2

Sifa Dai

21 papers receiving 512 citations

Peers

Sifa Dai
Comparison fields: 5 of 75
  • Animal Science and Zoology 372
  • Aquatic Science 49
  • Plant Science 121
  • Nutrition and Dietetics 49
  • Insect Science 39
Replace Gamal M. K. Mehaisen with:
Gamal M. K. Mehaisen Egypt
Khaled Abouelezz Egypt
Heshmatollah Khosravinia Iran
Maryam Majdeddin Belgium
Xingyong Chen China
Elshimaa M. Roushdy Egypt
Figen Kırkpınar Türkiye
Xiaoting Zou China
Zhouzheng Ren China
Sifa Dai relative to Gamal M. K. Mehaisen Egypt Gamal M. K. Mehaisen's profile →
Citations per field
00.5×4.4×
Gamal M. K. Mehaisen · 1×
Citations per year

Countries citing papers authored by Sifa Dai

Since Specialization
Citations

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

Fields of papers citing papers by Sifa Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20247
5 20234
6 20235
7 20232
8 20211
9 202019
10 202017
11 20198
12 201948
13 201910
14 201827
15 201826
16 201611
17 201530
18 201112
19 2011158
20 201179

About Sifa Dai

Sifa Dai is a scholar working on Animal Science and Zoology, Plant Science, Endocrine and Autonomic Systems, Immunology and Aquatic Science, having authored 22 papers that have together received 537 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (14 papers), Effects of Environmental Stressors on Livestock (4 papers), Meat and Animal Product Quality (4 papers), Rabbits: Nutrition, Reproduction, Health (3 papers), Aquaculture disease management and microbiota (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Trace Elements in Health (2 papers) and Moringa oleifera research and applications (2 papers). The work is most often cited by research in Animal Science and Zoology (372 citations), Aquatic Science (49 citations), Plant Science (121 citations), Nutrition and Dietetics (49 citations) and Insect Science (39 citations). Sifa Dai has collaborated with scholars based in China, Pakistan and Mexico. Frequent co-authors include Guanghong Zhou, Feng Gao, Shangxin Song, Hong Hu, Xu Xinglian, Yun Jiang, Junkai Chen, Xi Bai, Aiyou Wen and Jiaqi Li. Their work appears in journals such as British Poultry Science, Veterinary Research Communications, Poultry Science, Food and Chemical Toxicology and Journal of Applied Animal Research.

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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