Xin‐Quan Zhao

1.7k citations
16 papers · 1.4k indexed · h-index 11

Xin‐Quan Zhao

16 papers receiving 1.3k citations

Peers

Xin‐Quan Zhao
Comparison fields: 5 of 90
  • Animal Science and Zoology 588
  • Ecological Modeling 102
  • Small Animals 155
  • Nature and Landscape Conservation 227
  • Ecology 360
Replace Luming Ding with:
Luming Ding China
T. D. A. Forbes United States
M. K. Petersen United States
Jocelyne Aufrère France
Hiro-omi YOKOTA Japan
René Baumont France
Zalmen Henkin Israel
Uta Dickhoefer Germany
R. S. Shiel United Kingdom
H. Dove Australia
Xin‐Quan Zhao relative to Luming Ding China Luming Ding's profile →
Citations per field
00.5×3.2×
Luming Ding · 1×
Citations per year

Countries citing papers authored by Xin‐Quan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐Quan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Quan Zhao. 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 Xin‐Quan Zhao. The network helps show where Xin‐Quan Zhao may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20252
2 200828
3 2005108
4 2004477
5 200313
6 20001
7 19972
8 19971
9 199754
10 1996284
11 199621
12 1996274
13 19968
14 199564
15 199241
16 199220

About Xin‐Quan Zhao

Xin‐Quan Zhao is a scholar working on Animal Science and Zoology, Cell Biology, Ecological Modeling, Ecology and Physiology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (5 papers), Diet and metabolism studies (5 papers), Adipose Tissue and Metabolism (5 papers), Meat and Animal Product Quality (4 papers), Muscle metabolism and nutrition (4 papers), Agriculture Sustainability and Environmental Impact (3 papers), Selenium in Biological Systems (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Animal Science and Zoology (588 citations), Ecological Modeling (102 citations), Small Animals (155 citations), Nature and Landscape Conservation (227 citations) and Ecology (360 citations). Xin‐Quan Zhao has collaborated with scholars based in Denmark, China and United States. Frequent co-authors include Henry Jørgensen, Bjørn O. Eggum, John Harte, Julia A. Klein, Knud Erik Bach Knudsen, Yixun Xia, P.D. Whanger, Torben Larsen, Vince M. Gabert and Depeng Wang. Their work appears in journals such as British Journal Of Nutrition, Ecology Letters, The Journal of Nutritional Biochemistry, Journal of Experimental Zoology Part A Ecological Genetics and Physiology and Journal of 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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