Jin G. Gong

958 citations
11 papers · 740 indexed · h-index 10
Topics
Reproductive Physiology in Livestock (7 papers)Reproductive Biology and Fertility (3 papers)Ovarian function and disorders (3 papers)

In The Last Decade

Jin G. Gong

11 papers receiving 706 citations

Peers

Jin G. Gong
Comparison fields: 5 of 66
  • Agronomy and Crop Science 491
  • Public Health, Environmental and Occupational Health 328
  • Genetics 260
  • Reproductive Medicine 145
  • Endocrinology, Diabetes and Metabolism 121
Replace S. F. Canning with:
S. F. Canning United States
T D Hamilton United States
Shunichi KAMIMURA Japan
Bernardo Garziera Gasperin Brazil
Hans Raj India
Kou Sueoka Japan
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M.T. Hochereau de Reviers France
J.L.M.R. Leroy Belgium
Vickie Hedgpeth United States
Jin G. Gong relative to S. F. Canning United States S. F. Canning's profile →
Citations per field
00.5×
S. F. Canning · 1×
Citations per year

Countries citing papers authored by Jin G. Gong

Since Specialization
Citations

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

Fields of papers citing papers by Jin G. Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin G. Gong. 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 Jin G. Gong. The network helps show where Jin G. Gong may publish in the future.

Co-authorship network of co-authors of Jin G. Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Jin G. Gong. A scholar is included among the top collaborators of Jin G. Gong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin G. Gong. Jin G. Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 13
2 10
3 33
4
[Study on the oxidative stress in the ovaries of a rat model of polycystic ovary].
6
5 72
6 51
7 129
8 36
9 162
10 62
11 166

About Jin G. Gong

Jin G. Gong is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Computer Science Applications, having authored 11 papers that have together received 740 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (7 papers), Reproductive Biology and Fertility (3 papers) and Ovarian function and disorders (3 papers). The work is most often cited by research in Agronomy and Crop Science (491 citations), Reproductive Medicine (145 citations) and Public Health, Environmental and Occupational Health (328 citations). Jin G. Gong has collaborated with scholars based in United Kingdom, China and Mexico. Frequent co-authors include R. Webb, Tony Bramley, Carlos G. Gutiérrez, P. C. Garnsworthy, Ali A. Fouladi‐Nashta, Bruce Campbell, Andy Peters, Ian Wilmut, Kevin D. Sinclair and Yongning Wu. Their work appears in journals such as Chemosphere, Biology of Reproduction and BioMed Research International.

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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