Xiaohai Gong

724 citations
20 papers · 591 indexed · h-index 10
Topics
Virus-based gene therapy research (2 papers)DNA Repair Mechanisms (2 papers)Neuroscience and Neuropharmacology Research (2 papers)
Partner nations
ChinaUnited StatesUganda

In The Last Decade

Xiaohai Gong

20 papers receiving 583 citations

Peers

Xiaohai Gong
Comparison fields: 5 of 81
  • Molecular Biology 248
  • Physiology 170
  • Reproductive Medicine 146
  • Public Health, Environmental and Occupational Health 132
  • Cellular and Molecular Neuroscience 103
Replace Edgar F. da Cruz e Silva with:
Edgar F. da Cruz e Silva Portugal
Christian Lessard United States
Arpita Ray United States
Kanako Morohaku Japan
Lavoisier Ramos‐Espiritu United States
Gustavo A. Barisone United States
Scott E. Phillips United States
Ching‐Hsiang Wu Taiwan
Debby Ickowicz Israel
Young‐Hwan Kim South Korea
Xiaohai Gong relative to Edgar F. da Cruz e Silva Portugal Edgar F. da Cruz e Silva's profile →
Citations per field
00.5×1.5×
Edgar F. da Cruz e Silva · 1×
Citations per year

Countries citing papers authored by Xiaohai Gong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohai Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohai Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohai Gong. A scholar is included among the top collaborators of Xiaohai 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 Xiaohai Gong. Xiaohai Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 18
3 10
4 10
5 7
6 4
7 2
8 5
9 12
10 6
11 13
12 1
13 6
14 17
15 9
16 6
17 36
18 176
19 125
20 121

About Xiaohai Gong

Xiaohai Gong is a scholar working on Reproductive Medicine, Biotechnology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 591 indexed citations. Recurring topics across this work include Virus-based gene therapy research (2 papers), DNA Repair Mechanisms (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Reproductive Medicine (146 citations), Biological Psychiatry (17 citations) and Physiology (170 citations). Xiaohai Gong has collaborated with scholars based in China, United States and Uganda. Frequent co-authors include David J. Miller, Barry D. Shur, Daniel H. Dubois, Karen L. Marquis, Kevin Atchison, June Sonnenberg‐Reines, Anthony F. Kreft, Thomas A. Comery, Robert Martone and Hua Zhou. Their work appears in journals such as Science, Journal of Neuroscience and Development.

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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