Da-Xin Gong

420 citations
24 papers · 242 indexed · h-index 10
Topics
Sexual function and dysfunction studies (3 papers)Hormonal and reproductive studies (3 papers)Machine Learning in Healthcare (2 papers)
Partner nations
ChinaAustraliaJapan

In The Last Decade

Da-Xin Gong

24 papers receiving 240 citations

Peers

Da-Xin Gong
Comparison fields: 5 of 81
  • Molecular Biology 109
  • Cancer Research 87
  • Pulmonary and Respiratory Medicine 26
  • Surgery 26
  • Cardiology and Cardiovascular Medicine 20
Replace Negar Sarhangi with:
Negar Sarhangi Iran
Chloe Gui Canada
Huanji Zhang China
Fenfen Wang United States
Tongtong Huang China
Xuan Deng China
Barbara Kuźnar-Kamińska Poland
Kwi-Hyun Bae South Korea
Annelise M. Poss United States
Tanja Weis Germany
Da-Xin Gong relative to Negar Sarhangi Iran Negar Sarhangi's profile →
Citations per field
00.5×10×15×18×
Negar Sarhangi · 1×
Citations per year

Countries citing papers authored by Da-Xin Gong

Since Specialization
Citations

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

Fields of papers citing papers by Da-Xin Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da-Xin Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Da-Xin Gong. A scholar is included among the top collaborators of Da-Xin 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 Da-Xin Gong. Da-Xin 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 30
2 1
3 2
4 7
5 7
6 3
7 10
8 23
9 2
10 6
11 28
12 1
13 18
14 7
15 20
16
[Clinical efficacy of daily low-dose tadalafil on erectile dysfunction-no sexual life].
1
17 11
18 15
19
[Study on multiple aldosterone-producing adenomas].
1
20
[Treatment of glandular cystitis].
2

About Da-Xin Gong

Da-Xin Gong is a scholar working on Health Informatics, Health Information Management and Cancer Research, having authored 24 papers that have together received 242 indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (3 papers), Hormonal and reproductive studies (3 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Informatics (15 citations), Cancer Research (87 citations) and Health Information Management (18 citations). Da-Xin Gong has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Chuize Kong, Yuyan Zhu, Zhe Zhang, Jianbin Bi, Jiao Liu, Bo Zhan, Zhenhua Li, Zeliang Li, Huijun Li and Yixiao Zhang. Their work appears in journals such as Journal of Medical Internet Research, BMC Medicine and Urology.

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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