Jing Ni

1.4k citations
68 papers · 947 indexed · 1 hit paper · h-index 20
Topics
Systemic Lupus Erythematosus Research (20 papers)Genetic Associations and Epidemiology (10 papers)Diabetes and associated disorders (8 papers)
Partner nations
ChinaAustraliaHong Kong

In The Last Decade

Jing Ni

60 papers receiving 932 citations

Hit Papers

Temporal trends in the prevalence of autoimmune diseases ...20232026202420252023255075

Peers

Jing Ni
Comparison fields: 5 of 119
  • Molecular Biology 249
  • Rheumatology 209
  • Immunology 203
  • Genetics 126
  • Pathology and Forensic Medicine 102
Replace Vanessa Abella with:
Vanessa Abella Spain
Shaowei Wu United States
Parasar Ghosh India
Edda Battaglia Italy
Kazuhiro Omori Japan
Murat Polat Türkiye
MJ Adams Australia
Fan Cao China
Kuo‐Tung Tang Taiwan
Susana Coimbra Portugal
Jing Ni relative to Vanessa Abella Spain Vanessa Abella's profile →
Citations per field
00.5×1.5×2.5×
Vanessa Abella · 1×
Citations per year

Countries citing papers authored by Jing Ni

Since Specialization
Citations

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

Fields of papers citing papers by Jing Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Ni. A scholar is included among the top collaborators of Jing Ni 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 Jing Ni. Jing Ni 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 1
2 0
3 1
4 0
5 0
6 0
7 0
8 7
9 5
10
Temporal trends in the prevalence of autoimmune diseases from 1990 to 2019breakdown →
84
11 5
12 8
13 3
14 30
15 4
16 47
17 11
18 32
19 3
20 48

About Jing Ni

Jing Ni is a scholar working on Rheumatology, Immunology and Genetics, having authored 68 papers that have together received 947 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (20 papers), Genetic Associations and Epidemiology (10 papers) and Diabetes and associated disorders (8 papers). The work is most often cited by research in Rheumatology (209 citations), Immunology (203 citations) and Complementary and alternative medicine (53 citations). Jing Ni has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Hai‐Feng Pan, Dong‐Qing Ye, Han Cen, Peng Wang, Kang-Jia Yin, Yue Chen, Pengfei Wen, Rui‐Xue Leng, Wang‐Dong Xu and Lijuan Qiu. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

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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