Jinling Wu

1.0k citations
22 papers · 833 indexed · h-index 11
Topics
Wnt/β-catenin signaling in development and cancer (4 papers)Developmental Biology and Gene Regulation (4 papers)Glycosylation and Glycoproteins Research (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Jinling Wu

19 papers receiving 814 citations

Peers

Jinling Wu
Comparison fields: 5 of 91
  • Molecular Biology 606
  • Genetics 204
  • Cell Biology 104
  • Rheumatology 93
  • Cancer Research 69
Replace Christian Asbrand with:
Christian Asbrand Germany
Laura Hernandez‐Lagunas United States
Kun Guo China
Yukiko Kitase United States
Xiaoyan Tian United States
Judith N. Haslett United States
Gundula Leschik Germany
Patricio Barros‐Núñez Mexico
Juan A. Ardura Spain
Lucia Latella Italy
Jinling Wu relative to Christian Asbrand Germany Christian Asbrand's profile →
Citations per field
00.5×1.5×
Christian Asbrand · 1×
Citations per year

Countries citing papers authored by Jinling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jinling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinling Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinling Wu. A scholar is included among the top collaborators of Jinling Wu 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 Jinling Wu. Jinling Wu 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 0
2 1
3 0
4 0
5 1
6 15
7 102
8 1
9 10
10 7
11 10
12 10
13 6
14
[Dysferlin expression in limb-girdle muscular dystrophy and Miyoshi myopathy: analysis of 45 cases].
3
15 14
16 61
17 55
18 74
19 329
20 103

About Jinling Wu

Jinling Wu is a scholar working on Family Practice, Geriatrics and Gerontology and Physiology, having authored 22 papers that have together received 833 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (4 papers), Developmental Biology and Gene Regulation (4 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Biology (606 citations), Genetics (204 citations) and Cell Biology (104 citations). Jinling Wu has collaborated with scholars based in China and United States. Frequent co-authors include Peter S. Klein, Lilia Topol, Yingzi Yang, Jing Yang, Jean‐Pierre Saint‐Jeannet, Change Tan, Lan Jiang, Zhong‐Zhen Zhou, Ningbo Cai and Jiangping Xu. Their work appears in journals such as Journal of Biological Chemistry, Development and Trends in Neurosciences.

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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