Jing Wu

3.1k total citations · 1 hit paper
98 papers, 2.3k citations indexed

About

Jing Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jing Wu has authored 98 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 15 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Jing Wu's work include Liver Disease Diagnosis and Treatment (9 papers), Anesthesia and Neurotoxicity Research (8 papers) and Cancer-related molecular mechanisms research (8 papers). Jing Wu is often cited by papers focused on Liver Disease Diagnosis and Treatment (9 papers), Anesthesia and Neurotoxicity Research (8 papers) and Cancer-related molecular mechanisms research (8 papers). Jing Wu collaborates with scholars based in China, United States and Sweden. Jing Wu's co-authors include Huihui Li, Kuanyu Li, Jianjun Yang, Hongting Zhao, Shuangying Hao, Chaojun Li, Qiang Ding, Liang Shi, Jia Liu and Danhua Pu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jing Wu

92 papers receiving 2.2k citations

Hit Papers

Risk factors for kidney stone disease recurrence: a compr... 2022 2026 2023 2024 2022 25 50 75

Peers

Jing Wu
Comparison fields: 5 of 131
  • Molecular Biology 1.1k
  • Cancer Research 468
  • Pulmonary and Respiratory Medicine 229
  • Epidemiology 227
  • Physiology 215
Replace Clifton L. Dalgard with:
Clifton L. Dalgard United States
Ron Kooijman Belgium
Xin Zhao China
Dong Han China
Huseyin Mehmet United Kingdom
Takashi Shichita Japan
Lu Li China
Svetlana M. Stamatovic United States
Peter Siesjö Sweden
Stilla Frede Germany
Clifton L. Dalgard United States View profile →
Citations per field, relative to Jing Wu
Jing Wu · 1×
Citations per year, relative to Jing Wu
Jing Wu · 1×

Countries citing papers authored by Jing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Wu. A scholar is included among the top collaborators of Jing 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 Jing Wu. Jing 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
# Work Indexed citations
1 0
2 13
3 10
4 7
5 1
6 11
7 24
8 14
9 42
10 20
11 136
12 0
13 37
14 80
15 16
16 69
17 7
18 27
19 1
20 0

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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