Jing Qian

938 citations
40 papers · 788 indexed · h-index 16
Topics
Receptor Mechanisms and Signaling (7 papers)Nicotinic Acetylcholine Receptors Study (7 papers)TGF-β signaling in diseases (5 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Jing Qian

39 papers receiving 782 citations

Peers

Jing Qian
Comparison fields: 5 of 112
  • Molecular Biology 487
  • Neurology 157
  • Immunology 103
  • Cancer Research 92
  • Cellular and Molecular Neuroscience 89
Replace William Todd Penberthy with:
William Todd Penberthy United States
Todd Duncan United States
Jian-Hong Deng United States
Ilaria Palmisano United Kingdom
Kyoko Isahara Japan
Li Bao China
Weidong Wang United States
Hiroshi Mori Japan
Rebeccah Riley United States
Jing Qian relative to William Todd Penberthy United States William Todd Penberthy's profile →
Citations per field
00.5×3.9×
William Todd Penberthy · 1×
Citations per year

Countries citing papers authored by Jing Qian

Since Specialization
Citations

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

Fields of papers citing papers by Jing Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Qian. A scholar is included among the top collaborators of Jing Qian 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 Qian. Jing Qian 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 9
2 2
3 11
4 7
5 9
6 20
7 11
8 78
9 12
10 90
11 94
12 76
13 59
14 30
15 30
16 21
17
Expression and purification of catalytic domain of human macrophage elastase for high throughput inhibitor screening.
4
18
High-throughput screening for human collagenase 1 inhibitors.
3
19 21
20 5

About Jing Qian

Jing Qian is a scholar working on Aquatic Science, Cancer Research and Immunology and Allergy, having authored 40 papers that have together received 788 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Nicotinic Acetylcholine Receptors Study (7 papers) and TGF-β signaling in diseases (5 papers). The work is most often cited by research in Neurology (157 citations), Sensory Systems (36 citations) and Biological Psychiatry (18 citations). Jing Qian has collaborated with scholars based in China, United States and France. Frequent co-authors include Sergei A. Grando, Valentin Galitovskiy, Alexander I. Chernyavsky, Steve Marchenko, Juan Arredondo, Alex I. Chernyavsky, Robert A. Edwards, Yiwei Chu, Shudao Xiong and Pei Jiang. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Blood.

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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