Jinqiu Kuang

585 citations
16 papers · 417 indexed · h-index 9
Topics
HER2/EGFR in Cancer Research (4 papers)Cell Adhesion Molecules Research (4 papers)Biomedical Text Mining and Ontologies (3 papers)
Partner nations
United StatesFrance

In The Last Decade

Jinqiu Kuang

16 papers receiving 413 citations

Peers

Jinqiu Kuang
Comparison fields: 5 of 102
  • Molecular Biology 179
  • Oncology 105
  • Cancer Research 62
  • Immunology 59
  • Immunology and Allergy 49
Replace Gudrun Bornhöft with:
Gudrun Bornhöft Germany
Sandeep Appunni India
S Pollack Israel
Yun He China
Jiun Yit Pan Singapore
Oliver Glass United States
Po‐Chuan Wang Taiwan
Carlos Eduardo Coral de Oliveira Brazil
Jane D. Filie United States
Jinqiu Kuang relative to Gudrun Bornhöft Germany Gudrun Bornhöft's profile →
Citations per field
00.5×4.5×
Gudrun Bornhöft · 1×
Citations per year

Countries citing papers authored by Jinqiu Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Jinqiu Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinqiu Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinqiu Kuang. A scholar is included among the top collaborators of Jinqiu Kuang 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 Jinqiu Kuang. Jinqiu Kuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 5
2 8
3
Regular Expression-Based Learning for METs Value Extraction.
8
4 25
5 14
6 6
7
Representation of Functional Status Concepts from Clinical Documents and Social Media Sources by Standard Terminologies.
8
8
Differences in nationwide cohorts of acupuncture users identified using structured and free text medical records.
7
9 23
10 34
11 87
12 34
13 38
14 1
15
Nuclear factor kappaB inhibitors induce adhesion-dependent colon cancer apoptosis: implications for metastasis.
72
16 47

About Jinqiu Kuang

Jinqiu Kuang is a scholar working on Immunology and Allergy, Health Information Management and Geriatrics and Gerontology, having authored 16 papers that have together received 417 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Cell Adhesion Molecules Research (4 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Medical Terminology (5 citations), Immunology and Allergy (49 citations) and Virology (27 citations). Jinqiu Kuang has collaborated with scholars based in United States and France. Frequent co-authors include Scott K. Kuwada, Xiufen Li, Frederic Clayton, Qing Zeng‐Treitler, Bruce E. Bray, Phillip D. Gray, Courtney L. Scaife, Wade S. Samowitz, Robert G. Jones and Blair Madison. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Gastroenterology.

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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