Qingchun Jin

677 citations
19 papers · 356 indexed · 1 hit paper · h-index 6
Topics
HER2/EGFR in Cancer Research (8 papers)Breast Cancer Treatment Studies (5 papers)Cancer Treatment and Pharmacology (4 papers)
Partner nations
United StatesItalyChina

In The Last Decade

Qingchun Jin

14 papers receiving 353 citations

Hit Papers

Prognostic and Biologic Significance of ERBB2-Low Express...202220262023202420224080120

Peers

Qingchun Jin
Comparison fields: 5 of 35
  • Oncology 200
  • Cancer Research 150
  • Hepatology 134
  • Epidemiology 108
  • Pulmonary and Respiratory Medicine 79
Replace Long-Zi Liu with:
Long-Zi Liu China
Ning‐Fu Peng China
Massimo De Giorgio Italy
Shumei Jiang China
G. Atalay Belgium
Franz J. Hilke Germany
Gennaro Palmiotti Italy
Laurence Crouzet France
Xiao-Dong Zhu China
Mark Karwal United States
Qingchun Jin relative to Long-Zi Liu China Long-Zi Liu's profile →
Citations per field
00.5×4.7×
Long-Zi Liu · 1×
Citations per year

Countries citing papers authored by Qingchun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Qingchun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingchun Jin

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 4
6 2
7 15
8 15
9 0
10 1
11 1
12 2
13 16
14 5
15 3
16
Prognostic and Biologic Significance of ERBB2-Low Expression in Early-Stage Breast Cancerbreakdown →
147
17 29
18 115
19 1

About Qingchun Jin

Qingchun Jin is a scholar working on Cancer Research, Oncology and Hepatology, having authored 19 papers that have together received 356 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (8 papers), Breast Cancer Treatment Studies (5 papers) and Cancer Treatment and Pharmacology (4 papers). The work is most often cited by research in Hepatology (134 citations), Cancer Research (150 citations) and Oncology (200 citations). Qingchun Jin has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Nabihah Tayob, Amit G. Singal, Jorge A. Marrero, Neehar D. Parikh, Anand S. Mehta, Austin J. Fobar, Hashem El‐Serag, Sara M. Tolaney, Tari A. King and Paolo Tarantino. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology 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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