Jingjun Qiu

1.0k citations
16 papers · 713 · h-index 12

Impact in

Papers in

Jingjun Qiu

16 papers receiving 705 citations

Peers

Jingjun Qiu
Comparison fields: 5 of 93
  • Hepatology 63
  • Infectious Diseases 148
  • Public Health, Environmental and Occupational Health 174
  • Epidemiology 126
  • Cardiology and Cardiovascular Medicine 79
Replace James Y. Dai with:
James Y. Dai United States
Daniel Schmidt Germany
Javier Espinosa Spain
George Tadeu Nunes Diniz Brazil
Dileepa Senajith Ediriweera Sri Lanka
Angela Park United States
Hanqing He China
Hélio Moraes‐Souza Brazil
B. Roehr United States
Jason P. Lott United States
Jingjun Qiu relative to James Y. Dai United States James Y. Dai's profile →
Citations per field
00.5×7.2×
James Y. Dai · 1×
Citations per year

Countries citing papers authored by Jingjun Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Jingjun Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jingjun Qiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jingjun Qiu Line = papers co-authored together Jingjun Qiu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2016137
2 2012116
3 2009112
4 202091
5 201756
6 201044
7 201236
8 201531
9 201125
10 201719
11 201315
12 201715
13 20187
14 20146
15
[Development of an indicator system for recognizing the sub-health status and study on the related reliability and validity].
20092
16 20171

About Jingjun Qiu

Jingjun Qiu is a scholar working on Cardiology and Cardiovascular Medicine, Reproductive Medicine, Hepatology, Infectious Diseases and Molecular Biology, having authored 16 papers that have together received 713 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (2 papers), Hepatitis C virus research (2 papers), Water resources management and optimization (1 paper), Criminal Justice and Corrections Analysis (1 paper), Cancer Genomics and Diagnostics (1 paper), Berberine and alkaloids research (1 paper), Flood Risk Assessment and Management (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Hepatology (63 citations), Infectious Diseases (148 citations), Public Health, Environmental and Occupational Health (174 citations), Epidemiology (126 citations) and Cardiology and Cardiovascular Medicine (79 citations). Jingjun Qiu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Frederick L. Altice, Sandra A. Springer, Wei Wang, Gong Cheng, Senyan Du, Jianying Liu, Yang Liu, Kaixiao Nie, Xiaojing Pang and Penghua Wang. Their work appears in journals such as PLoS ONE, Clinical Cancer Research, Journal of Clinical Oncology, Hepatology and Journal of Biopharmaceutical Statistics.

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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