Junrong Yan

1.4k citations
69 papers · 949 · h-index 17

Impact in

Papers in

Junrong Yan

57 papers receiving 940 citations

Peers

Junrong Yan
Comparison fields: 5 of 90
  • Radiology, Nuclear Medicine and Imaging 203
  • Cancer Research 123
  • Electrochemistry 45
  • Molecular Biology 470
  • Pulmonary and Respiratory Medicine 184
Replace Jingjing Miao with:
Jingjing Miao China
Huizi Wu China
Andreea Olaru United States
Dingguo Liu United States
Lingyun Huang China
Fereshteh Abbasvandi Iran
Huan Yang China
Rezvan Esmaeili Iran
Yimin Lu China
Junrong Yan relative to Jingjing Miao China Jingjing Miao's profile →
Citations per field
00.5×3.4×
Jingjing Miao · 1×
Citations per year

Countries citing papers authored by Junrong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Junrong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junrong Yan, 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 Junrong Yan Line = papers co-authored together Junrong Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017135
2 201594
3 201490
4 201552
5 201848
6 201642
7 201539
8 201438
9 202134
10 201431
11 201930
12 200827
13 201927
14 201821
15 202116
16 202116
17 201816
18 202112
19 202412
20 202310

About Junrong Yan

Junrong Yan is a scholar working on Oncology, Computer Networks and Communications, Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology, having authored 69 papers that have together received 949 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Lung Cancer Treatments and Mutations (12 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Wireless Networks and Protocols (6 papers), Lung Cancer Research Studies (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Mobile Ad Hoc Networks (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (203 citations), Cancer Research (123 citations), Electrochemistry (45 citations), Molecular Biology (470 citations) and Pulmonary and Respiratory Medicine (184 citations). Junrong Yan has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Yakun Wan, Weijun Ou, Dan Wu, Qin Wei, Xiang Ren, Guanghui Li, Yang Shao, Songqin Liu, Yonghong Hu and Henan Li. Their work appears in journals such as Frontiers in Oncology, Frontiers in Immunology, Heliyon, Journal of Clinical Oncology and Translational Lung Cancer Research.

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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