Jun Jiang

7.5k citations
306 papers · 5.8k · h-index 40

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 2%
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Breast Cancer Treatment Studies 42
    • HER2/EGFR in Cancer Research 10
    • Cancer Immunotherapy and Biomarkers 9

Jun Jiang

289 papers receiving 5.7k citations

Peers

Jun Jiang
Comparison fields: 5 of 134
  • Cancer Research 861
  • Oncology 996
  • Gastroenterology 206
  • Surgery 1k
  • Immunology 430
Replace Zsolt Tulassay with:
Zsolt Tulassay Hungary
Ichiro Hirata Japan
José Manuel Lopes Portugal
Kazuhide Yamamoto Japan
Matthias Evert Germany
Tsunekazu Mizushima Japan
Antonietta D’Errico Italy
Frank Dombrowski Germany
Emmanuelle Leteurtre France
Jun Zhang China
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Citations per field
00.5×2×3.4×
Zsolt Tulassay · 1×
Citations per year

Countries citing papers authored by Jun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 306 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014184
2 2017182
3 2015144
4 2018123
5
Mechanism, safety and efficacy of three tyrosine kinase inhibitors lapatinib, neratinib and pyrotinib in HER2-positive breast cancer.
2019119
6 2018114
7 2018106
8 201798
9 202398
10 201797
11 201596
12 201092
13 201991
14 201881
15 200877
16 202077
17 201275
18 201675
19 201172
20 200961

About Jun Jiang

Jun Jiang is a scholar working on Cancer Research, Oncology, Surgery, Gastroenterology and Pathology and Forensic Medicine, having authored 306 papers that have together received 5.8k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (42 papers), Scoliosis diagnosis and treatment (34 papers), Breast Lesions and Carcinomas (15 papers), Gastrointestinal motility and disorders (14 papers), Breast Implant and Reconstruction (11 papers), HER2/EGFR in Cancer Research (10 papers), Thyroid and Parathyroid Surgery (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). The work is most often cited by research in Cancer Research (861 citations), Oncology (996 citations), Gastroenterology (206 citations), Surgery (1k citations) and Immunology (430 citations). Jun Jiang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaowei Qi, Bangping Qian, Linjun Fan, Minghao Wang, Bin Wang, Yaqing Chen, Yong Qiu, Saihu Mao, Xinhua Yang and Yi Zhang. Their work appears in journals such as Spine, European Spine Journal, Scientific Reports, PLoS ONE and Annals of Oncology.

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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