Weihong Sun

2.6k citations
103 papers · 1.6k · h-index 23

Impact in

Papers in

    • Breast Cancer Treatment Studies 31
    • Genomics and Phylogenetic Studies 8
    • Plant Gene Expression Analysis 6
    • RNA modifications and cancer 4

Weihong Sun

95 papers receiving 1.6k citations

Peers

Weihong Sun
Comparison fields: 5 of 131
  • Cancer Research 328
  • Genetics 129
  • Oncology 322
  • Immunology 208
  • Molecular Biology 620
Replace Kunhong Kim with:
Kunhong Kim South Korea
Helén Nilsson Sweden
W. Ébert Germany
Antônio Palumbo Brazil
Lise Lotte Hansen Denmark
Kouhei Yamamoto Japan
Zhixian Sun China
Mohammad Aslam Khan United States
Raktim Sinha United States
Simona Mozzetti Italy
Weihong Sun relative to Kunhong Kim South Korea Kunhong Kim's profile →
Citations per field
00.5×5.7×
Kunhong Kim · 1×
Citations per year

Countries citing papers authored by Weihong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Weihong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016185
2 201586
3 201672
4 202072
5 202164
6 202163
7 201862
8 201760
9 201552
10 201652
11 201839
12 202039
13 201933
14 201932
15 202429
16
Sequelae of fat grafting postmastectomy: an algorithm for management of fat necrosis.
201228
17 202026
18 202126
19 201825
20 202025

About Weihong Sun

Weihong Sun is a scholar working on Cancer Research, Molecular Biology, Surgery, Pathology and Forensic Medicine and Oncology, having authored 103 papers that have together received 1.6k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (31 papers), Breast Lesions and Carcinomas (21 papers), Breast Implant and Reconstruction (19 papers), Genomics and Phylogenetic Studies (8 papers), BRCA gene mutations in cancer (7 papers), Plant Gene Expression Analysis (6 papers), HER2/EGFR in Cancer Research (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (328 citations), Genetics (129 citations), Oncology (322 citations), Immunology (208 citations) and Molecular Biology (620 citations). Weihong Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ding Liu, Christine Laronga, Yufang Shi, Yin Huang, Yuping Han, Pengfei Yu, Ying Wang, Liangyu Lin, Arnold B. Rabson and Qun Li. Their work appears in journals such as Journal of Surgical Research, Emerging Markets Finance and Trade, The American Journal of Surgery, Annals of Plastic Surgery and Economic Modelling.

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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