Hong Bu

7.3k total citations
238 papers, 5.1k citations indexed

About

Hong Bu is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Hong Bu has authored 238 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 60 papers in Surgery and 60 papers in Cancer Research. Recurrent topics in Hong Bu's work include Breast Cancer Treatment Studies (32 papers), Tissue Engineering and Regenerative Medicine (23 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Hong Bu is often cited by papers focused on Breast Cancer Treatment Studies (32 papers), Tissue Engineering and Regenerative Medicine (23 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Hong Bu collaborates with scholars based in China, United States and Sweden. Hong Bu's co-authors include Yujun Shi, Ji Bao, Yongjie Zhou, Yi Li, Qiong Wu, Feng Lin, Yujia Wang, Li Li, Zhidan Tu and Bing Wei and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Hong Bu

232 papers receiving 5.1k citations

Peers

Hong Bu
Comparison fields: 5 of 147
  • Molecular Biology 1.9k
  • Surgery 1.3k
  • Cancer Research 1.1k
  • Oncology 1.0k
  • Pulmonary and Respiratory Medicine 692
Replace Hue H. Luu with:
Hue H. Luu United States
Anne‐Christine Bay‐Jensen Denmark
Pieter Koolwijk Netherlands
Rex C. Haydon United States
Giuseppe Pirozzi Italy
Bi‐Sen Ding United States
Virginia Tirino Italy
Shuji Toda Japan
Chao Wan China
Oren M. Tepper United States
Hue H. Luu United States View profile →
Citations per field, relative to Hong Bu
Hong Bu · 1×
Citations per year, relative to Hong Bu
Hong Bu · 1×

Countries citing papers authored by Hong Bu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Bu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Bu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 3
3 25
4 31
5 10
6 44
7 11
8 1
9 3
10 42
11 118
12
[Evaluation of immunohistochemistry HER2 results interpretation in invasive micropapillary carcinoma of the breast].
6
13 20
14
Quantitative real-time polymerase chain reaction is an alternative method for the detection of HER-2 amplification in formalin-fixed paraffin-embedded breast cancer samples.
8
15 56
16
[Prognostic factors of breast cancer].
3
17
[Molecular phenotypes of breast cancer and their clinical application].
1
18 29
19 38
20
[HER2 expression and its prognostic implication in lymph node negative breast carcinoma: a Meta-analysis].
5

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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