Hankui Lu

32 papers receiving 554 citations

Peers

Hankui Lu
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 228
  • Oncology 120
  • Pathology and Forensic Medicine 66
  • Radiology, Nuclear Medicine and Imaging 84
  • Oral Surgery 22
Replace Eduardo Nóbrega Pereira Lima with:
Eduardo Nóbrega Pereira Lima Brazil
L.M. Fig United States
Gui Young Kwon South Korea
S Widgren Switzerland
Samuel Jang United States
Mary F. Cunnane United States
Semen Önder Türkiye
I Yamamoto Japan
H. J. Gallowitsch Austria
Walter A. Merz Switzerland
Hankui Lu relative to Eduardo Nóbrega Pereira Lima Brazil Eduardo Nóbrega Pereira Lima's profile →
Citations per field
00.5×3.3×
Eduardo Nóbrega Pereira Lima · 1×
Citations per year

Countries citing papers authored by Hankui Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hankui Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008114
2 201275
3 200661
4 201044
5 200442
6 201635
7 201230
8 200825
9 200623
10 201216
11 200513
12 200712
13 201512
14 200810
15 20137
16 20087
17 20146
18 20166
19 20136
20 20076

About Hankui Lu

Hankui Lu is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Surgery, Molecular Biology and Rheumatology, having authored 34 papers that have together received 579 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), S100 Proteins and Annexins (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cell death mechanisms and regulation (2 papers), Medical Imaging Techniques and Applications (2 papers), Cancer Diagnosis and Treatment (2 papers), Bone health and treatments (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (228 citations), Oncology (120 citations), Pathology and Forensic Medicine (66 citations), Radiology, Nuclear Medicine and Imaging (84 citations) and Oral Surgery (22 citations). Hankui Lu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Ruisen Zhu, Quan‐Yong Luo, Yongli Yu, Zhibin Yuan, Libo Chen, Libo Chen, Yan Shen, Wen‐Zhen Fu, Wenbin Li and Zeng Zhang. Their work appears in journals such as Thyroid, Clinical Biochemistry, Journal of Nuclear Medicine, Biochemical and Biophysical Research Communications and BioMed Research International.

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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