Xinhui Su

476 total citations
51 papers, 266 citations indexed

About

Xinhui Su is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xinhui Su has authored 51 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 13 papers in Pulmonary and Respiratory Medicine and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xinhui Su's work include Peptidase Inhibition and Analysis (9 papers), Nanoplatforms for cancer theranostics (9 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Xinhui Su is often cited by papers focused on Peptidase Inhibition and Analysis (9 papers), Nanoplatforms for cancer theranostics (9 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Xinhui Su collaborates with scholars based in China, United States and Germany. Xinhui Su's co-authors include Nian Liu, Xiaolian Sun, Jingru Guo, Qiang Wang, Junpeng Shi, Zhenyu Hou, Hongwu Zhang, Liming Xia, Yang Liu and Shuye Yang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Xinhui Su

37 papers receiving 263 citations

Peers

Xinhui Su
Comparison fields: 5 of 62
  • Biomedical Engineering 102
  • Materials Chemistry 82
  • Pulmonary and Respiratory Medicine 59
  • Radiology, Nuclear Medicine and Imaging 54
  • Oncology 51
Replace Kendra M. Hasebroock with:
Kendra M. Hasebroock United States
Junkang Shen China
Lorraine J. Lauwerends Netherlands
Andrew Badachhape United States
Gao‐Jun Teng China
Wenkun Bai China
Valérie Jouan–Hureaux France
Hunter A. Miller United States
Caiyue Ren China
Nadia Bouraoud United States
Kendra M. Hasebroock United States View profile →
Citations per field, relative to Xinhui Su
Xinhui Su · 1×
Citations per year, relative to Xinhui Su
Xinhui Su · 1×

Countries citing papers authored by Xinhui Su

Since Specialization
Citations

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

Fields of papers citing papers by Xinhui Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhui Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhui Su. A scholar is included among the top collaborators of Xinhui Su 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 Xinhui Su. Xinhui Su 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 0
2 0
3 0
4 1
5 0
6 1
7 2
8 0
9 10
10 4
11 1
12 0
13 2
14 7
15 11
16 2
17 2
18 2
19 7
20 16

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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