Shaun Hiu

513 total citations
21 papers, 190 citations indexed

About

Shaun Hiu is a scholar working on Psychiatry and Mental health, Reproductive Medicine and Surgery. According to data from OpenAlex, Shaun Hiu has authored 21 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Psychiatry and Mental health, 5 papers in Reproductive Medicine and 4 papers in Surgery. Recurrent topics in Shaun Hiu's work include Ovarian cancer diagnosis and treatment (5 papers), Dementia and Cognitive Impairment Research (4 papers) and Intraperitoneal and Appendiceal Malignancies (4 papers). Shaun Hiu is often cited by papers focused on Ovarian cancer diagnosis and treatment (5 papers), Dementia and Cognitive Impairment Research (4 papers) and Intraperitoneal and Appendiceal Malignancies (4 papers). Shaun Hiu collaborates with scholars based in United Kingdom, Singapore and United States. Shaun Hiu's co-authors include Andrew Bryant, Raj Naik, Ketankumar Gajjar, Patience Kunonga, Dawn Craig, Luke Vale, Ahmed Elattar, Brett Winter‐Roach, Chathuri Yatawara and Laura C. Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and Cochrane Database of Systematic Reviews.

In The Last Decade

Shaun Hiu

21 papers receiving 188 citations

Peers

Shaun Hiu
Comparison fields: 5 of 60
  • Reproductive Medicine 70
  • Surgery 42
  • Oncology 35
  • Psychiatry and Mental health 31
  • Obstetrics and Gynecology 25
Replace J. Racketa with:
J. Racketa United States
A.S.Q. Kathiresan United States
Susanna Timonen Finland
Lars‐Åke Mattsson Sweden
Oğuzhan Kuru Türkiye
Basilio Pecorino Italy
Filiz Çayan Türkiye
Özlem Seçilmiş Kerimoğlu Türkiye
Qiaoyun Dai China
Jonathan Gravel Canada
J. Racketa United States View profile →
Citations per field, relative to Shaun Hiu
Shaun Hiu · 1×
Citations per year, relative to Shaun Hiu
Shaun Hiu · 1×

Countries citing papers authored by Shaun Hiu

Since Specialization
Citations

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

Fields of papers citing papers by Shaun Hiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaun Hiu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaun Hiu. A scholar is included among the top collaborators of Shaun Hiu 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 Shaun Hiu. Shaun Hiu 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 5
2 1
3 5
4 1
5 2
6 2
7 1
8 10
9 1
10 9
11 9
12 5
13 55
14 13
15 12
16 4
17 5
18 21
19 20
20 1

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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