Hui Nian

5.1k total citations
116 papers, 3.5k citations indexed

About

Hui Nian is a scholar working on Pathology and Forensic Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hui Nian has authored 116 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pathology and Forensic Medicine, 31 papers in Surgery and 20 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hui Nian's work include Spine and Intervertebral Disc Pathology (28 papers), Diabetes Treatment and Management (13 papers) and Cervical and Thoracic Myelopathy (13 papers). Hui Nian is often cited by papers focused on Spine and Intervertebral Disc Pathology (28 papers), Diabetes Treatment and Management (13 papers) and Cervical and Thoracic Myelopathy (13 papers). Hui Nian collaborates with scholars based in United States, China and Canada. Hui Nian's co-authors include Frank E. Harrell, Roderick H. Dashwood, Chang Yu, Nancy J. Brown, Qingxia Chen, Barbara Delage, Kevin B. Johnson, John T. Pinto, Anthony L. Asher and J. Kenneth Burkus and has published in prestigious journals such as New England Journal of Medicine, Circulation and PLoS ONE.

In The Last Decade

Hui Nian

108 papers receiving 3.5k citations

Peers

Hui Nian
Comparison fields: 5 of 164
  • Surgery 918
  • Pathology and Forensic Medicine 889
  • Molecular Biology 588
  • Pharmacology 407
  • Pulmonary and Respiratory Medicine 370
Replace Lorenza Scotti with:
Lorenza Scotti Italy
Janet E. Olson United States
Kwon Wook Joo South Korea
Yu-Tang Gao United States
Deirdre Cronin‐Fenton Denmark
Veronica Wendy Setiawan United States
Yoshikazu Nishino Japan
Jessica Chubak United States
Akira Fukao Japan
Crystal A. Gadegbeku United States
Lorenza Scotti Italy View profile →
Citations per field, relative to Hui Nian
Hui Nian · 1×
Citations per year, relative to Hui Nian
Hui Nian · 1×

Countries citing papers authored by Hui Nian

Since Specialization
Citations

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

Fields of papers citing papers by Hui Nian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Nian

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Nian. A scholar is included among the top collaborators of Hui Nian 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 Hui Nian. Hui Nian 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 4
4 3
5 5
6 27
7 16
8 131
9 13
10 133
11 67
12 17
13 66
14 59
15 16
16 9
17 32
18 30
19 82
20 178

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026