Fangru Lian

957 citations
29 papers · 686 indexed · h-index 14
Topics
AI in cancer detection (4 papers)Cancer-related Molecular Pathways (3 papers)Radiology practices and education (3 papers)

In The Last Decade

Fangru Lian

27 papers receiving 670 citations

Peers

Fangru Lian
Comparison fields: 5 of 103
  • Molecular Biology 261
  • Pathology and Forensic Medicine 141
  • Oncology 121
  • Artificial Intelligence 118
  • Epidemiology 99
Replace Fiorella Guadagni with:
Fiorella Guadagni Italy
Louise Wilkinson United Kingdom
Michel Pétein Belgium
Eric U. Yee United States
Shinichi Katsuki Japan
Naiem T. Issa United States
Fahad Shabbir Ahmed United States
Teguh Aryandono Indonesia
Kohei Kurokawa Japan
Isam‐Eldin Eltoum United States
Fangru Lian relative to Fiorella Guadagni Italy Fiorella Guadagni's profile →
Citations per field
00.5×1.5×2.1×
Fiorella Guadagni · 1×
Citations per year

Countries citing papers authored by Fangru Lian

Since Specialization
Citations

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

Fields of papers citing papers by Fangru Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangru Lian

This figure shows the co-authorship network connecting the top 25 collaborators of Fangru Lian. A scholar is included among the top collaborators of Fangru Lian 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 Fangru Lian. Fangru Lian 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
#WorkIndexed citations
1 7
2 0
3 1
4 2
5 2
6 11
7 55
8 12
9 41
10 0
11 55
12 22
13 33
14 47
15 66
16 17
17 13
18 1
19 89
20 111

About Fangru Lian

Fangru Lian is a scholar working on Family Practice, Endocrinology and Pathology and Forensic Medicine, having authored 29 papers that have together received 686 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Cancer-related Molecular Pathways (3 papers) and Radiology practices and education (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (141 citations), Health Informatics (9 citations) and Biophysics (37 citations). Fangru Lian has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Yiwei Li, Mohammad Shamsul Alam Bhuiyan, F. H. Sarkar, A. K. Bhattacharyya, Michael Kraut, Fazlul H. Sarkar, Yiwei Li, Nathan R. Wall, Anna R. Graham and Ronald S. Weinstein. Their work appears in journals such as Biochemistry, The American Journal of Medicine and Annals of Oncology.

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