Leili Shahriyari

1.5k citations
33 papers · 811 indexed · 1 hit paper · h-index 16
Topics
Mathematical Biology Tumor Growth (14 papers)Cancer Cells and Metastasis (12 papers)Cancer Genomics and Diagnostics (9 papers)
Partner nations
United StatesCanada

In The Last Decade

Leili Shahriyari

33 papers receiving 800 citations

Hit Papers

Digital twins for health: a scoping review202420262025202450100150200

Peers

Leili Shahriyari
Comparison fields: 5 of 127
  • Oncology 245
  • Molecular Biology 213
  • Modeling and Simulation 176
  • Pulmonary and Respiratory Medicine 138
  • Cancer Research 134
Replace Pamela Jackson with:
Pamela Jackson United States
Dennis S.C. Lam Hong Kong
Kerri‐Ann Norton United States
Cleo‐Aron Weis Germany
Narmin Ghaffari Laleh Germany
Xiaobo Zhou United States
Luís A. Pérez-Romasanta Spain
Yingtao Bi United States
Shigao Huang China
Georgios C. Manikis Greece
Leili Shahriyari relative to Pamela Jackson United States Pamela Jackson's profile →
Citations per field
00.5×4.0×
Pamela Jackson · 1×
Citations per year

Countries citing papers authored by Leili Shahriyari

Since Specialization
Citations

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

Fields of papers citing papers by Leili Shahriyari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leili Shahriyari

This figure shows the co-authorship network connecting the top 25 collaborators of Leili Shahriyari. A scholar is included among the top collaborators of Leili Shahriyari 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 Leili Shahriyari. Leili Shahriyari 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 1
2
Digital twins for health: a scoping reviewbreakdown →
220
3 6
4 4
5 6
6 7
7 15
8 23
9 17
10 26
11 28
12 26
13 25
14
Identification of novel targeted therapies for BAP1 mutated tumors
1
15 2
16 11
17 5
18 11
19 28
20 92

About Leili Shahriyari

Leili Shahriyari is a scholar working on Modeling and Simulation, Oncology and Health Informatics, having authored 33 papers that have together received 811 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (14 papers), Cancer Cells and Metastasis (12 papers) and Cancer Genomics and Diagnostics (9 papers). The work is most often cited by research in Modeling and Simulation (176 citations), Health Informatics (35 citations) and Oncology (245 citations). Leili Shahriyari has collaborated with scholars based in United States and Canada. Frequent co-authors include Natalia L. Komarova, Pamela Jackson, Tanveer Syeda-Mahmood, Evangelia Katsoulakis, Qi Wang, Jun Deng, Richard Tuli, Jinwei Liu, Ying Xiao and Huanmei Wu. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Theoretical Biology.

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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