Linlin Su

68 papers receiving 1.1k citations

Peers

Linlin Su
Comparison fields: 5 of 126
  • Obstetrics and Gynecology 227
  • Pediatrics, Perinatology and Child Health 299
  • Modeling and Simulation 63
  • Public Health, Environmental and Occupational Health 357
  • Epidemiology 199
Replace Kenji Imai with:
Kenji Imai Japan
Hani Kim United States
Martina Kollmann Austria
Ariella Glasner Israel
Bogdan Doroftei Romania
Elvezia Maria Paraboschi Italy
Åsa Edvinsson Sweden
Jonathan Herskovitz United States
Linlin Su relative to Kenji Imai Japan Kenji Imai's profile →
Citations per field
00.5×3.6×
Kenji Imai · 1×
Citations per year

Countries citing papers authored by Linlin Su

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Linlin Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Linlin Su Line = papers co-authored together Linlin Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015188
2 2007134
3 2012119
4 201255
5 201948
6 201047
7 200440
8 201640
9 201433
10 201026
11 201025
12 202323
13 201622
14 201621
15 200517
16 201816
17 201016
18 201916
19 201216
20 201916

About Linlin Su

Linlin Su is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Electrical and Electronic Engineering, Materials Chemistry and Genetics, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Evolution and Genetic Dynamics (10 papers), Mathematical Biology Tumor Growth (9 papers), Advanced Optical Sensing Technologies (6 papers), Semiconductor Quantum Structures and Devices (5 papers), Maternal and Perinatal Health Interventions (5 papers), GaN-based semiconductor devices and materials (4 papers) and Quantum Dots Synthesis And Properties (4 papers). The work is most often cited by research in Obstetrics and Gynecology (227 citations), Pediatrics, Perinatology and Child Health (299 citations), Modeling and Simulation (63 citations), Public Health, Environmental and Occupational Health (357 citations) and Epidemiology (199 citations). Linlin Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yap Seng Chong, Miny Samuel, Yiong‐Huak Chan, Arijit Biswas, Mary Rauff, Doris Fok, Wei‐Ming Ni, Mahesh Choolani, Sabaratnam Arulkumaran and Yuan Lou. Their work appears in journals such as Journal of Differential Equations, Cochrane Database of Systematic Reviews, Discrete and Continuous Dynamical Systems, Optics Express and Theoretical Population 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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