Ruoran Li

4.8k citations
29 papers · 2.6k · 1 hit paper · h-index 11

Impact in

Papers in

Ruoran Li

28 papers receiving 2.5k citations

Ruoran Li's Hit Papers

The effect of human mobility and control measures on the COVID-19 epidemic in China 2020 · 2.0k citations
2.0k0+2+4Years since publication50010001.5k

Peers

Ruoran Li
Comparison fields: 5 of 154
  • Modeling and Simulation 1.4k
  • Transportation 333
  • Economics and Econometrics 627
  • Health 126
  • Infectious Diseases 291
Replace Maylis Layan with:
Maylis Layan France
Brennan Klein United States
Chia-Hung Yang United States
Kunpeng Mu China
Xinyue Xiong China
Corrado Gioannini Italy
Jessica T. Davis United States
Kaiyuan Sun United States
Matteo Chinazzi United States
Ana Pastore y Piontti United States
Ruoran Li relative to Maylis Layan France Maylis Layan's profile →
Citations per field
00.5×1.5×
Maylis Layan · 1×
Citations per year

Countries citing papers authored by Ruoran Li

Since Specialization
Citations

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

Fields of papers citing papers by Ruoran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ruoran Li, 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 Ruoran Li Line = papers co-authored together Ruoran Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The effect of human mobility and control measures on the COVID-19 epidemic in China
Hit paper breakdown →
20201962
2 2020146
3 201381
4 202078
5 202060
6 201247
7 201643
8 201633
9 201419
10 201519
11 202110
12 202310
13 20188
14 20158
15 20248
16 20208
17 20227
18 20246
19 20235
20 20214

About Ruoran Li

Ruoran Li is a scholar working on Oncology, Infectious Diseases, Economics and Econometrics, Materials Chemistry and Surgery, having authored 29 papers that have together received 2.6k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (4 papers), Catalytic Processes in Materials Science (3 papers), Advanced Causal Inference Techniques (2 papers), Advanced Photocatalysis Techniques (2 papers), COVID-19 epidemiological studies (2 papers), Tuberculosis Research and Epidemiology (2 papers), Catalysis and Oxidation Reactions (2 papers) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Modeling and Simulation (1.4k citations), Transportation (333 citations), Economics and Econometrics (627 citations), Health (126 citations) and Infectious Diseases (291 citations). Ruoran Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Brennan Klein, William P. Hanage, Bernardo Gutiérrez, Alessandro Vespignani, Christopher Dye, Oliver G. Pybus, Nuno R. Faria, Maylis Layan, Louis du Plessis and David M. Pigott. Their work appears in journals such as BMJ Open, American Journal of Infection Control, The Lancet Infectious Diseases, European Journal of Epidemiology and Journal of Alloys and Compounds.

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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