Chenxi Li

990 citations
60 papers · 633 · h-index 14

Impact in

Papers in

    • Olfactory and Sensory Function Studies 13
    • Statistical Methods and Inference 13
    • Statistical Methods and Bayesian Inference 11
    • Advanced Causal Inference Techniques 5

Chenxi Li

55 papers receiving 627 citations

Peers

Chenxi Li
Comparison fields: 5 of 134
  • Aging 26
  • Statistics and Probability 99
  • Sensory Systems 57
  • Reproductive Medicine 43
  • Pediatrics, Perinatology and Child Health 86
Replace Marilyn C. Cornelis with:
Marilyn C. Cornelis United States
C. Alex McMahan United States
Hsin‐Chou Yang Taiwan
Benjamin Jung Canada
Bratati Kahali India
Ching‐Yun Wang United States
Terri L. Cornelison United States
Yilin Chen China
Mette Langaas Norway
Jingyu Zhang China
Chenxi Li relative to Marilyn C. Cornelis United States Marilyn C. Cornelis's profile →
Citations per field
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Marilyn C. Cornelis · 1×
Citations per year

Countries citing papers authored by Chenxi Li

Since Specialization
Citations

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

Fields of papers citing papers by Chenxi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201559
2 202151
3 202049
4 201649
5 201038
6 201427
7 201922
8 201818
9 202218
10 201517
11 201517
12 202117
13 202116
14 201714
15 201713
16 201313
17 201612
18 201411
19 202211
20 202210

About Chenxi Li

Chenxi Li is a scholar working on Sensory Systems, Statistics and Probability, Molecular Biology, Nutrition and Dietetics and Health, Toxicology and Mutagenesis, having authored 60 papers that have together received 633 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Olfactory and Sensory Function Studies (13 papers), Statistical Methods and Bayesian Inference (11 papers), Biochemical Analysis and Sensing Techniques (8 papers), Urban Green Space and Health (5 papers), Advanced Causal Inference Techniques (5 papers), Allergic Rhinitis and Sensitization (4 papers) and Genetic Associations and Epidemiology (4 papers). The work is most often cited by research in Aging (26 citations), Statistics and Probability (99 citations), Sensory Systems (57 citations), Reproductive Medicine (43 citations) and Pediatrics, Perinatology and Child Health (86 citations). Chenxi Li has collaborated with scholars based in United States, China and Malawi. Frequent co-authors include N. Maritza Dowling, David Todem, Rick Chappell, Honglei Chen, Zhehui Luo, Sien Deng, Daniel M. Bolt, Eleanor M. Simonsick, Eric J. Shiroma and Michael G. Hudgens. Their work appears in journals such as Statistical Methods in Medical Research, The Journals of Gerontology Series A, Biometrics, PLoS ONE and Movement Disorders.

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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