Grace Li

45 papers receiving 846 citations

Peers

Grace Li
Comparison fields: 5 of 120
  • Applied Microbiology and Biotechnology 20
  • Physiology 184
  • Behavioral Neuroscience 22
  • Cellular and Molecular Neuroscience 115
  • Materials Chemistry 219
Replace Katharina Braun with:
Katharina Braun Germany
Yingyu Liu China
Xiaosi Li China
John Hulme South Korea
Steven A. Rogers United States
Rina Tanaka Japan
Mengmeng Xu China
Xueyan Jiang China
Xing Wu China
Grace Li relative to Katharina Braun Germany Katharina Braun's profile →
Citations per field
00.5×3.3×
Katharina Braun · 1×
Citations per year

Countries citing papers authored by Grace Li

Since Specialization
Citations

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

Fields of papers citing papers by Grace Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008147
2 2005127
3 201878
4 200964
5 201450
6 202042
7 200638
8 201625
9 201324
10 202222
11 202019
12 201218
13 201917
14 201816
15 202316
16 201114
17 201714
18 202313
19 201912
20 201812

About Grace Li

Grace Li is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 54 papers that have together received 871 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (7 papers), Lung Cancer Diagnosis and Treatment (5 papers), Hormonal and reproductive studies (4 papers), Stress Responses and Cortisol (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Alzheimer's disease research and treatments (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (20 citations), Physiology (184 citations), Behavioral Neuroscience (22 citations), Cellular and Molecular Neuroscience (115 citations) and Materials Chemistry (219 citations). Grace Li has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Diane Hoffman–Kim, Jan M. Bruder, Régis Pomès, Xiaohua Wu, Dennis A. Johnston, Kui Yu, Jianying Ouyang, Christopher I. Ratcliffe, Md. Badruz Zaman and Ruth I. Wood. Their work appears in journals such as International Journal of Environmental Research and Public Health, The Journal of Physical Chemistry B, The Journal of Physical Chemistry C, Addiction and Journal of Virology.

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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