Grace Li

44 papers receiving 812 citations

Peers

Grace Li
Comparison fields: 5 of 127
  • Applied Microbiology and Biotechnology 24
  • Applied Psychology 53
  • Physiology 186
  • Cellular and Molecular Neuroscience 114
  • Behavioral Neuroscience 22
Replace I‐Hsin Lin with:
I‐Hsin Lin United States
Xiaosi Li China
Lu Tian China
Xu Li China
Xiaodan Xu China
Shruti Srivastava India
Yingyu Liu China
Yuan Fang China
Ping Zeng China
Qi Huang China
Grace Li relative to I‐Hsin Lin United States I‐Hsin Lin's profile →
Citations per field
00.5×4.8×
I‐Hsin Lin · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008139
2 2005118
3 201877
4 200961
5 201447
6 202040
7 200636
8 201625
9 201324
10 202221
11 201218
12 202018
13 201816
14 201915
15 202315
16 201114
17 201713
18 202312
19 201812
20 201811

About Grace Li

Grace Li is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Molecular Biology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 51 papers that have together received 829 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (7 papers), Stress Responses and Cortisol (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Hormonal and reproductive studies (4 papers), Alzheimer's disease research and treatments (3 papers), Behavioral Health and Interventions (3 papers) and Pharmaceutical studies and practices (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (24 citations), Applied Psychology (53 citations), Physiology (186 citations), Cellular and Molecular Neuroscience (114 citations) and Behavioral Neuroscience (22 citations). Grace Li has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jan M. Bruder, Diane Hoffman–Kim, Régis Pomès, Dennis A. Johnston, Md. Badruz Zaman, Kui Yu, Xiaohua Wu, Jianying Ouyang, Christopher I. Ratcliffe and Ruth I. Wood. Their work appears in journals such as International Journal of Environmental Research and Public Health, The Journal of Physical Chemistry C, The Journal of Physical Chemistry B, Addiction and Behavioral Neuroscience.

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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