Grace Chiang

1.3k citations
18 papers · 1.1k · h-index 16

Impact in

Papers in

Grace Chiang

18 papers receiving 1.0k citations

Peers

Grace Chiang
Comparison fields: 5 of 102
  • Biochemistry 192
  • Cellular and Molecular Neuroscience 440
  • Clinical Biochemistry 114
  • Virology 42
  • Developmental Neuroscience 35
Replace Morris D. Faiman with:
Morris D. Faiman United States
Takashi Okura Japan
Sankar Surendran United States
Kazutaka Momose Japan
Christian T. Sheline United States
Robert E. Burrier United States
Juan Zhang China
Stefan Gölz Germany
Norbert Kolassa Germany
Conny Edlund Sweden
Grace Chiang relative to Morris D. Faiman United States Morris D. Faiman's profile →
Citations per field
00.5×3.5×
Morris D. Faiman · 1×
Citations per year

Countries citing papers authored by Grace Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Grace Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Grace Chiang, 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 Chiang Line = papers co-authored together Grace Chiang links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1979351
2 1979124
3 198188
4 199687
5 199781
6 197857
7 198347
8 197645
9 198631
10
Evaluation and application of alumina-based Rb-82 generators charged with high levels of Sr-82/85.
197927
11 198123
12 198823
13 198121
14 197621
15 197618
16 198418
17 19819
18 19802

About Grace Chiang

Grace Chiang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Nutrition and Dietetics, Infectious Diseases and Virology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), RNA modifications and cancer (4 papers), HIV/AIDS drug development and treatment (2 papers), Sulfur Compounds in Biology (2 papers), Cancer-related gene regulation (2 papers), RNA and protein synthesis mechanisms (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Biochemistry (192 citations), Cellular and Molecular Neuroscience (440 citations), Clinical Biochemistry (114 citations), Virology (42 citations) and Developmental Neuroscience (35 citations). Grace Chiang has collaborated with scholars based in United States. Frequent co-authors include Carl W. Cotman, Anders Hamberger, Stephen W. Scheff, Eric Nylén, Stefan Unger, Kirk Sperber, Kurt Randerath, Massimo Sassaroli, Michael J. Louie and Vera J. Stecher. Their work appears in journals such as Brain Research, Biochemical and Biophysical Research Communications, Journal of Agricultural and Food Chemistry, Clinical Therapeutics and Journal of Medicinal Chemistry.

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.

Explore authors with similar magnitude of impact