Steven Chao

2.2k citations
32 papers · 965 indexed · h-index 15

Impact in

Papers in

Steven Chao

31 papers receiving 951 citations

Peers

Steven Chao
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 431
  • Genetics 196
  • Cognitive Neuroscience 155
  • Hematology 87
  • Neurology 55
Replace Maria Cristina D’Adamo with:
Maria Cristina D’Adamo Italy
R B Innis United States
Ilaria Guella Canada
Jessica A. Boyette-Davis United States
Kim M. Hemsley Australia
Temistocle Lo Giudice Italy
Pernille Koefoed Denmark
María Martínez de Lagrán Spain
Donald A. Kristt United States
Luis E.F. Almeida United States
Steven Chao relative to Maria Cristina D’Adamo Italy Maria Cristina D’Adamo's profile →
Citations per field
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Maria Cristina D’Adamo · 1×
Citations per year

Countries citing papers authored by Steven Chao

Since Specialization
Citations

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

Fields of papers citing papers by Steven Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20225
2 202016
3 201513
4 20153
5 201510
6 20143
7 201314
8 201225
9 20126
10 200612
11 2004219
12 200283
13 2002108
14 200119
15 20010
16 199239
17 199138
18 199036
19 19894
20 198863

About Steven Chao

Steven Chao is a scholar working on Genetics, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 32 papers that have together received 965 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Alzheimer's disease research and treatments (4 papers), Mast cells and histamine (3 papers), Receptor Mechanisms and Signaling (3 papers) and Traumatic Brain Injury Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (431 citations), Genetics (196 citations), Cognitive Neuroscience (155 citations), Hematology (87 citations) and Neurology (55 citations). Steven Chao has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Marina E. Wolf, Julie Chao, Simona Mangiavacchi, Xiu Sun, Daniel A. Peterson, Marjorie A. Ariano, Lee Chao, William Xiong, L Chao and Wenxiao Lu. Their work appears in journals such as American Journal of Roentgenology, Journal of Neurochemistry, EJNMMI Physics, Biochimica et Biophysica Acta (BBA) - General Subjects and American Journal of Geriatric Psychiatry.

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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