Hong Chang

1.5k citations
62 papers · 833 indexed · h-index 18

Hong Chang

59 papers receiving 828 citations

Peers

Hong Chang
Comparison fields: 5 of 112
  • Biological Psychiatry 57
  • Genetics 279
  • Psychiatry and Mental health 106
  • Behavioral Neuroscience 24
  • Molecular Biology 400
Replace Cynthia Camarillo with:
Cynthia Camarillo United States
M Dvořáková Czechia
Minhan Ka South Korea
Paula Martínez Spain
Chi‐Yu Lai Taiwan
Alfredo Bellon United States
Hongyan Jiang China
Yeimy González‐Giraldo Colombia
Junyang Wang China
Maik Grohmann Germany
Hong Chang relative to Cynthia Camarillo United States Cynthia Camarillo's profile →
Citations per field
00.5×4.7×
Cynthia Camarillo · 1×
Citations per year

Countries citing papers authored by Hong Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hong Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20253
3 20251
4 20241
5 20245
6 20241
7 20240
8 20244
9 20232
10 20233
11 20221
12 20224
13 202222
14 201951
15 201816
16 20189
17 20171
18 201743
19 201612
20
Oligocene termination of shortening and initiation of volcanism in the northern Tibetan Plateau: Early removal of Tibetan mantle lithosphere?
20151

About Hong Chang

Hong Chang is a scholar working on Fuel Technology, Aging, Genetics, Filtration and Separation and Family Practice, having authored 62 papers that have together received 833 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (18 papers), Genetics and Neurodevelopmental Disorders (14 papers), Genomic variations and chromosomal abnormalities (10 papers), Genomics and Rare Diseases (5 papers), Epigenetics and DNA Methylation (5 papers), Bipolar Disorder and Treatment (4 papers), Genetic Syndromes and Imprinting (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Biological Psychiatry (57 citations), Genetics (279 citations), Psychiatry and Mental health (106 citations), Behavioral Neuroscience (24 citations) and Molecular Biology (400 citations). Hong Chang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ming Li, Xiao Xiao, Xue Xiao, Ming Li, Yi Cao, Xin Cai, Hongyu Zhang, Lingyi Li, Huijuan Li and Xiong‐Jian Luo. Their work appears in journals such as Molecular Psychiatry, Translational Psychiatry, Schizophrenia Bulletin, Scientia Horticulturae and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

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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