Connie Cheng

24 papers receiving 1.5k citations

Peers

Connie Cheng
Comparison fields: 5 of 120
  • Molecular Medicine 111
  • Surfaces, Coatings and Films 122
  • Biomaterials 200
  • Immunology 240
  • Pharmacology 94
Replace Jinbing Xie with:
Jinbing Xie China
Vibhudutta Awasthi United States
Hamidreza Montazeri Aliabadi United States
Qin Shi Canada
Pravin Chaturvedi United States
Adam W. G. Alani United States
Cheng‐Chieh Tsai Taiwan
Hee Dong Han South Korea
Nan Zheng China
Xiaohua Jiang China
Connie Cheng relative to Jinbing Xie China Jinbing Xie's profile →
Citations per field
00.5×4.1×
Jinbing Xie · 1×
Citations per year

Countries citing papers authored by Connie Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Connie Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009387
2 2013283
3 2008173
4 2012106
5 201199
6 198668
7 200865
8 201662
9 201754
10 201443
11 201235
12 201428
13 201022
14 201821
15 202017
16 201217
17 201616
18 202113
19 201513
20 201812

About Connie Cheng

Connie Cheng is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Developmental Neuroscience, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers), Piperaceae Chemical and Biological Studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Chemotherapy-related skin toxicity (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Molecular Medicine (111 citations), Surfaces, Coatings and Films (122 citations), Biomaterials (200 citations), Immunology (240 citations) and Pharmacology (94 citations). Connie Cheng has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Patrick S. Stayton, Anthony J. Convertine, James D. Bryers, Dean E. Brenner, Madhuri Kakarala, Laurie C. Doering, Max S. Wicha, Suling Liu, Hasan Körkaya and Gabriela Dontu. Their work appears in journals such as Biomaterials, Hepatology, Neural Plasticity, Journal of Agricultural and Food Chemistry and Results and problems in cell differentiation.

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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