Bin Cheng

7.6k citations
126 papers · 6.0k indexed · 3 hit papers · h-index 32

Bin Cheng

110 papers receiving 5.8k citations

Hit Papers

Estrogens Attenuate and Corticosterone Exacerbates Excito...70819922026200320144008001.2k

Peers

Bin Cheng
Comparison fields: 5 of 161
  • Developmental Neuroscience 437
  • Periodontics 436
  • Cellular and Molecular Neuroscience 1.6k
  • Physiology 2.3k
  • Neurology 568
Replace Erin L. Abner with:
Erin L. Abner United States
Giuseppe Rengo Italy
Elizabeth R. Seaquist United States
Masafumi Ihara Japan
Daniela Galimberti Italy
Chaur‐Jong Hu Taiwan
Elizabeth H. Corder United States
Juan Fortea Spain
Axel Montagne United States
Bin Cheng relative to Erin L. Abner United States Erin L. Abner's profile →
Citations per field
00.5×2.8×
Erin L. Abner · 1×
Citations per year

Countries citing papers authored by Bin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Bin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20242
4 20230
5 202311
6 20231
7 20232
8 20217
9 202051
10 201923
11 2018114
12 20188
13 20148
14 201210
15 20091
16 2008150
17 2007167
18 199382
19
Evidence for excitoprotective and intraneuronal calcium-regulating roles for secreted forms of the β-amyloid precursor proteinbreakdown →
1993649
20 1991412

About Bin Cheng

Bin Cheng is a scholar working on Periodontics, Statistics and Probability, Developmental Neuroscience, Research and Theory and Cardiology and Cardiovascular Medicine, having authored 126 papers that have together received 6.0k indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (19 papers), Statistical Methods in Clinical Trials (14 papers), Dental Health and Care Utilization (12 papers), Optimal Experimental Design Methods (8 papers), Cardiac pacing and defibrillation studies (8 papers), Oral Health Pathology and Treatment (7 papers), Cardiac Arrhythmias and Treatments (7 papers) and Diet and metabolism studies (6 papers). The work is most often cited by research in Developmental Neuroscience (437 citations), Periodontics (436 citations), Cellular and Molecular Neuroscience (1.6k citations), Physiology (2.3k citations) and Neurology (568 citations). Bin Cheng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mark P. Mattson, MP Mattson, Ivan Lieberburg, R E Rydel, Katherine Bryant, David L. Davis, Yadong Goodman, Annadora J. Bruce, Alan R. Culwell and Russell E. Rydel. Their work appears in journals such as Journal Of Clinical Periodontology, Journal of Biopharmaceutical Statistics, Medical Physics, Journal of Dental Research and Contemporary Clinical Trials.

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

Rankless by CCL
2026