Benjamin Tsang

28 papers receiving 334 citations

Peers

Benjamin Tsang
Comparison fields: 5 of 60
  • Cell Biology 206
  • Physiology 14
  • Pediatrics, Perinatology and Child Health 37
  • Health, Toxicology and Mutagenesis 32
  • Small Animals 13
Replace Priscila Fernandes Silva with:
Priscila Fernandes Silva Brazil
Amanda Facciol Canada
Ashton Jeremy Friend United States
Damiyon Sledge United States
Magda Nowicki Canada
Holly A. Richendrfer United States
Avdesh Avdesh Australia
Fernanda Francine Zimmermann Brazil
Russell Riehl United States
Rafael Vargas Colombia
Benjamin Tsang relative to Priscila Fernandes Silva Brazil Priscila Fernandes Silva's profile →
Citations per field
00.5×2×3×3.7×
Priscila Fernandes Silva · 1×
Citations per year

Countries citing papers authored by Benjamin Tsang

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Benjamin Tsang, 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 Benjamin Tsang Line = papers co-authored together Benjamin Tsang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 201651
3 202025
4 201918
5 202218
6 201917
7 202316
8 201815
9 201915
10 202011
11 202010
12 20179
13 20188
14 20228
15 20248
16 20237
17 20216
18 20205
19 20235
20 20234

About Benjamin Tsang

Benjamin Tsang is a scholar working on Cell Biology, Pediatrics, Perinatology and Child Health, Clinical Psychology, Endocrine and Autonomic Systems and Statistics, Probability and Uncertainty, having authored 28 papers that have together received 342 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (22 papers), Prenatal Substance Exposure Effects (4 papers), Psychedelics and Drug Studies (4 papers), Statistical Methods and Bayesian Inference (1 paper), Doctoral Education Challenges and Solutions (1 paper), Career Development and Diversity (1 paper), Circadian rhythm and melatonin (1 paper) and Benford’s Law and Fraud Detection (1 paper). The work is most often cited by research in Cell Biology (206 citations), Physiology (14 citations), Pediatrics, Perinatology and Child Health (37 citations), Health, Toxicology and Mutagenesis (32 citations) and Small Animals (13 citations). Benjamin Tsang has collaborated with scholars based in Canada and United Kingdom. Frequent co-authors include Robert T. Gerlai, Amanda Facciol, Steven Tran, Magda Nowicki, Rotem Petranker, Sean M. Nestor, Nir Lipsman, Muhammad Ishrat Husain and Peter Giacobbe. Their work appears in journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, Neuroscience & Biobehavioral Reviews, Zebrafish, Nature and Physiology & Behavior.

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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