Benjamin Heng

2.5k citations
72 papers · 2.0k · h-index 25

Impact in

Papers in

Benjamin Heng

68 papers receiving 1.9k citations

Peers

Benjamin Heng
Comparison fields: 5 of 77
  • Biological Psychiatry 227
  • Oncology 205
  • Neurology 101
  • Epidemiology 219
  • Molecular Biology 248
Replace Jacek M. Kwiecień with:
Jacek M. Kwiecień Canada
Jing Yu China
Anne Waschbisch Germany
Pingwei Zhao United States
Eun Mi Hur United States
H. Ralph Snodgrass United States
Sascha Kahlfuß Germany
Hiroko Nakatsukasa Japan
Benjamin Heng relative to Jacek M. Kwiecień Canada Jacek M. Kwiecień's profile →
Citations per field
00.5×5×10×12.6×
Jacek M. Kwiecień · 1×
Citations per year

Countries citing papers authored by Benjamin Heng

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Heng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009150
2 2012137
3 2015118
4 201584
5 202083
6 201467
7 200963
8 202159
9 201558
10 201056
11 202053
12 202050
13 201048
14 201342
15 202340
16 202036
17 202335
18 202234
19 201932
20 201531

About Benjamin Heng

Benjamin Heng is a scholar working on Biological Psychiatry, Psychiatry and Mental health, Genetics, Neurology and Physiology, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (16 papers), Glioma Diagnosis and Treatment (4 papers), Cervical Cancer and HPV Research (3 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Alzheimer's disease research and treatments (2 papers), Dementia and Cognitive Impairment Research (2 papers), Phosphodiesterase function and regulation (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Biological Psychiatry (227 citations), Oncology (205 citations), Neurology (101 citations), Epidemiology (219 citations) and Molecular Biology (248 citations). Benjamin Heng has collaborated with scholars based in Australia, Indonesia and Brazil. Frequent co-authors include Gilles J. Guillemin, James S. Lawson, Noel J. Whitaker, Wendy K. Glenn, Warick Delprado, Vanessa X. Tan, Mona Dehhaghi, Chai K. Lim, Louise Helen Lutze-Mann and Ananda Staats Pires. Their work appears in journals such as British Journal of Cancer, Journal of Neurochemistry, EBioMedicine, Neurotoxicity Research and Cancers.

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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