Iris P.L. Wong

679 citations
11 papers · 415 · h-index 11

Impact in

Papers in

Iris P.L. Wong

11 papers receiving 407 citations

Peers

Iris P.L. Wong
Comparison fields: 5 of 69
  • Endocrine and Autonomic Systems 92
  • Orthopedics and Sports Medicine 32
  • Cellular and Molecular Neuroscience 61
  • Pathology and Forensic Medicine 51
  • Behavioral Neuroscience 10
Replace Yang-Ho Choi with:
Yang-Ho Choi United States
Hideya Sakakibara Japan
Doreen Zegers Belgium
Xiaoliang Qiu United States
Edvin Ingberg Sweden
T Hosokawa Japan
S Nakamura Japan
Yoshihito Inoue Japan
J Knudtzon Norway
F Brivio Italy
Iris P.L. Wong relative to Yang-Ho Choi United States Yang-Ho Choi's profile →
Citations per field
00.5×5.7×
Yang-Ho Choi · 1×
Citations per year

Countries citing papers authored by Iris P.L. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Iris P.L. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iris P.L. Wong. 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 Iris P.L. Wong. The network helps show where Iris P.L. Wong may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201082
2 201267
3 201755
4 202042
5 201236
6 201534
7 201029
8 200826
9 200816
10 201215
11 201213

About Iris P.L. Wong

Iris P.L. Wong is a scholar working on Epidemiology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Physiology and Surgery, having authored 11 papers that have together received 415 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Neuropeptides and Animal Physiology (3 papers), Regulation of Appetite and Obesity (3 papers), Bone health and osteoporosis research (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Anesthesia and Pain Management (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (92 citations), Orthopedics and Sports Medicine (32 citations), Cellular and Molecular Neuroscience (61 citations), Pathology and Forensic Medicine (51 citations) and Behavioral Neuroscience (10 citations). Iris P.L. Wong has collaborated with scholars based in Australia, United States and Finland. Frequent co-authors include Herbert Herzog, Paul A. Baldock, Amanda Sainsbury, Amy Nguyen, Ronaldo F. Enriquez, Yan‐Chuan Shi, Yan Yan, Tomi P. Mäkelä, Saara Ollila and Kari Vaahtomeri. Their work appears in journals such as PLoS ONE, Nature Communications, Current Opinion in Endocrinology Diabetes and Obesity, Neuropeptides and Current Osteoporosis Reports.

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