Jane Jun‐Xin Ong

8 papers receiving 705 citations

Jane Jun‐Xin Ong's Hit Papers

The genetic design of signaling cascades to record receptor activation 2007 · 528 citations
5280+6+12Years since publication100200300400500

Peers

Jane Jun‐Xin Ong
Comparison fields: 5 of 96
  • Speech and Hearing 99
  • Cellular and Molecular Neuroscience 175
  • Endocrine and Autonomic Systems 36
  • Molecular Biology 360
  • Food Science 74
Replace Tomonari Hamaguchi with:
Tomonari Hamaguchi Japan
Tariq Zaman Pakistan
B Hunyady Hungary
Rodolphe Auger France
В. Б. Садовников Russia
Victoria Maneu Spain
Shuiming Wang China
John D. McLaren United States
Zachary A. Pfeiffer United States
Jane Jun‐Xin Ong relative to Tomonari Hamaguchi Japan Tomonari Hamaguchi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jane Jun‐Xin Ong

Since Specialization
Citations

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

Fields of papers citing papers by Jane Jun‐Xin Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Jun‐Xin Ong. 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 Jane Jun‐Xin Ong. The network helps show where Jane Jun‐Xin Ong may publish in the future.

Co-authors

The 17 scholars most cited alongside Jane Jun‐Xin Ong, 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 Jane Jun‐Xin Ong Line = papers co-authored together Jane Jun‐Xin Ong links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
The genetic design of signaling cascades to record receptor activation
Hit paper breakdown →
2007528
2 201880
3 201858
4 201728
5 201917
6 20234
7 20242
8 20251
9 20250

About Jane Jun‐Xin Ong

Jane Jun‐Xin Ong is a scholar working on Food Science, Speech and Hearing, Nutrition and Dietetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 718 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (4 papers), Dysphagia Assessment and Management (3 papers), Multisensory perception and integration (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Voice and Speech Disorders (2 papers), Tracheal and airway disorders (2 papers), Child Nutrition and Feeding Issues (1 paper) and Bee Products Chemical Analysis (1 paper). The work is most often cited by research in Speech and Hearing (99 citations), Cellular and Molecular Neuroscience (175 citations), Endocrine and Autonomic Systems (36 citations), Molecular Biology (360 citations) and Food Science (74 citations). Jane Jun‐Xin Ong has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Yemiliya Berman, Richard Axel, Brian Kloss, Walter Strapps, Kevin J. Lee, Gilad Barnea, Gilles Herrada, Lisa M. Duizer, Catriona M. Steele and Weibiao Zhou. Their work appears in journals such as Food Quality and Preference, Food Hydrocolloids, Journal of Food Science, Proceedings of the National Academy of Sciences and Journal of Speech Language and Hearing Research.

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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